代码搜索：Generates
找到约 10,000 项符合「Generates」的源代码
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www.eeworm.com/read/466697/7031519
m surrogates.m
function z = ...
surrogates(y,method,n,window,shift)
% z=surrogates(y,method,n,window,shift) generate surrogate data
%
% generates n surrogates data sets from (the vector) y according to the
% m
www.eeworm.com/read/152244/7139245
m cpole2t.m
function y = cpole2t(cp,res,t)
% Performs inverse Laplace transform for two complex
% conjugate poles and generates a time function.
%Inputs: cp - complex pole, having POSITIVE imagin
www.eeworm.com/read/152244/7139260
m cpole2k.m
function y = cpole2k(cp,res,dtime)
% Performs inverse z transform for two complex
% conjugate poles and generates a discrete-time
% function.
%Inputs: cp - complex pole, havin
www.eeworm.com/read/201151/7149352
m sample_gaussian.m
function x = sample_gaussian(mu, covar, nsamp)
%GSAMP Sample from a Gaussian distribution.
%
% Description
%
% X = GSAMP(MU, COVAR, NSAMP) generates a sample of size NSAMP from a
% D-dimensional
www.eeworm.com/read/463748/7175965
m bdt_f531.m
% MATLAB script that generates the probability of error versus the signal-to-noise ratio.
initial_snr=0;
final_snr=12;
snr_step=0.75;
tolerance=eps; % tolerance used for the integration
www.eeworm.com/read/463748/7176121
m ss_mlsrs.m
function [seq]=ss_mlsrs(connections);
% [seq]=ss_mlsrs(connections)
% SS_MLSRS generates the maximal length shift-register sequence when the
% shift-register connections are given as input to
www.eeworm.com/read/462323/7202783
m ss_mlsrs.m
function [seq]=ss_mlsrs(connections);
% [seq]=ss_mlsrs(connections)
% SS_MLSRS generates the maximal length shift-register sequence when the
% shift-register connections are given as input to
www.eeworm.com/read/459805/7264434
pmc panel_01.pmc
//
// File: sncpanel.plc - Main IO for SODICK NC Panel.
//
// This PLC program generates an interrupt (via EQUx) on the PC bus
// each time an input bit changes states. DPRAM is used to alte
www.eeworm.com/read/459223/7278405
m figure1.m
% This MATLAB file generates figure 1 in the paper by
% Izhikevich E.M. (2004)
% Which Model to Use For Cortical Spiking Neurons?
% use MATLAB R13 or later. November 2003. Sa
www.eeworm.com/read/458661/7291939
m upulse.m
% upulse.m - generates trapezoidal, rectangular, triangular pulses, or a unit-step
%
% Usage: y = upulse(t,td,tr,tf) (trapezoidal pulse)
% y = upulse(t,0, tr,tf) (triangular pulse)