代码搜索:Simulate

找到约 2,241 项符合「Simulate」的源代码

代码结果 2,241
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c minigzip.c

/* minigzip.c -- simulate gzip using the zlib compression library * Copyright (C) 1995-2002 Jean-loup Gailly. * For conditions of distribution and use, see copyright notice in zlib.h */ /*
www.eeworm.com/read/162867/10262313

m dsl.m

%DSL Simulate a standard digital subscriber line. % [Y, H, N] = DSL(X, channelName, P, S) returns the received signal % Y (without channel noise), channel impulse response in H, and % channel noise in
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m aadsl.m

%DSL Simulate a standard digital subscriber line. % [Y, H, N] = DSL(X, channelName, P, S) returns the received signal % Y (without channel noise), channel impulse response in H, and % channel noise in
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asv aadsl.asv

%DSL Simulate a standard digital subscriber line. % [Y, H, N] = DSL(X, channelName, P, S) returns the received signal % Y (without channel noise), channel impulse response in H, and % channel noise in
www.eeworm.com/read/162867/10262451

m adsl.m

%DSL Simulate a standard digital subscriber line. % [Y, H, N] = DSL(X, channelName, P, S) returns the received signal % Y (without channel noise), channel impulse response in H, and % channel noise in
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asv adsl.asv

%DSL Simulate a standard digital subscriber line. % [Y, H, N] = DSL(X, channelName, P, S) returns the received signal % Y (without channel noise), channel impulse response in H, and % channel noise in
www.eeworm.com/read/160819/10496128

cpp craps.cpp

#include using namespace std; #include "dice.h" // simulate one games of craps (rules from W. Weaver, Lady Luck, 1982 // Doubleday Press --- as given in Charles Whitney, Random Process in
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dpr ex.dpr

{ Author: Amber Method: Simulate Clarity: The hardness is to understand what the problem means. } program Ural_1364(Input,Output); const MaxSize=100; D:array[0..3]of record X,Y:ShortInt; end=(
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m discretekfex2.m

function [x1Array, xhatArray, KArray] = DiscreteKFEx2(Q) % Simulate a discrete-time Kalman filter with a mismodel condition. % We design the filter under the assumption that we are trying to estim
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m discretekfalt.m

function DiscreteKFAlt % Simulate a discrete-time scalar Kalman filter. tf = 10; % final time F = 1; % state transition matrix H = 1; % measurement matrix Q = 1; % process noise covariance