代码搜索：Simulated
找到约 1,823 项符合「Simulated」的源代码
代码结果 1,823
www.eeworm.com/read/147096/12583953
m kalmdemo.m
echo on
% This file demonstrates MATLAB's ability to do Kalman filtering.
% Both a steady state filter and a time varying filter are designed
% and simulated below.
echo off
% Copyright (c)
www.eeworm.com/read/235522/14065551
cc disk.cc
// disk.cc
// Routines to simulate a physical disk device; reading and writing
// to the disk is simulated as reading and writing to a UNIX file.
// See disk.h for details about the behavior of disks
www.eeworm.com/read/101557/15826502
m kalmdemo.m
echo on
% This file demonstrates MATLAB's ability to do Kalman filtering.
% Both a steady state filter and a time varying filter are designed
% and simulated below.
echo off
% Copyright (c)
www.eeworm.com/read/191902/8417145
m stochastic_sa.m
function [features, targets] = Stochastic_SA(train_features, train_targets, params, region, plot_on)
%Reduce the number of data points using the stochastic simulated annealing algorithm
%Inputs:
www.eeworm.com/read/191902/8417358
m deterministic_sa.m
function [features, targets] = Deterministic_SA(train_features, train_targets, params, region, plot_on)
%Reduce the number of data points using the deterministic simulated annealing algorithm
%Inp
www.eeworm.com/read/187250/8838757
txt readme.txt
simcdma.m allows a set of CDMA parameters to be simulated, such
as BER verse number of users, etc. All the graphs used in the
thesis were generated using this script. The output from this script
is
www.eeworm.com/read/178078/9418710
m fxquant.m
function X = fxquant( s, bit, rmode, lmode )
%FXQUANT simulated fixed-point arithmetic
%-------
% Usage: X = fxquant( S, BIT, RMODE, LMODE )
%
% returns the input signal S reduced t
www.eeworm.com/read/177129/9468825
m stochastic_sa.m
function [features, targets] = Stochastic_SA(train_features, train_targets, params, region, plot_on)
%Reduce the number of data points using the stochastic simulated annealing algorithm
%Inputs:
www.eeworm.com/read/177129/9468979
m deterministic_sa.m
function [features, targets] = Deterministic_SA(train_features, train_targets, params, region, plot_on)
%Reduce the number of data points using the deterministic simulated annealing algorithm
%Inp
www.eeworm.com/read/362152/10015622
m fxquant.m
function X = fxquant( s, bit, rmode, lmode )
%FXQUANT simulated fixed-point arithmetic
%-------
% Usage: X = fxquant( S, BIT, RMODE, LMODE )
%
% returns the input signal S reduced to a w