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163. Noise: Random Processes Review, Auto- and Cross Correlation, Power Spectrum
 
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Analog Integrated Circuit Design, Professor Ali Hajimiri California Institute of Technology (Caltech) http://chic.caltech.edu/hajimiri/ © Copyright, Ali Hajimiri
Views: 12393 Ali Hajimiri
Random Variable and Process- Communication System, Important GATE questions
 
02:13:27
Pre-book Pen Drive and G Drive at www.gateacademy.shop GATE ACADEMY launches its products for GATE/ESE/UGC-NET aspirants. Postal study course - https://gateacademy.co.in/postalcours... Pen Drive and G Drive course - https://gateacademy.co.in/pendrivecou... Online Live Classes - https://gateacademy.co.in/liveclassro... Visit the above links for more information and pricing information. You can also contact us on - +91-9109192176 +91-9109183176 ------------------------------------------------------------------------------------------------------------ Like us on our Facebook page for more details .. https://www.facebook.com/gateacademyo... ------------------------------------------------------------------------------------------------------------ Check out our Web & Social handles for more details .. 1. Website : www.gateacademy.co.in 2. Email : [email protected] 3. Instagram : gate_academybhilai 4. Twitter : gate_academy
Views: 58235 GATE ACADEMY
Lec-29 Random Signals
 
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Lecture Series on Digital Signal Processing by Prof.T.K.Basu, Department of Electrical Engineering, IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 6568 nptelhrd
Time Series Analysis - 3.1.2 - Stationarity - 1st Examples - White Noise and Random Walks
 
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Practical Time Series Analysis PLAYLIST: https://tinyurl.com/TimeSeriesPlaylist 3 - Stationarity 1.2 - Stationarity - 1st Examples - White Noise and Random Walks
Views: 1404 Bob Trenwith
Lecture 1 | Random Signals and Noise
 
01:52:14
Probability spaces, properties of probability measures, conditional probability.
Correlation Explanation with Demo
 
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Correlation provides a measure of similarity between two signals. This video explains process of correlating discrete signals and highlights when normalised correlation is required.
Views: 78998 David Dorran
How to remove noise from noisy signal in Matlab?
 
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This tutorial video teaches about removing noise from noisy signal using band pass butterworth signal. you can also download the code here at: http://www.jcbrolabs.org/matlab-codes
Views: 21358 sachin sharma
Russia's Ghost Radio Station: What is the Mysterious Sound Heard on UVB-76?
 
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No one knows for sure what is being heard when tuned into radio frequency 4625 kHz. Secret, coded messages sent across airwaves between governments and spies? A signal ready to sound an alarm? Or a mysterious transmission tuned to interact with the ionosphere? Known to be of Russian origin, though this has never been confirmed by the Russian government, the signal was a continuous broadcast of repeated pip that has since become an unsettling looping and buzzing tone. For decades, the source of the broadcast was entirely unknown, until suddenly and unexpectedly, the first spoken words on the station identified it as UVB-76, broadcast from a military bunker in Povarovo, a small town 19 miles outside of Moscow. This interruption was soon followed by new strange and unsettling additions: rustling of someone moving around nearby, a harsh voice reading a series of names and numbers, and faintly eerie music playing in the background… More Dark Docs: Fishing from Airplanes for Soviet Secrets: What was Skyhook - Operation Coldfeet? https://www.youtube.com/watch?v=dXmRYYjyKfE Why did Russia Abandon a Space Shuttle in the Desert? https://www.youtube.com/watch?v=HQIHSgpc0f0
Views: 551189 Dark Docs
Aircrew secret "sign" language - Explained!
 
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Thanks to my sponsor: https://brilliant.org/mentourpilot/ What are those "Dings" and "Dongs" that you can hear in the aircraft cabin from time to time during flight? Are they completely random or do they actually have a deeper meaning? In this episode I will give you BOTH the technical description and the deeper meaning behind SOME of the signals you might hear. As always I would love if you would send in your questions regarding this in the comments and make sure to Subscribe AND highlight the notification bell. To ask me questions directly, download my FREE mobile app! 👇🏻 📲IOS: https://appstore.com/mentouraviation 📲Android: https://play.google.com/store/apps/details?id=com.teamta.mentouraviation To join my Patreon crew: https://www.patreon.com/mentourpilot My instagram: https://www.instagram.com/mentour_pilot
Views: 385113 Mentour Pilot
Geophysics: Seismic - Random noise and its attenuation through stacking
 
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We look at the quantitative characteristics of random noise and provide illustrations of the relative signal-to-noise (S/N) ratio. Although the noise in our recordings may be random, summing several traces together does not completely eliminate the noise. We find that noise is attenuated as the square root of the number of traces summed together in the NMO corrected gather and the the S/N also increases as the square root of number of traces in the gather.
Views: 170 Tom's Geophysics
TV Static White Noise 10 Hours | Sleep, Study, Focus, Work, Mask Tinnitus, Soothe Crying Baby
 
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Buy TV Static MP3: https://goo.gl/B0FlrQ Remember that nice feeling of falling asleep to the sound of static on TV? Digital TVs often go to black or otherwise eliminate the static, so here is some analog white noise goodness. By the way, for you purists out there, this is true white noise. Many of my other videos are white noise variations, but this is the real deal :) Use this sound for sleeping, studying, masking tinnitus and blocking out distracting noises. It is also great for soothing a colicky infant or putting your baby to sleep. In fun trivia, the Indonesian word for white noise translates to "war of the ants." The Hungarian word for white noise translates to "ant soccer". Here's the rest of the Wikipedia entry that mentions those tidbits: From Wikipedia, the free encyclopedia http://creativecommons.org/licenses/by-sa/3.0/ Noise, in analog video and television, is a random dot pixel pattern of static displayed when no transmission signal is obtained by the antenna receiver of television sets and other display devices. The random pattern superimposed on the picture, visible as a random flicker of "dots" or "snow", is the result of electronic noise and radiated electromagnetic noise accidentally picked up by the antenna. This effect is most commonly seen with analog TV sets or blank VHS tapes. There are many sources of electromagnetic noise which cause the characteristic display patterns of static. Atmospheric sources of noise are the most ubiquitous, and include electromagnetic signals prompted by cosmic microwave background radiation,[1] or more localized radio wave noise from nearby electronic devices.[2] The display device itself is also a source of noise, due in part to thermal noise produced by the inner electronics. Most of this noise comes from the first transistor the antenna is attached to.[2] Due to the algorithmic functioning of a digital television set's electronic circuitry and the inherent quantization of its screen, the "snow" seen on digital TV is less random. UK viewers used to see "snow" on black after sign-off, instead of "bugs" on white, a purely technical artifact due to old 405-line British receivers using positive rather than the negative video modulation used in Canada, the U.S., and (currently) the UK as well. Most modern televisions automatically change to a blue screen or turn to standby after some time if static is present. Since one impression of the "snow" is of fast-flickering black bugs on a white background, in Sweden, Denmark and Hungary the phenomenon is often called myrornas krig in Swedish, myrekrig in Danish, hangyák háborúja in Hungarian, and semut bertengkar in Indonesian, which translate to "war of the ants" or sometimes hangyafoci in Hungarian which means "ant soccer", and in Romanian, purici, which translates into "fleas". Video copyright: © Relaxing White Noise LLC, 2014. All rights reserved. Any reproduction or republication of all or part of this video/audio is prohibited.
Views: 176752 Relaxing White Noise
Quick Revision of Random Variables & Processes ..
 
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Pre-book Pen Drive and G Drive at www.gateacademy.shop GATE ACADEMY launches its products for GATE/ESE/UGC-NET aspirants. Postal study course - https://gateacademy.co.in/postalcours... Pen Drive and G Drive course - https://gateacademy.co.in/pendrivecou... Online Live Classes - https://gateacademy.co.in/liveclassro... Visit the above links for more information and pricing information. You can also contact us on - +91-9109192176 +91-9109183176 ------------------------------------------------------------------------------------------------------------ Like us on our Facebook page for more details .. https://www.facebook.com/gateacademyo... ------------------------------------------------------------------------------------------------------------ Check out our Web & Social handles for more details .. 1. Website : www.gateacademy.co.in 2. Email : [email protected] 3. Instagram : gate_academybhilai 4. Twitter : gate_academy
Views: 15229 GATE ACADEMY
Random Noise or Intelligence? We Filter Internet VLF signals LIVE
 
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In this demonstration we ask the question: Could it be possible that there are voices of people in the energy all around us? How much do we really know about the world around us? Will you just listen to what we are told and assume that is all there is? Or will you think outside the box and say "what if?" Discoveries are made by those who question possibilities and discover new ones. In this LIVE Facebook stream on 6/14/17 we take a look at the live VLF stations available on the website: http://abelian.org/vlf/ We stream a station from Cape Coral, Florida and filter it. We also use a creative augmentation technique. After some experimenting we switch to a stream from Italy at request of someone on Facebook. We then filter it and find out that there is something that appears to be voice.... but it shouldn't exist.... If you listen to the world of science they will tell you what is or isn't. Is there voice in the energy all around us? You decide. Presented by Keith J. Clark of iDigitalMedium
Views: 277 iDigitalMedium Team
Prof. Raj Nadakuditi - Signals and Noise
 
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Prof. Nadakuditi's research involves statistical signal processing, random matrix theory, random graphs and light transport through opaque random media. He knows how to find the smallest signals with meaning buried in other random information.
Random Processes - 04 - Mean and Autocorrelation Function Example
 
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http://adampanagos.org The previous videos provided definitions of the mean and autocorrelation function of a random process. In this video we work with the random process X(t) = Asin(wc*t + theta) where both A and theta are random variables. We compute the mean function and autocorrelation function of this random process. We show that the mean function is zero, and the autocorrelation function is just a function of the time difference t1-t2. Thus, this random process is a wide-sense stationary (WSS) random process (which we'll formally define late). If you enjoyed my videos please "Like", "Subscribe", and visit http://adampanagos.org to setup your member account to get access to downloadable slides, Matlab code, an exam archive with solutions, and exclusive members-only videos. Thanks for watching!
Views: 81087 Adam Panagos
Introduction to Analogue Communication
 
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Topics discussed are Random Signals and Processes Autocorrelation and Power Spectral Density Noise and its properties Filtering of random signals through LTI system
Views: 270 Prepare4GaTe
Lecture 5 | Random Signals and Noise
 
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Correlation, covariance, orthogonality, statistical independence, Cauchy-Schwarz inequality, joint characteristic function, affine transformations of random vectors, Gaussian random vectors
Lecture 9 | Random Signals and Noise
 
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Power spectrum density, Wiener-Khinchin theorem, properties of the spectrum
Random signal amplitude vs fft noise amplitude in dB
 
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%random signals % %Team Matlab unchained %20.03.2013 %Day 3 meanY = 0; for k=1:100 y = 2*k*rand(size(t)); Y = fft(y)/N; f = n/N*fs; meanY = mean(20*log10(Y))/100 + meanY; subplot(3,1,2) plot(f,20*log10(abs(Y))); title(['Circle = ',num2str(k),' Amplitude = ',num2str(k*2),' noise mean = ',num2str(meanY)]); ylabel('Amplitude in dB'); xlabel('frequency'); subplot(3,1,1) plot(t,y); xlabel('time'); ylabel('Amplitude'); title('signal'); subplot(3,1,3); hold on; plot(2*k,(2*k/meanY),'O',2*k,(2*k/meanY)); hold off; xlabel('amplitude') ylabel('amplitude/noise-mean'); pause(0.05); shg end
Views: 1462 Daniel Ditzel
Random Radar or Calculated Composition? Unexplained Radio Signals for June 2016
 
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For 10 years I''ve been working with radio - specifically with the hope that non-physical people (ie. people in spirit, the afterlife, etc.) will be able to work with me and eventually..have a full conversation. We've had some success...it's a lot of work. It requires a lot of patience...and a lot of time. Sometimes strange things happen. This month's recording of as-yet-unexplained audio tones on a radio receiver tuned to 25.5Mhz in Clearwater Florida - seeks to look a little further into this phenomena. Are these audio tones just random radar signals - or is there something more? Is there a natural order in radar signals that sounds like classical music? Or could there be intelligent beings using low frequency radio waves to communicate? You Decide.
Views: 320 iDigitalMedium Team
Lecture 2 | Random Signals and Noise
 
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Random variables, probability density function, cumulative distribution function, transformations, expectation, moments.
Lecture 8 | Random Signals and Noise
 
02:25:53
Mean, auto- and cross-correlation, Gaussian processes, strict- and wide-sense stationarity, autoregressive process, linear transformation of stochastic processes, LTI systems, spectrum, cross-spectrum
Signal-to-Noise Ratio
 
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Definition of the signal to noise ratio (SNR) and simple computations with it. More instructional engineering videos can be found at http://www.engineeringvideos.org. This video is licensed under the Creative Commons BY-SA license http://creativecommons.org/licenses/by-sa/3.0/us/.
Views: 193909 Darryl Morrell
Lecture 3 | Random Signals and Noise
 
02:32:53
Characteristic function, Markov inequality, random vectors, joint and marginal distribution, conditional distribution, conditional density, statistical independence
The Power Spectral Density
 
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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: 122291 Barry Van Veen
Lecture 7 | Random Signals and Noise
 
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Random vector estimation, geometric interpretation of estimation, stochastic processes
Special Random Processes Gaussian Process and White Noise AWGN Communication Channel
 
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Lecture 22: In this lecture Prof Aditya K. Jagannatham of IIT Kanpur explains the following concepts in Probability and Random Variables/ Processes for Wireless Communications: 1. Special Random Processes :- a) Gaussian Process b) White Noise - AWGN Communication Channel
Views: 14131 NOC15 Sep-Oct EC07
The Wow! Signal
 
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Deep in an archive in Columbus, Ohio, there’s a slip of paper with a bunch of random-looking letters and numbers printed on it called the ‘Wow’ signal. Hosted by: Caitlin Hofmeister ---------- Dooblydoo thanks go to the following Patreon supporters -- we couldn't make SciShow without them! Shout out to Justin Ove, Justin Lentz, David Campos, Chris Peters, and Fatima Iqbal. ---------- Like SciShow? Want to help support us, and also get things to put on your walls, cover your torso and hold your liquids? Check out our awesome products over at DFTBA Records: http://dftba.com/SciShow Or help support us by becoming our patron on Patreon: https://www.patreon.com/scishow ---------- Looking for SciShow elsewhere on the internet? Facebook: http://www.facebook.com/scishow Twitter: http://www.twitter.com/scishow Tumblr: http://scishow.tumblr.com Instagram: http://instagram.com/thescishow Sources: https://public.nrao.edu/telescopes/radio-telescopes http://www.atnf.csiro.au/outreach/education/everyone/radio-astronomy/index.html http://www.universetoday.com/93754/35-years-later-the-wow-signal-still-tantalizes/ http://news.discovery.com/space/alien-life-exoplanets/the-wow-signal-130524.htm http://channel.nationalgeographic.com/chasing-ufos/articles/what-is-the-wow-signal/ http://www.naic.edu/science/wow_signal_reply2012.html http://www.livescience.com/21171-wow-signal-alien-message-reply.html http://www.huffingtonpost.com/2012/08/09/wow-signal-tweets_n_1762118.html
Views: 289848 SciShow Space
Lecture 10 | Random Signals and Noise
 
02:21:51
Properties of the spectrum, moving average process, estimation, Wiener filter
Lecture 11 | Random Signals and Noise
 
02:20:34
Markovian processes, Markov chains, homogeneous Markov chains, classification of states
Lecture 4 | Random Signals and Noise
 
02:34:12
Convolution theorem, joint statistics, bi-normal distribution
Lecture 12 | Random Signals and Noise
 
02:33:51
Hitting times, recurrent and transient states, stationary distributions, Perron-Frobenius theory
Lecture 13 | Random Signals and Noise
 
02:23:24
Poisson processes
Phase noise measurement on pulsed signals using the R&S®FSWP phase noise analyzer
 
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The R&S®FSWP, a new phase noise and VCO tester from Rohde & Schwarz, quickly and easily measures phase noise and AM noise with cross-correlation on CW and pulsed signals. Equipped with the R&S®FSWP-K4 option, the R&S®FSWP automatically determines all pulse parameters (e.g. pulse repetition rate, pulse width) that are relevant. All results are available at the push of a button, enabling users to focus on optimizing their circuit design. More: https://www.rohde-schwarz.com/product/FSWP
Views: 2177 Rohde Schwarz
Coloured static, visual white noise, random bitmap video, random video signal
 
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30 frames per second 9000 PNG files 1920x1080 bitmap with RGB colors Random RGBs generated with F# programming language using .NET System.Random() PNGS assembled to video using FFMPEG https://gist.github.com/kmrasmussen/25750de8aaf40f48ca3a6ef1ff6f9792
Views: 78 antipiano
Spectral Analysis with MATLAB
 
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See what's new in the latest release of MATLAB and Simulink: https://goo.gl/3MdQK1 Download a trial: https://goo.gl/PSa78r MathWorks engineers illustrate techniques of visualizing and analyzing signals across various applications. Using MATLAB and Signal Processing Toolbox functions we show how you can easily perform common signal processing tasks such as data analysis, frequency domain analysis, spectral analysis and time-frequency analysis techniques. This webinar is geared towards scientists / engineers who are not experts in signal processing. Webinar highlights include: A practical introduction to frequency domain analysis. How to use spectral analysis techniques to gain insight into data. Ways to easily carry out signal measurement tasks. View example code from this webinar here. About the Presenter Kirthi Devleker is the product marketing manager for Signal Processing Toolbox at MathWorks. He holds a MSEE degree from San Jose State University
Views: 43257 MATLAB
Lecture 6 | Random Signals and Noise
 
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Whitening and coloring, estimation, MMSE estimator, best linear estimator
Frequency Spectrum of a Noisy Signal
 
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http://demonstrations.wolfram.com/FrequencySpectrumOfANoisySignal/ The Wolfram Demonstrations Project contains thousands of free interactive visualizations, with new entries added daily. This Demonstration generates a sine wave signal with random noise. You can visualize a plot of the signal's amplitude or its frequency spectrum. The frequency spectrum is calculated using the discrete Fourier transform of sampled amplitude values. Contributed by: Jon McLoone
Views: 2389 wolframmathematica
Lecture 01-Random Processes and Noise
 
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Introduction to Probability
Views: 496 Zahid Khaki
Signal Jamming and Random Interference (excerpt from end of piece)
 
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Performed by the JACK Quartet and Annie Gosfield on December 7, 2014, at Roulette, NYC Composed by Annie Gosfield Signal Jamming and Random Interference is inspired by the sounds, processes, and perceptions of jammed radio signals, a wartime technique used to block an opponent’s radio transmission by broadcasting noise, speech, or other sonic effluvia on the same frequency. This is the last five minutes of a forty-five minute piece. The first part of the excerpt uses original recordings of radio signals. The end is purely acoustic, echoing the noise and distortion of the jamming process with extended techniques. I originally planned to write a “tape” piece for string quartet accompanied by recordings of jammed radio signals from World War II. After meeting with the JACK Quartet and working together to interpret these surreal wartime signals, I chose to focus on the quartet’s mastery of extended techniques to evoke the elusive, transformative nature of the jamming process. It was far more compelling to recreate the sonic spoils of disruption and distortion using the human element and acoustic means. The members of JACK were active collaborators, and we developed the piece together, using subtones, stratosperic upper partials, double harmonics, imperfect repeats, and many other unorthodox techniques to produce unstable sounds that evoke radio distortion, oscillating tones, and noise. The recordings of jammed radio signals are still critical to the piece, but have been layered and edited to function as an intermittent interruption (as they did originally) and as a reference and reminder of a very odd form of audio warfare. Radio also has an influence on the structure of the piece. Music, speech, noise, and a variety of themes come and go, as if different frequencies are drifting in and out of range to a listener. Musical materials (in the form of shifting melodic figures as well as abstract extended techniques) recur and replicate, just as jamming signals might repeatedly interrupt a changing radio broadcast. Thanks to the JACK Quartet, Jim Staley and Roulette, NYSCA, who commissioned this work, and thanks as well to the American Academy in Berlin, where I began my research on the subject in 2012, and to the Agosto Foundation (Prague) and Robert Wilson’s “Watermill Center” (Long Island) where I composed the piece during residencies earlier this year. Special thanks to Roger Kleier who endured months of jammed radio noise at home.
Views: 428 Annie Gosfield
Nate Silver: "The Signal and the Noise" | Talks at Google
 
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In the 2012 presidential election, Silver correctly predicted the winner of all 50 states and the District of Columbia. Between his electoral and popular vote predictions, he was by some measures the most successful major forecaster of the presidential election. Silver's predictions of U.S. Senate races were correct in 31 of 33 states; he predicted Republican victory in North Dakota and Montana, where Democrats won. --Wikipedia Nate Silver joins Hal Varian (Google's Chief Economist) to talk about his book "The Signal and the Noise: Why So Many Predictions Fail-but Some Don't" and answer Googler questions.
Views: 68565 Talks at Google
The qualitative difference between stationary and non-stationary AR(1)
 
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This video explains the qualitative difference between stationary and non-stationary AR(1) processes, and provides a simulation at the end in Matlab/Octave to demonstrate the difference. clear; close all; clc; n=10000; % Setting the number of time periods equal to 10000. b=1; rho=1; %This is the coefficient on the lagged part of x x=zeros(n,1); % Initialise the vector x x(1)=0; for i = 2:n x(i)=rho*x(i-1)+b*randn(); end zoom=1.0; FigHandle = figure('Position', [750, 300, 1049*zoom, 895*zoom]); plot(x, 'LineWidth', 1.4) ylabel('X(t)') xlabel('t') I also include the same in R (Courtesy of Jesse Maurais): z = rnorm(1000) gen = function(rho) { x = numeric(length(z)) x[1] = z[1] for (i in 2:length(z)) { x[i] = rho*x[i-1] + z[i] } x } display = function(rho) { x = gen(rho) plot(x, main=as.character(rho)) lines(x) } for (it in 1:100) { display(it/100) Sys.sleep(0.5) } Check out https://ben-lambert.com/econometrics-course-problem-sets-and-data/ for course materials, and information regarding updates on each of the courses. Quite excitingly (for me at least), I am about to publish a whole series of new videos on Bayesian statistics on youtube. See here for information: https://ben-lambert.com/bayesian/ Accompanying this series, there will be a book: https://www.amazon.co.uk/gp/product/1473916364/ref=pe_3140701_247401851_em_1p_0_ti
Views: 145870 Ben Lambert
Power Spectral Density Computations - (Fall 2013, EE504, Exam 1 Problem 1)
 
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Performs a variety of computations related to the power spectral density (PSD) and autocorrelation function of a signal x(t). Problem 1 from the Fall 2013 EE504 exam.
Views: 58060 Adam Panagos
Why is my HDMI signal dropping out?
 
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The #HowToAV team take a look at some simple fixes if your HDMI signal is dropping out or isn't displaying on your AV system. A few options to try for yourself to get the HDMI connection working include: - Is there a loose connection on either the Source or Display end of the HDMI cable? Try disconnecting and reconnecting the cable at each end. - Check the obvious! Is the Source device (eg. DVD / BluRay player) switched on? - Try changing HDMI channels on your display - there may be an issue with either the EDID or HDCP 'handshake'. - Is the HDMI cable itself faulty? Try an alternative HDMI cable. - Try altering the resolution - the display device may not be capable of supporting the resolution the Source is trying to deliver. - If the HDMI cable distance is longer than 10 metres, the it may be worth considering a HDMI Repeater or Cat5e Extender kit. Find out even more information on HDMI (High Definition Multimedia Interface) via the HowToAV HDMI 'superblog' here: http://www.cie-group.com/blog/3/hdmi-signal-distribution?page=1 #howtoav If you have a question for the HowToAV team, send us a tweet at https://twitter.com/HowToAV or leave us a message in the Comments section below... Where to Buy: http://www.cie-group.com/
Views: 175577 HowToAV.tv
Traffic Noise in India
 
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Filmed in Bangalore on Tumkur Road which leads out of Bangalore towards Bombay - described by my rickshaw driver as 'Bombay Road' Traffic noise can cause serious and permanent hearing damage, interfere with communication, disturb sleep, cause cardiovascular and psycho-physiological effects and provoke annoyance responses and other changes in social behaviour. Noise can adversely affect performance, attentiveness, problem solving and memory. Impaired performance leads to a higher risk of accidents. Prolonged or excessive exposure to noise, whether in the community or at work, can cause permanent medical conditions, such as hypertension, ischaemic heart disease and inner ear damage causing deafness. "Hearing impairment can impose a heavy social and economic burden on individuals, families, communities and countries. Hearing impairment in children may delay development of language and cognitive skills, which may hinder progress in school. In adults, hearing impairment often makes it difficult to obtain, perform, and keep jobs. Hearing impaired children and adults are often stigmatized and socially isolated." http://www.who.int/mediacentre/factsheets/fs300/en/ Noise above 80 dB can increase aggressive behaviour. There is a link between community noise and mental health problems, suggested by a high demand for tranquillizers and sleeping pills,higher incidences of psychiatric symptoms and the number of admissions to mental hospitals.
Views: 1305519 TrafficNoiseDanger
5 Strangest Radio Stations & Most Mysterious Transmissions
 
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From an unexplained Russian radio station playing strange sounds, to the infamous Yosemite Sam broadcast... Here are five eerie radio stations and transmissions from around the world! ____________________________________________________________________ Don't forget to follow TOP5s on Social Media to keep up with upcoming videos, articles and new information! ►► https://twitter.com/TheTop5s ►►https://www.facebook.com/TheOfficialTop5s/ Special Thank you to CO.AG for the music as usual! If you are looking for music for any video production, games, movies etc. He is the man to speak to so check out his channel or send him a personal message! https://www.youtube.com/channel/UCcavSftXHgxLBWwLDm_bNvA Thanks for watching! Top5s
Views: 969722 Top5s