代码搜索：coefficient
找到约 3,200 项符合「coefficient」的源代码
代码结果 3,200
www.eeworm.com/read/316943/13514081
m dominantpass.m
function [D,X,sublist] = dominantpass(X,threshold,sublist)
% Dominant pass function
D=[];
global N;
[m,n]=size(X);
% X is the coefficients matrix
R=zeros(m); % matrix R is a reference
www.eeworm.com/read/315751/13536810
m nfig.m
% nfig.m - noise figure of two-port
%
% Usage: F = nfig(Fmin, rn, gGopt, gG);
%
% Fmin = minimum noise figure in dB
% rn = normalized noise resistance Rn/Z0
% gGopt = optimum source reflecti
www.eeworm.com/read/315456/13542250
m pppp.m
%calculate RCF coefficient
%我共享一下原来用MATLAB里面自己写的求平方根升余弦滤波器系数的程序。
clear
clc
alpha=0.4;
fs=409600;
fb=fs/4;
Ts=1/fs;
Tb=1/fb;
M=fs/fb;
W=6;
N=M*W+1;
L=(N-1)/2;
for n=1:1:N
nT=(n-1-L)*Ts/
www.eeworm.com/read/315013/13553877
m chap9_5i.m
%Three Loop of Flight Simulator Servo System with Direct Current Motor
clear all;
close all;
%(1)Current loop
L=0.001; %L
www.eeworm.com/read/310212/13655050
m corr2.m
function r = corr2(a,b)
%CORR2 Compute 2-D correlation coefficient.
% R = CORR2(A,B) computes the correlation coefficient between A
% and B, where A and B are matrices or vectors of the same si
www.eeworm.com/read/309190/13679376
m lms1.m
%LMS1 Problem 1.1.1.1.1.1
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% sigmax - standard deviation of input
% Wo - coefficient ve
www.eeworm.com/read/309190/13679378
m brls.m
%BRLS Bilinear RLS algorithm
%
% 'ifile.mat' - input file containing:
% Nr - members of ensemble
% dim - iterations
% Sx - standard deviation of input
% Sn - standard deviation
www.eeworm.com/read/309190/13679379
m lms2.m
%LMS2 Problem 1.1.1.1.2.1
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% sigmax - standard deviation of input
% Wo - coefficient ve
www.eeworm.com/read/309190/13679381
m crbf.m
%CRBF Complex Radial Basis Function algorithm
%
% 'ifile.mat' - input file containing:
% Nr - members of ensemble
% dim - iterations
% Nneur - number of neurons
% Sx - standard
www.eeworm.com/read/309190/13679384
m lms4.m
%LMS4 Problem 1.1.2.1
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% sigmax - standard deviation of input
% lambdaW, sigmaW - param