Probability Density Function Of Quantization Error - Matlab
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Quantization Error Matlab Code
Product Updates Documentation Home Fixed-Point Designer Examples Functions and Other plot quantization error matlab Reference Release Notes PDF Documentation Fixed-Point Design for MATLAB Code Fixed-Point Functions Math Statistics Fixed-Point quantization error formula Designer Functions errpdf On this page Syntax Description Examples Compute the PDF of the quantization error See Also errpdfProbability density function of quantization errorcollapse all
Quantization Error Definition
in page Syntax[f,x] = errpdf(q)
f = errpdf(q,x)
Description[f,x] = errpdf(q) returns the probability density function f evaluated at the values in x. The vector x contains the uniformly distributed random quantization errors that arise from quantizing a signal by quantizer object q. f = errpdf(q,x) returns the probability density function f evaluated
Matlab Code For Quantization Of Sine Wave
at the values in vector x. Note The results are not exact when the signal precision is close to the precision of the quantizer.Examplescollapse allCompute the PDF of the quantization errorOpen Script q = quantizer('nearest',[4 3]); [f,x] = errpdf(q); subplot(211) plot(x,f) title('Computed PDF of the quantization error.') The output plot shows the probability density function of the quantization error. Compare this result to a plot of the sample probability density function from a Monte Carlo experiment: r = realmax(q); u = 2*r*rand(10000,1)-r; % Original signal y = quantize(q,u); % Quantized signal e = y - u; % Error subplot(212) hist(e,20) gca.xlim = [min(x) max(x)]; title('Estimate of the PDF of the quantization error.') See Alsoerrmean | errvar | quantize × MATLAB Command You clicked a link that corresponds to this MATLAB command: Run the command by entering it in the MATLAB Command Window. Web browsers do not support MATLAB commands. Close Wa
εμάς.Μάθετε περισσότερα Το κατάλαβαΟ λογαριασμός μουΑναζήτησηΧάρτεςYouTubePlayΕιδήσειςGmailDriveΗμερολόγιοGoogle+ΜετάφρασηΦωτογραφίεςΠερισσότεραΈγγραφαBloggerΕπαφέςHangoutsΑκόμη περισσότερα από την GoogleΕίσοδοςΚρυφά πεδίαΒιβλίαbooks.google.gr - Digital Speech Processing Using Matlab matlab quantizer deals with digital speech pattern recognition, speech production
Quantization Error Example
model, speech feature extraction, and speech compression. The book is written quantization in matlab code in a manner that is suitable for beginners pursuing basic research in digital speech processing. Matlab illustrations are...https://books.google.gr/books/about/Digital_Speech_Processing_Using_Matlab.html?hl=el&id=fEm3BAAAQBAJ&utm_source=gb-gplus-shareDigital Speech http://www.mathworks.com/help/fixedpoint/ref/errpdf.html Processing Using MatlabΗ βιβλιοθήκη μουΒοήθειαΣύνθετη Αναζήτηση ΒιβλίωνΑγορά eBook - 72,46 €Λήψη αυτού του βιβλίου σε έντυπη μορφήSpringer ShopΕλευθερουδάκηςΠαπασωτηρίουΕύρεση σε κάποια βιβλιοθήκηΌλοι οι πωλητές»Digital Speech Processing Using MatlabE. S. GopiSpringer Science & Business Media, 3 Δεκ 2013 - 182 σελίδες 0 https://books.google.gr/books?id=fEm3BAAAQBAJ&pg=PA136&lpg=PA136&dq=probability+density+function+of+quantization+error+-+matlab&source=bl&ots=oW00GuG2H6&sig=u_rCgJ9yKxDKwW4KrtaHUazLfD8&hl=en&sa=X&ved=0ahUKEwjX3uWRyujPAh Κριτικέςhttps://books.google.gr/books/about/Digital_Speech_Processing_Using_Matlab.html?hl=el&id=fEm3BAAAQBAJDigital Speech Processing Using Matlab deals with digital speech pattern recognition, speech production model, speech feature extraction, and speech compression. The book is written in a manner that is suitable for beginners pursuing basic research in digital speech processing. Matlab illustrations are provided for most topics to enable better understanding of concepts. This book also deals with the basic pattern recognition techniques (illustrated with speech signals using Matlab) such as PCA, LDA, ICA, SVM, HMM, GMM, BPN, and KSOM. Προεπισκόπηση αυτού του βιβλίου » Τι λένε οι χρήστες-Σύνταξη κριτικήςΔεν εντοπίσαμε κριτικές στις συνήθεις τοποθεσίες.Επιλεγμένες σελίδεςΣελίδα ΤίτλουΠίνακας περιεχομένωνΕυρετήριοΠεριεχόμενα1 Pattern Recognition for Speech Detection1 2 Speech Production Model73 3 Feature Extraction of the Speech Sign
Support Support Newsreader MathWorks Search MathWorks.com MathWorks Newsreader Support MATLAB Newsgroup MATLAB Central Community Home MATLAB Answers File Exchange Cody Blogs Newsreader Link Exchange ThingSpeak Anniversary Home http://www.mathworks.gr/matlabcentral/newsreader/view_thread/291814 Post A New Message Advanced Search Help MATLAB Central Community Home MATLAB Answers File Exchange Cody Blogs Newsreader Link Exchange ThingSpeak Anniversary Home Post A New Message Advanced Search Help Trial software multiple peaks in the plot of probability density function Subject: multiple peaks in the plot of probability density function From: kumar vishwajeet kumar vishwajeet (view profile) 53 posts Date: quantization error 18 Sep, 2010 04:25:05 Message: 1 of 6 Reply to this message Add author to My Watch List View original format Flag as spam Hi, I am trying to approximate a non-Gaussian pdf for the states of a sysytem of order 3 with the sum of 2 gaussian pdfs. When I plot the new approximate marginal pdf against the first two states, quantization error matlab I see multiple peaks in the plot though the plot, overall, looks like a normal curve. But there are some zig-zags that make the curve rough rather than smooth. What could be the possible reason. Subject: multiple peaks in the plot of probability density function From: ImageAnalyst Date: 18 Sep, 2010 12:30:51 Message: 2 of 6 Reply to this message Add author to My Watch List View original format Flag as spam Where's your sample code, or plot of it that you've uploaded somewhere? Possible reason may be quantization error? Tough to say without a picture. Subject: multiple peaks in the plot of probability density function From: kumar vishwajeet kumar vishwajeet (view profile) 53 posts Date: 19 Sep, 2010 05:39:06 Message: 3 of 6 Reply to this message Add author to My Watch List View original format Flag as spam ImageAnalyst
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