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jianmo

于 2021-04-18 发布 文件大小:10310KB
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  2013年数学建模B题 功率放大器非线性特性及预失真建模的程序 可以直接测试运行 包含泰勒模型 多项式模型 神经网络模型等(2013 B title mathematical modeling and nonlinear characteristics of the power amplifier pre-distortion modeling program can be run directly test the model includes Taylor polynomial model neural network models)

文件列表:

数学建模
........\9jie.mat,1150208,2013-09-24
........\acprjisuan.asv,1024,2013-09-24
........\acprjisuan.m,1033,2013-09-24
........\acpr_comp.m,734,2010-04-18
........\bptest.m,3872,2013-09-24
........\chapter14.m,3082,2013-09-21
........\chapter14_sh.mat,219976,2010-01-30
........\data_RLS.mat,1150519,2013-09-24
........\differentp.m,1349,2013-09-21
........\d_mymorlet.m,97,2009-04-12
........\FIG_D.m,6456,2009-03-21
........\gonglv.m,883,2013-09-21
........\gonglvpu.asv,2216,2013-09-21
........\gonglvpumidu.asv,6332,2013-09-24
........\gonglvpumidu.m,6375,2013-09-24
........\jiyishuju.mat,3436319,2013-09-23
........\main.m,1334,2011-09-27
........\memorySaleh.m,4835,2010-05-23
........\mybp.asv,1554,2013-09-24
........\mybp.m,1601,2013-09-24
........\mymorlet.m,90,2009-04-12
........\myrbf.m,1076,2013-09-24
........\mysvm.m,1116,2013-09-21
........\my_duoxs.m,1997,2013-09-23
........\my_dxsni.m,2641,2013-09-23
........\OFDM_init.m,1702,2013-09-22
........\pa_in_out_memory.mat,2284756,2013-09-13
........\pa_in_out_memoryless.mat,28796,2013-09-14
........\PA_model.m,321,2003-03-18
........\PD_deal.m,244,2006-05-07
........\PD_model.m,456,2006-05-06
........\Regression.m,2256,2013-09-20
........\saleh.m,1062,2013-09-22
........\sh_8_19.mat,123275,2009-08-21
........\SVMcgForRegress.m,2512,2013-09-21
........\SVMNR.m,4953,2013-09-20
........\SVM_regression.m,1132,2009-08-21
........\traffic_flux.mat,1574,2009-11-26
........\wavenn.m,3724,2013-09-24
........\y.mat,1136132,2013-09-24
........\y4.mat,1149954,2013-09-24
........\yushizhenmoxing.asv,2987,2013-09-24
........\yushizhenmoxing.m,2987,2013-09-24

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    自适应(LMS)算法在噪声抑制中的应用。在仿真中,原始信号选为sin((0.2*pi)*t), 噪声信号采用标准白噪声,延迟D=1,收敛因子分别是u=0.001和u=0.3(Adaptive (LMS) algorithm in noise suppression application. In the simulation, the original signal is selected sin ((0.2* pi)* t), noise signal using the standard white noise, the delay D = 1, respectively, convergence factor u = 0.001 and u = 0.3)
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