Matlab Program For Uniform Quantization Encoding Meaning
For the first two code lines I prefer, Fs = 10; L = 10; t = (0: L - 1) / Fs; x = 0.3 * cos(2 * pi * t); where Fs is sampling frequency, L number of samples and t shows the time. Note that x is sinusoidal with frequency of Fx = 1 Hz or we can say that it's periodic with Tx = 1 sec. For 8-bit quantization we have 256 levels. Since L / Fs = [10 sample] / [10 sample/sec] = 1 sec is equal to Tx (a whole period of x) we can work with positive samples. Mx = max(abs(x)); mx is defined because in order to use floor we need to scale the x. Q256 = mx*(1/128)*floor(128*(x/mx)); mx shows the maximum value for x so x / mx will take values over [-1 1] and 128*x/mx over [-128 128] will cover all 256 levels.
Optional Part II of Final Project for ECE 475 Fall. Program 14 Appendix C Matlab quantization. Number of quantization levels, the mean and. – Sample Matlab codes • Binary encoding – Bit rate of digital signals • Advantage of digital representation ©Yao Wang, 2006 EE3414. Uniform Quantization.
So we will quantize it with floor and scale it back ( mx*1/128). Download Church Management Software on this page. E256 = (1/L)*sum(abs(x-q256)) e256 simply shows the mean error over 10 samples. Note that if L / Fs. Cei 82 25 Terza Edizione Pdf Files.
Kendrick Lamar Good Kid Maad City Download Free more. Description out = compand(in,param,v) implements a µ-law compressor for the input vector in. Mu specifies µ, and v is the input signal's maximum magnitude. Out has the same dimensions and maximum magnitude as in. Out = compand(in,Mu,v,' mu/compressor') is the same as the syntax above. Out = compand(in,Mu,v,' mu/expander') implements a µ-law expander for the input vector in. Mu specifies µ and v is the input signal's maximum magnitude.
Out has the same dimensions and maximum magnitude as in. Out = compand(in,A,v,' A/compressor') implements an A-law compressor for the input vector in. The scalar A is the A-law parameter, and v is the input signal's maximum magnitude.
Out is a vector of the same length and maximum magnitude as in. Out = compand(in,A,v,' A/expander') implements an A-law expander for the input vector in. The scalar A is the A-law parameter, and v is the input signal's maximum magnitude. Out is a vector of the same length and maximum magnitude as in.