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rml

于 2006-08-26 发布 文件大小:1KB
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  rml系统辨识源代码.个人珍藏.在matlab环境下应用.(rml system identification code. Personal collections. The application of Matlab environment.)

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  • DLB
    本文件主要内容是以及倒立摆模糊控制,以小车为模型建立的,包含模糊控制规则,S函数,和simulink模型(The main contents of this paper is about the fuzzy control of inverted pendulum, the vehicle model, including fuzzy control rules, the S function, and Simulink model)
    2014-06-01 22:27:11下载
    积分:1
  • cvx-w64
    matlab中的cvx工具包,适用于windows64位系统,在信号的稀疏表示分类领域有很大的用处,网络上有此工具包的安装说明,1要先解压2移动到matlab的一个空文件夹下3打开matlab,将当前路径设置为此文件夹下的cvx文件夹4在命令行窗口输入cvx_setup(matlab in cvx toolkit for windows64 bit systems, in a sparse representation of the signal areas of the classification is very useful, this kit includes installation instructions on the network, first extract the 1 2 to move to an empty file folder under matlab 3 open matlab, the current path is set cvx file folders under this folder 4 in the command line window cvx_setup)
    2020-08-26 16:28:14下载
    积分:1
  • feige
    install code to the document,and replease ,make project
    2007-11-14 10:47:46下载
    积分:1
  • ziliao
    全数字接收机中符号同步的文档,方法实用,容易实现~~(Symbol synchronization in digital receivers documentation, methods, practical and easy to implement ~ ~)
    2010-08-26 20:12:35下载
    积分:1
  • Penalty-Function-Method
    解优化问题时常用的惩罚函数法,分为内点法和外点法两种,求解约束优化问题最优值。(Penalty function method, including interior point method and exterior point method, to solve the optimal value of constrained optimization problems.)
    2011-12-14 21:03:24下载
    积分:1
  • ece4305_code2
    DBPSK transreceiver design model using simulink
    2013-01-11 01:34:16下载
    积分:1
  • svm
    This is the source code for a Single Vector Machine classifier, briefly called a SVM classifier. There are 60 peices assigned for training and 30 for testing the classifier.
    2011-06-08 20:13:23下载
    积分:1
  • MatchFilterLFM
    高分辨率雷达 距离向压缩算法滤波器设计 三种方法 全面设计(clc clear all close all 2013年9月28日 ---------------参数---------- Tr=42e-6 fs=9.5e6 K=0.7e11 Nfft=2048 -------------匹配滤波 时域生成-------------- t=(-Tr/2+1/fs:1/fs:Tr/2-1/fs) w = kaiser(length(t),2.5) w=w w = ones(1,length(t)) ht1=w.*exp(-1i*pi*K*t.^2) ht2=w.*exp(1i*pi*K*t.^2) hf1=fft(ht1,Nfft) hf2=fft(ht2,Nfft) figure subplot(211) plot(abs(hf1)) title( 匹配滤波器1 幅频响应 ) subplot(212) plot(phase(hf1)) title( 匹配滤波器1 相位 ) figure subplot(211) plot(abs(hf2)) title( 匹配滤波器2 幅频响应 ) )
    2013-10-12 22:32:06下载
    积分:1
  • LMS
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    2009-03-17 11:03:05下载
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