代码搜索:Normalized

找到约 4,216 项符合「Normalized」的源代码

代码结果 4,216
www.eeworm.com/read/358669/10182420

m normalize.m

function [xn] = normalize(x_kk,fc,cc,kc,alpha_c) %normalize % %[xn] = normalize(x_kk,fc,cc,kc,alpha_c) % %Computes the normalized coordinates xn given the pixel coordinates x_kk %and the intri
www.eeworm.com/read/289163/6969305

m c8_2.m

% File: c8_pi4demo.m clear m = 200; bits = 2*m; % number of symbols and bits sps = 10; % samples per symbol iphase = 0; % initial phase order = 5; % filter order bw = 0.2; % normalized filter ba
www.eeworm.com/read/289163/6969310

m c8_pi4demo.m

% File: c8_pi4demo.m clear m = 200; bits = 2*m; % number of symbols and bits sps = 10; % samples per symbol iphase = 0; % initial phase order = 5; % filter order bw = 0.2; % normalized filter ba
www.eeworm.com/read/289163/6969313

m c8_4.m

% File: c8_pi4demo.m clear m = 200; bits = 2*m; % number of symbols and bits sps = 10; % samples per symbol iphase = 0; % initial phase order = 5; % filter order bw = 0.2; % normalized filter ba
www.eeworm.com/read/297325/8029945

m normalize.m

function [xn] = normalize(x_kk,fc,cc,kc,alpha_c) %normalize % %[xn] = normalize(x_kk,fc,cc,kc,alpha_c) % %Computes the normalized coordinates xn given the pixel coordinates x_kk %and the intri
www.eeworm.com/read/145715/12706362

m normalize.m

function [xn] = normalize(x_kk,fc,cc,kc,alpha_c), %normalize % %[xn] = normalize(x_kk,fc,cc,kc,alpha_c) % %Computes the normalized coordinates xn given the pixel coordinates x_kk %and the intr
www.eeworm.com/read/239320/13288054

m p_secant.m

function secant=p_secant(secant,norm_point) % function n_secant=p_secant(secant,norm_point) % INPUT: % secant unnormalized secant % norm_point norm of computed point % OUTPUT: % n_secant normalized
www.eeworm.com/read/303438/13816107

m anaask.m

function [y,am]=anaask(N,Ncomp,f0); %ANAASK Amplitude Shift Keying (ASK) signal. % [Y,AM]=ANAASK(N,NCOMP,F0) returns a complex amplitude % modulated signal of normalized frequency F0, with a uniforml
www.eeworm.com/read/147682/5728107

m init_rdrnlms.m

% [w,x,d,y,e,p]=init_rdrnlms(L,k,w0,x0,d0) % % Creates and initializes the variables required for the % Recent Data Reusing Normalized Least Mean Squares algorithm. % % Input Parameters [
www.eeworm.com/read/147682/5728171

m init_bnlms.m

% [w,x,d,e,y,p]=init_bnlms(N,L,w0,x0,d0) % % Creates and initializes the variables required for the % Block Normalized Least Mean Squares adaptive filter. % % Input Parameters [Size]:: %