代码搜索：corresponding
找到约 4,250 项符合「corresponding」的源代码
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www.eeworm.com/read/119233/14836612
java tablepanel.java
/* TablePanel.java */
import java.awt.*;
import java.applet.*;
import java.io.*;
import java.util.*;
/**
* This class creates a panel with a table canvas and a vertical scrollbar
* to the east of
www.eeworm.com/read/220289/14843749
m netinit.m
function net = netinit(net, prior)
%NETINIT Initialise the weights in a network.
%
% Description
%
% NET = NETINIT(NET, PRIOR) takes a network data structure NET and sets
% the weights and biases by s
www.eeworm.com/read/220289/14843794
m netunpak.m
function net = netunpak(net, w)
%NETUNPAK Separates weights vector into weight and bias matrices.
%
% Description
% NET = NETUNPAK(NET, W) takes an net network data structure NET and a
% weight vect
www.eeworm.com/read/220289/14843899
m mlpprior.m
function prior = mlpprior(nin, nhidden, nout, aw1, ab1, aw2, ab2)
%MLPPRIOR Create Gaussian prior for mlp.
%
% Description
% PRIOR = MLPPRIOR(NIN, NHIDDEN, NOUT, AW1, AB1, AW2, AB2) generates a
% dat
www.eeworm.com/read/219755/14864915
java tablepanel.java
/* TablePanel.java */
import java.awt.*;
import java.applet.*;
import java.io.*;
import java.util.*;
/**
* This class creates a panel with a table canvas and a vertical scrollbar
* to the east of
www.eeworm.com/read/218840/14904490
m d_tder.m
%D_TDER HOSA Demo: Time-delay estimation using cross-correlation (tder)
%
echo off
% A. Swami Oct 18, 1997.
% Copyright (c) 1991-2001 by United Signals & Systems, Inc.
% $Revision
www.eeworm.com/read/218840/14904517
m d_tde.m
%D_TDE HOSA Demo: Time Delay Estimation using cross-cumulant method (tde)
echo off
% A. Swami April 15, 1993
% Copyright (c) 1991-2001 by United Signals & Systems, Inc.
% $Revision: 1.7
www.eeworm.com/read/218613/14912947
m example1.m
% example1 Example script for demonstrating the use of QUBIT4MATLAB.
% Copyright (C) 2005 Geza Toth E.mail: toth@alumni.nd.edu
%
% This program is free software; you can redistribute it an
www.eeworm.com/read/217691/14953343
m findbin.m
function bin = findbin(N, rate, freq)
% bin = findbin(N, rate, freq)
% find the bin in an FFT corresponding to a given
% frequency
% N is the length of the data
% the sampling rate (samples/sec) of th
www.eeworm.com/read/213940/15121992
m analytic.m
function z=analytic(x)
% z=analytic(x)
%ANALYTIC Returns the analytic signal corresponding to signal x.
%
z=hilbert(x);