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matlabyichuansuanfagongjuxiang
MATLAB基本工具箱，适合初学者使用，包括matlab的基本工具箱(The basic MATLAB toolbox for beginners, including the basic toolbox of matlab)
- 2013-05-14 10:31:28下载
- 积分：1
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coherent
coherent detection matlab simulink
- 2012-02-10 00:29:14下载
- 积分：1
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Kalman-Filter
基于maltab的卡尔曼kalman滤波器的实现(Kalman filter based on the realization of maltab)
- 2011-07-22 11:13:39下载
- 积分：1
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Seize_QAM_AWGN
modulation ofdm 16 qam canal awgn
- 2012-01-09 04:53:01下载
- 积分：1
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Audio-Signal-PaR
audio signal processing and recognition,是一本台湾张智星教授所写的关于语音处理的书籍，网上有另一个版本书名叫《audio processing》，和这个有点区别，两个结合看效果会更好！(audio signal processing and recognition, is a book written by Professor Zhang Zhixing Taiwan books on speech processing, there is another version of the online book called "audio processing", and this little difference, the two combined to see better results!)
- 2014-01-19 22:33:52下载
- 积分：1
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watermark
嵌入同步信号以确定水印的嵌入位置，同时还可以抵抗各种时间轴上的同步攻击(Embedded sync signal to determine the location of the embedded watermark, but also resistant to a variety of simultaneous attacks timeline)
- 2010-07-31 11:28:59下载
- 积分：1
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high-passfilter
这是高通滤波器的matlab程序，用来绘制高通滤波的的幅度和相位值。(This is high-pass filter matlab program, used to draw high-pass filter the size of and phase values.)
- 2010-12-17 18:09:46下载
- 积分：1
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etranger_meursault
will automatically delete the directory of debug and release, so please do not put files on these two directory
- 2010-01-10 22:03:32下载
- 积分：1
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cengizRLS
In this presentation the method of least squares will be used to derive a recursive algorithm for automatically adjusting the coefficients of a tapped-delay-line filter, without invoking assumptions on the statistics of the input signals. This procedure, called the recursive least-squares (RLS) algorithm.
- 2010-02-08 16:27:29下载
- 积分：1
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a-MATLAB-library-for-robust
介绍一个稳健性分析工具箱。主要做稳健性主成分、主成分回归、分类。(Our toolbox currently contains implementations of robust
methods for location and scale estimation, covariance estimation (FAST-MCD), regression (FAST-LTS, MCD-regression), principal
component analysis (RAPCA, ROBPCA), principal component regression (RPCR), partial least squares (RSIMPLS) and classification
(RDA). Only a few of these methods will be highlighted in this paper. The toolbox also provides many graphical tools to detect and classify
the outliers. The use of these features will be explained and demonstrated through the analysis of some real data sets.)
- 2013-10-18 15:41:39下载
- 积分：1
