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/145704/12706787
m fir_len_1.m
% fir_len_1.m
% Calculating FIR coefficients for different coefficient lengths
Fs = 48000; % Sampling frequency
FN = Fs/2; % Nyquist frequency
Fc = 2000/FN; % Cutoff
www.eeworm.com/read/144399/12797425
m lupiv.m
function [L,U,pv] = luPiv(A,ptol)
% luPiv LU factorization with partial pivoting
%
% Synopsis: [L,U,pv] = luPiv(A)
% [L,U,pv] = luPiv(A,ptol)
%
% Input: A = coefficient matri
www.eeworm.com/read/309190/13679372
m afqrrls2.m
%AFQRRLS2 Problem 1.1.1.2.10
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% a1 - coefficient of input AR process
% sigmax - standar
www.eeworm.com/read/309190/13679374
m fqrrls2.m
%FQRRLS2 Problem 1.1.1.2.9
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% a1 - coefficient of input AR process
% sigmax - standard
www.eeworm.com/read/309190/13679382
m eflrls2.m
%EFLRLS2 Problem 1.1.1.2.6
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% a1 - coefficient of input AR process
% sigmax - standard
www.eeworm.com/read/303772/13809551
m phaselock.m
function cout = phaselock(cin,a)
%PHASELOCK Phaselock Gabor coefficients
% Usage: c=phaselock(c,a);
%
% PHASELOCK(c,a) phaselocks the Gabor coefficients c. The coefficient must
% have been obt
www.eeworm.com/read/302326/13837621
m afqrrls2.m
%AFQRRLS2 Problem 1.1.1.2.10
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% a1 - coefficient of input AR process
% sigmax - standar
www.eeworm.com/read/302326/13837624
m fqrrls2.m
%FQRRLS2 Problem 1.1.1.2.9
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% a1 - coefficient of input AR process
% sigmax - standard
www.eeworm.com/read/302326/13837647
m eflrls2.m
%EFLRLS2 Problem 1.1.1.2.6
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% a1 - coefficient of input AR process
% sigmax - standard
www.eeworm.com/read/147682/5728105
m asptlclms.m
% [w,y,e]= asptlclms(x,w,d,mu,c,a)
%
% Performs filtering and coefficient update using the
% Linearly Constrained LMS adaptive algorithm,
% subject to the constraint c' * w = a.
%
% In