Search results “Spectral analysis lecture notes”

Lecture Series on Estimation of Signals and Systems by Prof.S. Mukhopadhyay, Department of Electrical Engineering, IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in

Views: 50498
nptelhrd

MIT 18.S096 Topics in Mathematics with Applications in Finance, Fall 2013
View the complete course: http://ocw.mit.edu/18-S096F13
Instructor: Peter Kempthorne
This is the first of three lectures introducing the topic of time series analysis, describing stochastic processes by applying regression and stationarity models.
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu

Views: 155631
MIT OpenCourseWare

http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files.
Representation of wide sense stationary random processes in the frequency domain - the power spectral density or power spectrum is the DTFT of the autocorrelation sequence for a random process and describes the contribution of each frequency to the overall variance of the process.

Views: 98577
Barry Van Veen

In this "p5.js Sound Tutorial" video, I use the p5.FFT object to analyze the frequencies (spectrum array) of a sound file. I create a "graphic equalizer" like visualization.
Support this channel on Patreon: https://patreon.com/codingtrain
Send me your questions and coding challenges!
Contact: https://twitter.com/shiffman
p5.js sound library reference: https://p5js.org/reference/#/libraries/p5.sound
p5.FFT object reference: https://p5js.org/reference/#/p5.FFT
Kristian Pedersen's this.dot song: https://soundcloud.com/kristianpedersen/this-dot-feat-daniel-shiffman
Source Code for the Video Lessons: https://github.com/CodingTrain/Rainbow-Code
p5.js: https://p5js.org/
Processing: https://processing.org
For More Sound in p5.js videos: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6aFcVjlDAkkGIixw70s7jpW
Help us caption & translate this video!
http://amara.org/v/YIOn/

Views: 72381
The Coding Train

What is power spectral density psd (the concept) in analog communications systems
full playlist : /playlist?list=PLzY6CURHfUarM0JnZ7f5UJLvz_Bm4f33_
By Dr.Ivical kostanic
Florida institute of technology
communications theory course

Views: 75741
Mohamed el shenawy

This lecture introduces the concept of ground motion parameters, which are used to quantify various aspects of an earthquake time history. Signal processing is briefly discussed.

Views: 5988
Office Hours

This is the fundamental of Electrical Engineering Course offered on Coursera, Rice university and professor Don H. Johnson
https://class.coursera.org/eefun-002
For detail such as course notes. assignments, and degree you must register at Coursera,

Views: 159
Alan Saberi

Learn about the ETABS building analysis and design program.
Copyright 2016 Computers and Structures, Inc.
Visit http://www.csiamerica.com for more information.

Views: 42458
Computers and Structures, Inc.

This organic chemistry video tutorial provides a review of IR Infrared Spectroscopy and how you can use it to distinguish one molecule from another according to their functional groups. This video contains plenty of lecture notes as well as a few multiple choice practice problems that will help you for your next organic chemistry test or exam.
Here's the link for the complete video:
https://vimeo.com/ondemand/irspectroscopyreview
General Chemistry Video Playlist:
https://www.youtube.com/watch?v=n5vjCqnVb6s&index=1&t=25s&list=PL0o_zxa4K1BU3gxU8RwqkEET2ilZ80Znj
Access to Premium Videos:
https://www.patreon.com/MathScienceTutor
Facebook: https://www.facebook.com/MathScienceTutoring/
Here is a list of topics covered in this video:
1. Introduction to IR Spectroscopy
2. Absorption of IR energy - Molecular Vibrations - Stretching, Compression, & Bending
3. Concept of Transmittance and Absorbance
4. Relationship Between Wavelength, Wavenumber cm^-1, Frequency, and Energy
5. Signal Characteristics Shape: Broad vs Sharp
6. Signal Intensity: Weak, Medium, or Strong
7. The effect of hydrogen bonding and bond polarity on signal shape and intensity
8. Diagnostic / Functional Group Region vs Fingerprint Region
9. The Relationship Between The Mass of the Atom and The Wavenumber
10. Relationship Between Bond Strength and Wavenumber
11. The Effect of Conjugation on IR Frequency Absorption
12. IR Spectrum For Alkanes, Alkenes, & Alkynes
13. IR Spectrum of an Internal Alkyne vs a Terminal Alkyne
14. IR Active vs IR Inactive Compounds - Symmetrical & Assymetrical Bonds
15. Electric Field, Force, & Dipole Moments - IR Bond Stretch vs Compression
16. IR Spectrum of a Carboxylic Acid vs an Alcohol - OH Stretch
17. IR Spectrum of Aldehydes & Ketones: C=O Carbonyl Stretch @ 1700 cm^-1
18. IR Graph of Esters and Ethers: C-O Stretch @ 1000 to 1300. Sp2 vs Sp3 Hybridized Carbon
19. IR Graph of Primary and Secondary Amines: Single vs Double Peak at 3300 & 3400 cm^-1
Symmetric and Assymetric Stretching of NH2 Hydrogen Atoms.
20. IR Spectrum of Amides & Nitriles
21. Carbonyl C=O Stretch - Resonance Electron Donating Groups vs Inductive Electron Withdrawing Groups
22. IR Spectrum of Aromatic Benzene Ring Derivatives C=C & =CH Stretch

Views: 149743
The Organic Chemistry Tutor

Describes how to use the spectrogram in Sonic Visualizer and a spectrum analyzer to view frequency content of audio and decide how to modify timbre for the purpose of designing musical sound. Also shows how filtering modifies the timbre of audio by changing the frequency spectrum.
Part 1 shows how the spectrum analyzer is used to display the frquency content of raw audio as it is playing, and how the spectrogram in Sonic Visualizer displays the entire frequency spectrum of your audio clip.
Part 2 shows how a filter can be used to boost or attenuate various frequency bands in the audio and thus change the timbre.
Your feedback and comments are appreciated!

Views: 1134
Scotty Auble

Visit our website for the notes of this lecture: https://knowbeetutoring.wordpress.com/
Get private tutoring from anywhere in the world, via your computer, from this instructor. He offers help in Organic Chemistry, General Chemistry, Physics, MCAT, PCAT, and DAT.
SUBMIT AN MCAT PROBLEM AND I WILL SHOW YOU HOW TO SOLVE IT VIA VIDEO. FREE. VISIT WEBSITE FOR DETAILS.
https://knowbeetutoring.wordpress.com/

Views: 84813
Knowbee

UV Visible spectroscopy explained lecture - This lecture explains about the UV visible spectroscopy technique.This explains how colorimetric analysis of samples are done using the transmittance and absorbance of the sample molecule using beer Lambert law. UV vis spectroscopy is used to identify the concentration of the test sample. Here I also explained the beer lambert law and how beer lambert law is derived.
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Remember Shomu’s Biology is created to spread the knowledge of life science and biology by sharing all this free biology lectures video and animation presented by Suman Bhattacharjee in YouTube. All these tutorials are brought to you for free. Please subscribe to our channel so that we can grow together. You can check for any of the following services from Shomu’s Biology-
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Thank you for watching the video lecture on UV Vis spectroscopy.

Views: 208585
Shomu's Biology

Joseph Fourier developed a method for modeling any function with a combination of sine and cosine functions. You can graph this with your calculator easily and watch the modeling in action. Make sure you're in radian mode and let c=1:
f(x) = 4/(pi)*sin(x) + 4/(3pi)*sin(3x) + 4/(5pi)*sin(5x) + 4/(7pi)*sin(7x) + 4/(9pi)*sin(9x) + 4/(11pi)*sin(11x)

Views: 818273
Saul Rémi

IR spectroscopy principle basics - This lecture explains about the infrared spectroscopy also known as IR spectroscopy. IR spectroscopy is important to understand the structure of unknown molecules and chemical structures.
Infrared Spectroscopy is the analysis of infrared light interacting with a molecule. This can be analyzed in three ways by measuring absorption, emission and reflection.
This video lecture will help you to understand the IR spectroscopy mechanism and the use of infrared spectroscopy in organic and inorganic chemistry. Advantages and disadvantages of IR spectroscopy is well explained in this video lecture.
For more information, log on to-
http://www.shomusbiology.com/
Get Shomu's Biology DVD set here-
http://www.shomusbiology.com/dvd-store/
Download the study materials here-
http://shomusbiology.com/bio-materials.html
Thank you for watching IR spectroscopy lecture by Suman Bhattacharjee
This video is inspired by the work of YouTube video of Knowbee channel. You can watch it here-
https://www.youtube.com/watch?v=0S_bt3JI150

Views: 259078
Shomu's Biology

LJ. Stanković, M. Daković, E. Sejdić, “Vertex-frequency analysis: A way to localize graph spectral components,” IEEE Signal Processing Magazine, vol. 34, no. 4, pp. 176-182, July 2017.
DOI: 10.1109/MSP.2017.2696572
ABSTRACT:
Currently, brain and social networks are examples of new data types that are massively acquired and disseminated. These networks typically consist of vertices (nodes) and edges (connections between nodes). Usually, information is conveyed through the strength of connection among nodes, but in recent years, it has been discovered that valuable information may also be conveyed in signals that occur on each vertex. However, traditional signal processing often does not offer reliable tools and algorithms to analyze such new data types. This is especially true for cases where networks (e.g., the strength of connections), or signals on vertices, have properties that change over the network. This lecture note presents a new method to analyze changes in signals on graphs. This method, called the vertex-frequency analysis, relies on Laplacian matrices to establish connections between vertex changes and spectral content. Specifically, this lecture note aims to connect concepts from frequency and time-frequency analyses to the spectral analysis of graph signals. Graph signal processing is a major research area, however, we still lack understanding of how to relate graph signal processing concepts to concepts from traditional signal processing.
#graphs #data #datascience #dataanalysis #signalprocessing #dataanalytics #engineering #science #research #innovation #neurosignals #neuroscience

Views: 13
Ervin Sejdic

Lecture by Professor Brad Osgood for the Electrical Engineering course, The Fourier Transforms and its Applications (EE 261). Professor Osgood provides an overview of the course, then begins lecturing on Fourier series.
The Fourier transform is a tool for solving physical problems. In this course the emphasis is on relating the theoretical principles to solving practical engineering and science problems.
Complete Playlist for the Course:
http://www.youtube.com/view_play_list?p=B24BC7956EE040CD
EE 261 at Stanford University:
http://eeclass.stanford.edu/ee261/
Stanford University:
http://www.stanford.edu
Stanford University Channel on YouTube:
http://www.youtube.com/stanford

Views: 959058
Stanford

http://video-demos.colostate.edu/
Sound measurements, waveform properties, and spectral analysis of a vibrating tuning fork.
NOTE - the frequency C523.3 corresponds to the C an octave above middle C, not middle C.
More engineering and physics-related video demonstrations can be found here:
http://video-demos.colostate.edu/

Views: 29622
DrDaveBilliards

An explanation of the production of x-rays and how various factors can affect the x-ray output from the tube.

Views: 22063
lscphysics

----------------------------
Table of Content
----------------------------
** Introduction to the concept of DFT-based spectral analysis 00:00
** DFT-based spectral analysis and spectral leakage 9:51
** Detailed discussion of spectral analysis using the DFT 17:36
** Demonstrating DFT-based spectral analysis 45:00
In this video lecture, undergraduate students are introduced to the concept of spectral analysis using the DFT. The concept of spectral leakage is also briefly discussed without going into a formal analysis of this issue.

Views: 2389
SigProcessing

Spectral analysis of a musical recorder (played poorly).

Views: 184
Alejandro Garcia

Speech and Audio Processing - Lecture notes available from: http://eemedia.ee.unsw.edu.au/contents/elec9344/LectureNotes/

Views: 29220
UNSWelearning

This workshop will provide a hands-on experience on using SAP2000 for estimating response of structure subject to dynamic loads. A simple steel moment-frame structure will be used to demonstrate steps involved in performing modal, pushover, response-spectrum, and response time-history analysis. Different options available in SAP2000 to capture nonlinear behavior of structure and their effects on structural response will also be discussed.
Presentation and supporting materials are available here:
http://www.manishkumar.org/resources/softwares/SAP2000/MyTutorial/NDA/SAP2000_Nonlinear_Dynamic_Analysis.pdf
http://www.manishkumar.org/resources/softwares/SAP2000/MyTutorial/NDA/Files.zip
Note: The scale factor in nonlinear response history analysis case should be 0.01 (I first assigned it 9.81, and then 0.1) to convert the values in ground motion file from cm/sec2 to m/sec2.

Views: 23291
maksins

This is per request by GermanOperaSinger =D
The most important takeaway here is the difference between falsetto and full voice in GOS's singing. That happens at the end of the video.
The spectral analysis of the falsetto notes shows less resonance on the higher formants, especially the squillo (around 3kHz) which I will annotate earlier in the video and again at this point near the end. The squillo for GOS's falsetto is much smaller (dimmer in the video), than that of his full voice singing right before and after. Also, the formants above the singer's formant (squillo) are dimmer.
This is consistent with the lower resonance of falsetto singing. Due to the fact that GOS trained heavily using falsetto, his falsetto is highly developed and difficult to distinguish from his full voice. But if you listen for the greater ring and resonance in the full voice, and the tiny (very tiny) breathiness in the falsetto, you can tell the difference.
Other comments. Good width to the vibrato, when it is stabilized...gives vibrancy to the tone. Good chiaro evidenced by the strong (bright) lowest formants above the base frequency. Squillo is high (usually above 3kHz) and of a relative strength consistent with a lyric tenor voice (both facts are consistent with a lyric tenor, I mean). Other formants' relative strength also consistent with lyric tenor. Good, full set of formants indicating a free, resonant voice.
That was more than I planned to write! Also watch for the annotations...

Views: 8239
aaronsande

An animated introduction to the Fourier Transform, winding graphs around circles.
Supported by viewers: https://www.patreon.com/3blue1brown
Special thanks to these Patrons: http://3b1b.co/fourier-thanks
Follow-on video about the uncertainty principle: https://youtu.be/MBnnXbOM5S4
Puzzler at the end by Jane Street: https://janestreet.com/3b1b
Music by Vincent Rubinetti:
https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown
------------------
3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted on new videos, subscribe, and click the bell to receive notifications (if you're into that).
If you are new to this channel and want to see more, a good place to start is this playlist: http://3b1b.co/recommended
Various social media stuffs:
Website: https://www.3blue1brown.com
Twitter: https://twitter.com/3Blue1Brown
Patreon: https://patreon.com/3blue1brown
Facebook: https://www.facebook.com/3blue1brown
Reddit: https://www.reddit.com/r/3Blue1Brown

Views: 1517739
3Blue1Brown

086 - Emission and Absorption Spectra
In this video Paul Andersen explains how the photons emitted from or absorbed by an atom or nuclei is directly related to electrons moving between energy level. Absorption and emission are a direct result of the conservation of energy. Scientists may use the emission spectra of material to determine the atoms or molecules contained within the material.
Do you speak another language? Help me translate my videos:
http://www.bozemanscience.com/translations/
Music Attribution
Title: String Theory
Artist: Herman Jolly
http://sunsetvalley.bandcamp.com/track/string-theory
All of the images are licensed under creative commons and public domain licensing:
English: Colorful Spectrum simulationEspañol: Espectro de Colores de La Luz visibleEsperanto: Koloroj Videblaj中文（简体）: 软件模拟的可见光谱。中文（繁體）: 軟件模擬的可見光譜。, August 27, 2008. Digitally created by Deborah S Krolls, December 13, 2004. http://commons.wikimedia.org/wiki/File:Spectrum4websiteEval.png.
“Gas-Filled Tube.” Wikipedia, the Free Encyclopedia, January 31, 2015. http://en.wikipedia.org/w/index.php?title=Gas-filled_tube&oldid=634245710.
Kuiper, Pieter. English: Fridge Letters in Natural Light, November 9, 2009. Own work. http://commons.wikimedia.org/wiki/File:Fluorescence_off.jpg.
———. English: Plastic Fridge Letters (from Different Manufacturers) When a Fluorescent Lamp (Labino) Is Switched on, November 9, 2009. Own work. http://commons.wikimedia.org/wiki/File:Fluorescence_on.jpg.
Kurzon. English: A Simple Illustration of Bohr’s Model of the Atom, with an Electron Making Quantum Leaps., April 14, 2014. Own work. http://commons.wikimedia.org/wiki/File:Bohr_atom_animation.gif.

Views: 291258
Bozeman Science

NMR spectroscopy lecture by Suman Bhattacharjee - This lecture explains about the NMR spectroscopy basics. Nuclear magnetic resonance spectroscopy, most commonly known as NMR spectroscopy, is a research technique that exploits the magnetic properties of certain atomic nuclei. It determines the physical and chemical properties of atoms or the molecules in which they are contained. It relies on the phenomenon of nuclear magnetic resonance and can provide detailed information about the structure, dynamics, reaction state, and chemical environment of molecules. The intramolecular magnetic field around an atom in a molecule changes the resonance frequency, thus giving access to details of the electronic structure of a molecule.
Most frequently, NMR spectroscopy is used by chemists and biochemists to investigate the properties of organic molecules, although it is applicable to any kind of sample that contains nuclei possessing spin. Suitable samples range from small compounds analyzed with 1-dimensional proton or carbon-13 NMR spectroscopy to large proteins or nucleic acids using 3 or 4-dimensional techniques. The impact of NMR spectroscopy on the sciences has been substantial because of the range of information and the diversity of samples, including solutions and solids.
NMR spectra are unique, well-resolved, analytically tractable and often highly predictable for small molecules. Thus, in organic chemistry practice, NMR analysis is used to confirm the identity of a substance. Different functional groups are obviously distinguishable, and identical functional groups with differing neighboring substituents still give distinguishable signals. NMR has largely replaced traditional wet chemistry tests such as color reagents for identification. A disadvantage is that a relatively large amount, 2–50 mg, of a purified substance is required, although it may be recovered. Preferably, the sample should be dissolved in a solvent, because NMR analysis of solids requires a dedicated MAS machine and may not give equally well-resolved spectra. The timescale of NMR is relatively long, and thus it is not suitable for observing fast phenomena, producing only an averaged spectrum. Although large amounts of impurities do show on an NMR spectrum, better methods exist for detecting impurities, as NMR is inherently not very sensitive.
NMR spectrometers are relatively expensive; universities usually have them, but they are less common in private companies. Modern NMR spectrometers have a very strong, large and expensive liquid helium-cooled superconducting magnet, because resolution directly depends on magnetic field strength. Less expensive machines using permanent magnets and lower resolution are also available, which still give sufficient performance for certain application such as reaction monitoring and quick checking of samples. There are even benchtop NMR spectrometers.
This important and well-established application of nuclear magnetic resonance will serve to illustrate some of the novel aspects of this method. To begin with, the nmr spectrometer must be tuned to a specific nucleus, in this case the proton. The actual procedure for obtaining the spectrum varies, but the simplest is referred to as the continuous wave (CW) method. A typical CW-spectrometer is shown in the following diagram.
Article source - Wikipedia.org
For more information, log on to-
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Get Shomu's Biology DVD set here-
http://www.shomusbiology.com/dvd-store/
Download the study materials here-
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Remember Shomu’s Biology is created to spread the knowledge of life science and biology by sharing all this free biology lectures video and animation presented by Suman Bhattacharjee in YouTube. All these tutorials are brought to you for free. Please subscribe to our channel so that we can grow together. You can check for any of the following services from Shomu’s Biology-
Buy Shomu’s Biology lecture DVD set- www.shomusbiology.com/dvd-store
Shomu’s Biology assignment services – www.shomusbiology.com/assignment -help
Join Online coaching for CSIR NET exam – www.shomusbiology.com/net-coaching
We are social. Find us on different sites here-
Our Website – www.shomusbiology.com
Youtube- https://www.youtube.com/user/TheFunsuman
Thank you for watching NMR spectroscopy lecture by Suman Bhattacharjee.

Views: 252917
Shomu's Biology

This video explains- Frequency Spectrum of Amplitude Modulation, am Waveform and Equation Derivation. Time domain and frequency domain waveforms with equations, along with basics of amplitude modulation.
For more detailed description, visit my blog (link below)
http://www.engineeringmadeeasypro.com/
What is Amplitude Modulation (AM)
Definition:-
Amplitude Modulation, is a system, where the maximum amplitude of the carrier wave varies, according to the instantaneous value (amplitude) of the modulating (message or baseband) signal.
Note:-
In case of Frequency Modulation (FM) or Phase Modulation (PM), the frequency or phase respectively, of the carrier wave varies, according to the instantaneous value of the modulating (message) signal.
In the previous post, I discussed; what is amplitude modulation and its various properties. We talked about only the time domain analysis of the amplitude modulation. We saw here, how the waveform changes with time but here, we will discuss the frequency domain analysis of the amplitude modulation. Here you will see, how the spectrum of modulating signal, carrier signal and modulated wave looks like. I will also derive here the equation of AM wave in frequency domain. So let's start...
Amplitude modulation (Time Domain Equations)
As per the discussion in previous post on Amplitude Modulation, we know that-
x(t) Modulating signal (also called as Message signal or Baseband signal)
c(t) = Acos(wct) Carrier wave
s(t) = [A+x(t)]cos(wct)
=x(t) cos(wct)+ Acos(wct) Amplitude Modulated wave…(i)
Here ‘A’ is the amplitude of the carrier wave and
‘wc’ is the angular frequency of the carrier wave
Fourier Transform of waves (Spectrum i.e. frequency domain representation of the waves)
Here all the equations are in time domain, so to get the spectrum of all these waves, i.e. frequency domain representation of the waves, we need to find out the Fourier transform (FT) of the waves.
The Fourier Transform (FT) will convert the Time Domain into Frequency Domain.
We are now going to find the Fourier Transform (FT) of the Amplitude Modulated Wave, s(t).
F[s(t)]= F[x(t) cos(wct) + Acos(wct)]
= F[x(t) cos(wct)] + F[Acos(wct)]…(ii)
The equation (ii), has two parts, Lets say..
x(t) cos(wct) Part 1 &
Acos(wct) Part 2
So let's find out the Fourier Transform of each of these parts separately.
First,we will start with finding the Fourier transform of the part 2 of equation (ii).
On doing all the calculations, we derived the Fourier Transform (FT) of Part 1 of AM Wave, that is given below and also in the image as equation (iii)
FT of [Acos(wct)]= Pi A[Delta(w+wc)+Delta(w-wc)]…(iii)
We will need this later, after finding the FT of another part of the Amplitude Modulated Wave.
So one important thing that you should notice here is that, this equation (iii) means, Fourier transform of “Acos(wct)” has two impulses of strength (Amplitude) "Pi A” at “+- Wc”.
We will see this, when we will draw the spectrum of the waves, Now let’s calculate the Fourier transform of another part.
By frequency shifting theorem of Fourier transform we know that, if the Fourier transform of x(t) is X(w) then the Fourier transform of [e^(jwct)x(t)], i.e. if we multiply x(t) signal with [e^(jwct) then its Fourier transform would be X(w-wc), let’s call this as equation (iv).
In the same way we can write
FT of [e^(-jwct)x(t)] is X(w+wc)…(v)
So from equations (iv) and (v),
The FT of x(t)[cos(wct)] is,
F[x(t){cos(wct)}] =1/2[X(w-wc)+X(w+wc)]…(vi)
This equation (vi) means, that on multiplying x(t) by
cos(wct), the spectrum of X(w) shifts by (+-wc).
Now we will combine, the Fourier Transforms of both parts of the Amplitude modulated wave, Part 1 and Part 2 of equation (ii),
that we calculated in the equations (iii) and (vi).
So the final equation of Amplitude modulated wave in Frequency Domain (Fourier Transform of the AM wave)
If F[s(t)] is S(w) then
S(w) = 1/2[X(w-wc)+X(w+wc)] + Pi A[Delta(w+wc)+Delta(w-wc)]
Waveform (Time Domain) and Spectrum (Frequency Domain) of the Amplitude Modulation
So this was the Mathematical part including equations and derivations, now we will see the waveform of these waves in time domain and in frequency domain (Spectrum).
Here I will draw the waveform (time domain) and spectrum (Frequency domain) of the modulating signal x(t), carrier signal c(t) and amplitude modulated wave s(t).
From the waveforms (time domain),we can see that
Modulating signal x(t) can have (as in this case)
Multiple Frequencies and
Variable Amplitude
Carrier wave c(t) (a high frequency wave used as a carrier of the message signal (modulating signal) has (in this case)
Constant amplitude
Constant frequency (High frequency)
Amplitude Modulated wave s(t) has-
Variations in Carrier wave Amplitude, that varies as per instantaneous value of the modulating signal (message signal). This varying amplitude present in the Amplitude modulated wave contains information about the message.

Views: 7787
Engineering Made Easy

Table of Contents:
00:00 - Introduction
00:52 - General Theory of IR Spectroscopy
10:40 - Overview of the IR Spectrometer
14:56 - Signal Intensity in an IR Spectrum
19:08 - Location of Peaks in an IR Spectrum
48:48 - Guide to Analyzing an IR Spectrum

Views: 118731
Josh Osbourn

Visit our website for the notes of this lecture: https://knowbeetutoring.wordpress.com/
Get private tutoring from anywhere in the world, via your computer, from this instructor. He offers help in Organic Chemistry, General Chemistry, Physics, MCAT, PCAT, and DAT.
SUBMIT AN MCAT PROBLEM AND I WILL SHOW YOU HOW TO SOLVE IT VIA VIDEO. FREE. VISIT WEBSITE FOR DETAILS.
https://knowbeetutoring.wordpress.com/

Views: 34333
Knowbee

Giorgis Petridis's talk at the NSF-CBMS Conference on Additive Combinatorics from a Geometric Viewpoint hosted by the IMI at USC. This talk was given on May 23, 2018.
For abstract and lecture notes and other information about the conference, see http://imi.cas.sc.edu/events/784/

Views: 11
IMI USC

Video Lecture Series by IIT professors (Not Available in NPTEL)
Video Lectures on "Signals and Systems" by Prof. S.C. Dutta Roy Sir
For more Video Lectures...... www.satishkashyap.com
For free ebooks ...... www.ebook29.blogspot.com
1. Introduction to the Course and Basic Concepts
2. Signals & their Transportation
3. Elementary Signals in the Discrete Time Domain
4. Characterisation of Signals
5. Basic concepts of Linear Time Systems
6. Convolution Invertibility, & Stability Causality
7. Stability Unit, Step Response and Differential Equations
8. Systems Described by Differential & Difference Equations
9. Fourier & His Series
10. More About Fourier Series (With Uncomfortable Questions)
11. Those Uncomfortable Questions about the Existence of Fourier & Series and Some More
12. Introduction to Fourier Transform
13. Fourier Transform of Periodic Function & Fourier Transform Properties
14. More Properties of Fourier Transformation
15. Anatomy of a Class Test & a Continued Look at the Properties of F.T.
16. Modulation, Convolutions and Other Interesting Properties of F.T.
17. A Deeper Look at the Modulation Property of F.T.
18. Fourier Analysis of Discrete Time Signals & Systems - The Beginning
19. More About Fourier Transform of Discrete Time Signals
20. Further Look into the Properties of DTFT
21. Convolution, Modulation & Other Properties of DTFT
22. Farewell to Discrete Time Fourier Transform & Introduction to Sampling
23. More About Sampling
24. Introduction to Laplace Transform
25. Region of Convergence of Laplace Transform & Properties of Laplace Transform
26. Properties of Laplace Transform (Contd.)
27. Concluding Discission on Laplace Transform
28. Introduction to Z Transform
29. Properties of Z Transform
30. Further Discussion on Properties of Z Transform
31. Solution to Class Test - 2, Concluding Discussion on Z Transform
32. Introduction to Random Signals & Probability
33. Probability Functions
34. Solutions to Minor Z Problems & more about PDF & pdf
35. More About PDF'S & pdf's
36. Classification of Random Processes & Introduction to Correlation Functions.
37. More About Correction Functions
38. Cross Correlation Function and their Properties
39. Introduction to Spectral Density
40. More About Spectral Density
41. Response of Linear System to Random Inputs
42. Frequency Domain Analysis of LTI Systems Excited by Random Inputs

Views: 302849
Satish Kashyap

X ray crystallography basics explained - This lecture explains about the X ray crystallography technique to understand the protein structure.
X-ray Crystallography is a scientific method used to determine the arrangement of atoms of a crystalline solid in three dimensional space. This technique takes advantage of the interatomic spacing of most crystalline solids by employing them as a diffraction gradient for x-ray light. This video lecture describes the principles of x ray crystallography and the mechanisms of x ray diffraction studies that gives arise to the crystallographic structure of unknown protein samples.
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Thank you for watching X ray crystallography basics lecture

Views: 120974
Shomu's Biology

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In this Tutorial we are Learning to do Response Spectrum Analysis of RCC Building Designed Using #IS456 and Analysis of Earthquake response Using #IS1893_2002. Part-1.
NEW IS 1893:2016 (DRAFT) | PDF | Free Download: http://moonbookz.blogspot.in/2016/10/new-is-18932016-draft-pdf-free-download.html
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Views: 15129
Qamar Moonboy

Sampling Theorem
Watch more videos at https://www.tutorialspoint.com/videotutorials/index.htm
Lecture By: Ms. Gowthami Swarna, Tutorials Point India Private Limited

Views: 44468
Tutorials Point (India) Pvt. Ltd.

How to extract physical information from stellar spectra is a century-old effort,
brilliantly advanced by Cecilia Payne in her thesis. Over the last decade,
the exponential growth in the quantity and quality of stellar spectra has outpaced
the advances in building ab initio models for stellar spectra. Consequently,
much of the information content of stellar spectra in current surveys goes
to waste, both in terms of the kinds of physical quantities to be extracted,
and in terms of precision. I will lay out new ways to read physics from stellar spectra,
and what this is starting to teach us about stars and the Galaxy.
Armed with these interpretive tools, the road ahead leads to SDSS V, whose
all-sky, multi-epoch spectroscopy can genuinely offer to boost a renaissance
in stellar astrophysics.

Views: 1721
CfA Colloquium

Basics of esr spectroscopy, principle and Hyperfine splitting and how to find number of lines and patterns of splitting.

Views: 22273
Priyanka Jain

Lecture Series on Digital Signal Processing by Prof.S. C Dutta Roy, Department of Electrical Engineering, IIT Delhi. For More details on NPTEL visit http://nptel.iitm.ac.in

Views: 227846
nptelhrd

What is nmr or nuclear magnetic resonance spectroscopy ,its basic principle , nmr equation, interpretation of nmr spectra, chemical shift ,splitting of signals ,spin- spin coupling , coupling constant ,effect of shielding and deshielding on nmr signals

Views: 73058
Priyanka Jain

Trân Quang Hai showed the spectrum of 7 CHAKRAS thanks to the software Overtone Analyzer.
Filmed in Limeil Brevannes, France, Sunday 22 February 2009

Views: 1431
QuangHai Tran

Visit our website for the notes of this lecture: https://knowbeetutoring.wordpress.com/
Get private tutoring from anywhere in the world, via your computer, from this instructor. He offers help in Organic Chemistry, General Chemistry, Physics, MCAT, PCAT, and DAT.
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Knowbee

Views: 140519
Knowbee

© 2018 Summary of the newspaper articles

The Key Elements of Portfolio Management. Portfolio Management Tips for Young Investors. One of the reasons most often given for not investing is a lack of knowledge and understanding of the stock market. This objection can be overcome through self-education and step-by-step through the years because investors learn by investing. Classes in investing are also offered by a variety of sources, including city and state colleges, civic groups, and not-for-profit organizations, and there are numerous books aimed at the beginning investor. Start Early. Early Higher Risk Allocation. An Exemplary Egg. The idea is to select stocks across a broad spectrum of market categories. This is best achieved through an index fund. Aim to invest in conservative stocks with regular dividends, stocks with long-term growth potential, and a small percentage of stocks with better returns or higher risk potential. Certain AAA-rated bonds are also good investments for the long term, either corporate or government. Long-term U.S. Treasury bonds, for example, are safe and pay a higher rate of return than short- and mid-term bonds. Keep Costs to a Minimum.