代码搜索：containing
找到约 10,000 项符合「containing」的源代码
代码结果 10,000
www.eeworm.com/read/160223/10555288
m casfiltr.m
function y = casfiltr(b0,B,A,x);
% CASCADE form realization of IIR and FIR filters
% -----------------------------------------------
% y = casfiltr(b0,B,A,x);
% y = output sequence
% b0 = gain coeffi
www.eeworm.com/read/159601/10636721
m fil.m
function [out]=fil(in,f);
%
% Filters the data using a first order filter
%
% [out]=fil(in,f);
%
% f is a vector containing the filter constants
%
% Updated to use MATLAB's built in filter rou
www.eeworm.com/read/422076/10665952
m make_rp.m
% This file makes the structure containing the run
% parameters used for the Adpative Equalization experiment
rp.Nruns = 200;
rp.var_v = 0.001;
rp.decay = 0;
rp.p = 11;
www.eeworm.com/read/158750/10731426
m casfiltr.m
function y = casfiltr(b0,B,A,x);
% CASCADE form realization of IIR and FIR filters
% -----------------------------------------------
% y = casfiltr(b0,B,A,x);
% y = output sequence
% b0 = gain coeffi
www.eeworm.com/read/276402/10741704
m cp0901_muiber_2pam.m
%
% Function 9.4 : "cp0901_MUIBER_2PAM"
%
% Evaluates the theoretical probability of error
% for a 2PAM system in AWGN channels under the
% Standard Gaussian Approximation
%
% 'ebn0' is a v
www.eeworm.com/read/276402/10741797
m cp0901_muiber_2pam.m
%
% Function 9.4 : "cp0901_MUIBER_2PAM"
%
% Evaluates the theoretical probability of error
% for a 2PAM system in AWGN channels under the
% Standard Gaussian Approximation
%
% 'ebn0' is a v
www.eeworm.com/read/350134/10763443
htm websgetrequestdir.htm
websGetRequestDir -- GoAhead WebServer API
www.eeworm.com/read/349916/10783406
m fil.m
function [out]=fil(in,f);
%
% Filters the data using a first order filter
%
% [out]=fil(in,f);
%
% f is a vector containing the filter constants
%
% Updated to use MATLAB's built in filter rou
www.eeworm.com/read/420605/10787058
h icq7settings.h
/*
* ============================================================================
* File name: Icq7Settings.h
* Part of : Icq7
* Created : 09.06.2006 by Maksim Nazarenko
* Description:
*
www.eeworm.com/read/419623/10853250
m ekfm.m
function [xhat_data,Pmat]=ekfm(kalmfilex,kalmfiley,linfile,xbar,...
P0,q,r,u,y,timeidx,optpar)
% EKFM
% This function is an implementation of the conventional
% extended Kalman filte