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]::
%