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/309192/6342028
m qrrls2.m
%QRRLS2 Problem 1.1.1.2.8
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% a1 - coefficient of input AR process
% sigmax - standard d
www.eeworm.com/read/309192/6342031
m rls3.m
%RLS3 Problem 1.1.1.2.3
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% a1 - coefficient of input AR process
% sigmax - standard dev
www.eeworm.com/read/309192/6342033
m vrls.m
%VRLS Volterra 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/309192/6342036
m rls1.m
%RLS1 Problem 1.1.1.1.1.2
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% sigmax - standard deviation of input
% Wo - coefficient ve
www.eeworm.com/read/309192/6342041
m rls4.m
%RLS4 Problem 1.1.2.2
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% sigmax - standard deviation of input
% lambdaW, sigmaW - param
www.eeworm.com/read/309192/6342042
m rbf.m
%RBF Radial Basis Function algorithm
%
% 'ifile.mat' - input file containing:
% Nr - members of ensemble
% dim - iterations
% Nneur - number of neurons
% Sx - standard deviation
www.eeworm.com/read/309192/6342043
m lms5.m
%LMS5 Problem 2.1
%
% 'ifile.mat' - input file containing:
% K - iterations
% H - FIR channel
% Neq - equalizer order
% sigman - standard deviation of noise at channel ou
www.eeworm.com/read/309192/6342045
m sfrls2.m
%SFRLS2 Problem 1.1.1.2.7
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% a1 - coefficient of input AR process
% sigmax - standard d
www.eeworm.com/read/386623/6343238
m strong.m
function Si = strong(i,V,level)
% Determine the set of strong connections
% strong(I,V,level) returns the (sorted) set of strong connections
% of node I from the remaining set of free nodes V
% w
www.eeworm.com/read/493456/6393552
m latcfilt.m
function [y] = latcfilt(K,x)
% LATTICE form realization of FIR filters
% ---------------------------------------
% y = latcfilt(K,x)
% y = output sequence
% K = LATTICE filter (reflection) co