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/304001/13804998
m coeff.m
%1000Hz Butterworth lowpass filter
global butt_1000ord; %order
global butt_1000num; %numerator coefficient,descend order
global butt_1000den; %denumerator coefficient,descend order
%fiv
www.eeworm.com/read/304001/13805023
asv coeff.asv
%1000Hz Butterworth lowpass filter
global butt_1000ord; %order
global butt_1000num; %numerator coefficient,descend order
global butt_1000den; %denumerator coefficient,descend order
%fiv
www.eeworm.com/read/304001/13805048
m d_k1.m
%compute the No.1 reflection coefficient
function k=d_k1(p)
k=-p(10);
for n=1:9
j=11-n;
for i=1:j-1
pp(i)=(p(i)-k*p(j-i))/(1-k^2); %overflow
end
p=pp;
k=-p(j-1);
end
www.eeworm.com/read/303512/13813875
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/303073/13822339
m chap9_2f.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/302326/13837626
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/302326/13837628
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/302326/13837630
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/302326/13837632
m sfrls3.m
%SFRLS3 Problem 2.3
%
% 'ifile.mat' - input file containing:
% K - iterations
% H - FIR channel
% Neq - equalizer order
% sigman - standard deviation of measurement noise
www.eeworm.com/read/302326/13837635
m vlms.m
%VLMS Volterra LMS algorithm
%
% 'ifile.mat' - input file containing:
% Nr - members of ensemble
% dim - iterations
% Sx - standard deviation of input
% Sn - standard deviation