Quantization Error Matlab Example
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Quantization Error Using Matlab
Fixed-Point Designer Functions errmean On this page Syntax Description Examples See Also errmeanMean of quantization error Syntaxm = errmean(q)
Descriptionm = errmean(q) returns the mean of
Matlab Quantizer
a uniformly distributed random quantization error that arises from quantizing a signal by quantizer object q. Note The results are not exact when the signal precision is close to the precision of the quantizer.ExamplesFind m, the mean of the quantization error for quantizer q:q = quantizer; m = errmean(q) m quantization error formula = -1.525878906250000e-005 Now compare m to m_est, the sample mean from a Monte Carlo experiment:r = realmax(q); u = 2*r*rand(1000,1)-r; % Original signal y = quantize(q,u); % Quantized signal e = y - u; % Error m_est = mean(e) % Estimate of the error mean m_est = -1.519507450175317e-005See Alsoerrpdf | errvar | quantize Was this topic helpful? × Select Your Country Choose your country to get translated content where available and see local events and offers. Based on your location, we recommend that you select: . You can also select a location from the following list: Americas Canada (English) United States (English) Europe Belgium (English) Denmark (English) Deutschland (Deutsch) España (Español) Finland (English) France (Français) Ireland (English) Italia (Italiano) Luxembourg (English) Netherlands (English) Norway (English) Österreich (Deutsch) Portugal (English) Sweden (English) Switzerland Deutsch Français United Kingdom (English) Asia Pacific Australia (English) India (English) New Zealand (English) 中国 (简体中文)
you. There are several short exercises. To do: Complete the following tasks. 1. Delayed Sample Function. A unit sample sequence d[n] of length N can be generated
Quantization In Matlab Code
using the MATLAB command d=[1 zeros(1,N-1)];Write a similar function for a delayed sample sequence quantization error definition dm[n] which is delayed by M samples. For N=8, M=4, make a figure with two subplots that shows d and dm, sqnr like the one shown below. Make sure the graphs are labeled and the axes are scaled as shown in the figure. Note that n=1 is taken as the origin, since MATLAB can't handle array indices https://www.mathworks.com/help/fixedpoint/ref/errmean.html equal to zero. 2. More simple functions. Create a simple m-file that creates a unit sample, unit step, and unit ramp function for a sequence of length 10. Use a for loop to generate the ramp sequence. Then plot them all on the same axes with a stem plot. Add a legend. The final result should be as shown below. Note that n=1 is taken as the origin, http://www.swarthmore.edu/NatSci/echeeve1/Class/e71/E71L1/E71L1.html since MATLAB can't handle array indices equal to zero. Note that the legend command for a stem plot is given as: legend('sample','step','ramp') 3. Even More of the Same Use the sawtooth and square functions in Matlab to generate the two sequences shown and plot them using stem. I input data specified by the user are are the length of the sequence (L), the peak value (A), and the period (N). Use A=8, L=30, N=11, and Fs=10kHz. 4. Aliasing On one graph plot three sinusoids with frequencies of 3 Hz, 7 Hz and 13 Hz. Also plot the three stem plots that correspond to the three signals sampled at 10 Hz. Qualitatively and quantitatively explain your results using the sampling theorem. You might want to use doc plot to see how to plot several functions with different line styles. 5. Quantization (rounding) In practice the sampling process also involves "quantization" in which the signal being sampled is assigned a discrete value so it can be used inside a computer. The quantization process is often modeled as a "quantization noise" being added to a signal. In the diagram below the quantization noise is labeled "e[n]." When a signal is digitized, quantization errors occur. This is demonstrated below wher
Quantization Error Barry Van Veen SubscribeSubscribedUnsubscribe10,60110K Loading... Loading... Working... Add to Want to watch this again later? Sign in to add this https://www.youtube.com/watch?v=RxHNQLLsnVc video to a playlist. Sign in Share More Report Need to report the video? Sign in to report inappropriate content. Sign in Transcript Statistics 9,159 views 45 Like this video? Sign in to make your opinion count. Sign in 46 1 Don't like this video? Sign in to make your opinion count. quantization error Sign in 2 Loading... Loading... Transcript The interactive transcript could not be loaded. Loading... Loading... Rating is available when the video has been rented. This feature is not available right now. Please try again later. Published on Dec 31, 2012http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB quantization error matlab and data files.Modeling quantization error as uncorrelated noise. Signal to quantization noise ratio as a function of the number of bits used to represent the signal. Category Education License Standard YouTube License Show more Show less Loading... Advertisement Autoplay When autoplay is enabled, a suggested video will automatically play next. Up next DSP Lecture 23: Introduction to quantization - Duration: 1:03:51. Rich Radke 8,100 views 1:03:51 Quantization and Coding in A/D Conversion - Duration: 8:31. Barry Van Veen 10,595 views 8:31 signal to quantization noise ratio derivation - Duration: 18:44. Signals Systems 557 views 18:44 QUANTIZER - Duration: 9:06. GATE ACHIEVERS 1,616 views 9:06 Quantization Part 2: Quantization Understanding - Duration: 4:08. Madhan Mohan 15,150 views 4:08 Digital Audio 102 - PCM, Bit-Rate, Quantisation, Dithering, Nyquists Sampling Theorum - PB15 - Duration: 6:06. Production Bytes 61,615 views 6:06 Quantization Part 1: What is quantization - Duration: 4:03. Madhan Mohan 27,677 views 4:03 Signal-to
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