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/360770/10079221
m graphxy.m
function graphxy (X,Y,caption,xaxis,yaxis,pts)
%----------------------------------------------------------------
% Usage: graphxy (X,Y,caption,xaxis,yaxis,pts)
%
% Description: Graph the col
www.eeworm.com/read/360770/10079230
m dft.m
function y = dft (x,dir)
%----------------------------------------------------------------
% Usage: y = dft (x,dir)
%
% Description: Compute the one-dimensional discrete Fourier
%
www.eeworm.com/read/360770/10079278
m newton.m
function [x,k] = newton (x0,tol,m,f,dm)
%----------------------------------------------------------------------
% Usage: [x,k] = newton (x0,tol,m,f,dm)
%
% Description: Apply Newton's method
www.eeworm.com/read/360770/10079289
m bilin.m
function Z1 = bilin (x,y,Z,x1,y1)
%------------------------------------------------------------------------
% Usage: Z1 = bilin (x,y,Z,x1,y1)
%
% Description: Perform a bilinear interpolatio
www.eeworm.com/read/164683/10095556
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/164272/10120310
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/355622/10253392
cmd ex35_gprs.cmd
*---------------------------------------------------------------
* S+core IDE Command File
*
* Note: Comment line start with '*'(in the first char)
* No
www.eeworm.com/read/280929/10279533
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 c
www.eeworm.com/read/426106/10287098
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/280604/10304624
m manhattan.m
function D = manhattan(X,z,W);
% manhattan : calculate a 1*n vector D containing manhattan distances from z
% to every vector in X
% D = manhattan(X,z,W)
% X - d*n matrix containing the ve