代码搜索：Sampling

找到约 3,969 项符合「Sampling」的源代码

代码结果 3,969
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m fftplot.m

function f=fftplot(signal, dt, varargin) % f=fftplot(signal, dt ) % % Plodt the first half of the spectrumtrum of the signal. % % dt is the sampling period. % % minfreq an
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java samplinggrid.java

package jp.sourceforge.qrcode.geom; /** * This class is used for sampling grid * It allows one area to have a different size from another area */ public class SamplingGrid { /** * A gr
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java samplinggrid.java

package jp.sourceforge.qrcode.geom; /** * This class is used for sampling grid * It allows one area to have a different size from another area */ public class SamplingGrid { /** * A gr
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java samplinggrid.java

package jp.sourceforge.qrcode.geom; /** * This class is used for sampling grid * It allows one area to have a different size from another area */ public class SamplingGrid { /** * A gr
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www.eeworm.com/read/429426/1948753

py sample_adult.py

# Description: Read 'adult' data set and select 3% of instances (use stratified sampling) # Category: preprocessing # Uses: adult.tab # Classes: ExampleTable, MakeRandomIndices2 # Re
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m program_11_4.m

% Program 11_10 % Spectral Analysis Using the DFT % N = input('Type in the length of DFT = '); T = input('Type in the sampling period = '); freq = input('Type in the frequency of the sinusoid -=
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java samplinggrid.java

package jp.sourceforge.qrcode.geom; /** * This class is used for sampling grid * It allows one area to have a different size from another area */ public class SamplingGrid { /** * A gr
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tim inputsignal_square1khz.tim

Remark : Square Wave Number of record : 256 Record type number : INTEGER16 Signal frequency : 1000 Hz Sampling rate : 10000 Hz File format : Binary
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tim inputsignal_square1khz_512pt.tim

Remark : Square Wave Number of record : 512 Record type number : INTEGER16 Signal frequency : 1000 Hz Sampling rate : 10000 Hz File format : Binary
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m demprior.m

function demprior(action); %DEMPRIOR Demonstrate sampling from a multi-parameter Gaussian prior. % % Description % This function plots the functions represented by a multi-layer % perceptron netw
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