代码搜索：Sampling

找到约 3,969 项符合「Sampling」的源代码

代码结果 3,969
热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/172406/5387268

h voice_drv.h

/*H************************************************************************** * NAME: voice_drv.h *---------------------------------------------------------------------------- * Copyright (
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www.eeworm.com/read/167139/5466198

h voice_drv.h

/*H************************************************************************** * NAME: voice_drv.h *---------------------------------------------------------------------------- * Copyright (
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www.eeworm.com/read/153744/5645223

h voice_drv.h

/*H************************************************************************** * NAME: voice_drv.h *---------------------------------------------------------------------------- * Copyright (
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www.eeworm.com/read/235660/14057866

h voice_drv.h

/*H************************************************************************** * NAME: voice_drv.h *---------------------------------------------------------------------------- * Copyright (
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www.eeworm.com/read/103693/15725706

h voice_drv.h

/*H************************************************************************** * NAME: voice_drv.h *---------------------------------------------------------------------------- * Copyright (
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www.eeworm.com/read/448019/7541839

m jakesmodel.m

%%%%% Jakes Model %%%%% function [model,time]=JakesModel(p,Fd,T) %%% fd : Max Doppler shift %%% T : Sampling interval %%% num : Sampling Point %%% P
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www.eeworm.com/read/438438/7731176

txt list.5.txt

while(1) { unsigned long i; //Sampling Sampling(Samples); //Multiplying by window's factors if(WinType==wtHanning) Hanning(Samples); else if(WinType==wtHamming) Hammin
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cpp autosample3d.cpp

// AutoSample3D.cpp: implementation of the RxAutoSample3D class. // ////////////////////////////////////////////////////////////////////// // // Title: Automatic Sampling // // 1. Random sampling // 2
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www.eeworm.com/read/335714/12502645

m ip_7_11.m

echo on ts=1/80; % sampling interval fc=50; % carrier frequency fs=1/ts; % sampling frequency T=2; t=[0:ts:
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www.eeworm.com/read/361765/10036972

cc mcmchierei.cc

// fits Wakefield's hierarchical model for ecological inference using // Wakefield's normal approximation to the binomial convolution likelihood // and slice sampling and Gibbs sampling to sample from
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