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/142092/12963036
m zfapanls.m
function [p,stdp,f,stdf,a,stda]=zfapanls(data,dt)
% The function ZFAPANLS generates a frequency, amplitude and period using a zero-crossing
% method applied to data(n,k), where n specifies the len
www.eeworm.com/read/328976/12991332
m tjt_slam_filter.m
% TJT_SLAM_FILTER - Generates a new SLAM filter structure whose
% belief state is a thin junction tree.
%
% Usage:
%
% f = tjt_slam_filter(m, C, width, overlap[, sig])
%
% I
www.eeworm.com/read/140163/13101381
txt oxcc.txt
OXCC.TXT Version: 1.433 -- preliminary 5 Nov 1995 by Norman D. Culver
OXCC is a multipass interpreting C compiler with numerous language
extensions (see c.grm).
OXCC generates outpu
www.eeworm.com/read/139738/13137071
java timer.java
// PART OF THE MACHINE SIMULATION. DO NOT CHANGE.
package nachos.machine;
import nachos.security.*;
/**
* A hardware timer generates a CPU timer interrupt approximately every 500
* clock ticks. T
www.eeworm.com/read/239351/13285680
java sequencefactoryejb.java
// SequenceFactoryEJB.java
// Entity EJB SequenceFactory generates unique primary keys.
package com.deitel.advjhtp1.bookstore.ejb;
// Java core packages
import java.rmi.RemoteException;
import
www.eeworm.com/read/323949/13306879
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/321050/13412779
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/321050/13412912
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/319331/13455861
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/318008/13490602
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