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MATLAB-biancheng-fangfa
matlab进阶教程。讲述如何用程序控制matlab绘图、计算、GUI等。(matlab advanced tutorial. About how to use process control matlab graphics, computing, GUI, etc..)
- 2010-07-28 16:29:47下载
- 积分：1
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softthr
soft thresholding u have to pin out u know what i mean if u know matlab
- 2010-02-22 06:26:45下载
- 积分：1
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window_fir
说明： 本压缩文件包含了用MATLAB做的几种fir滤波器，功能强大，可用性强！(This compressed file contains the use of MATLAB to do some fir filter, powerful, and the availability of strong!)
- 2010-05-01 22:33:53下载
- 积分：1
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kaerman
语音信号去噪，在MATLAB开发环境下，对含噪声的语音信号进行卡尔曼滤波，实现语音增强的功能。(The voice signal denoising, the Kalman filter, the noisy speech signal in the MATLAB development environment
Wave, speech enhancement.)
- 2012-03-15 10:25:29下载
- 积分：1
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Endpoint-effect-code
模式识别算法经验模式分解的端点效应消除代码(Pattern Recognition Algorithm Empirical Mode Decomposition Endpoint Effect Elimination Code)
- 2017-02-26 19:35:11下载
- 积分：1
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floyed
佛洛依德算法的matlab实现，可求任意两点间的最短距离(Freud algorithm matlab realize, arbitrary rectifiable the shortest distance between two points)
- 2007-08-15 12:52:21下载
- 积分：1
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huffmandecode
霍夫曼编码的MATLAB程序
对简单序列的编码
(huffman code)
- 2009-05-05 21:20:45下载
- 积分：1
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Untitled
说明： 很好用的小波分解程序，简单，对初学者很有帮助。(Nice wavelet decomposition program, for beginners helpful.)
- 2011-03-23 10:05:47下载
- 积分：1
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knn-MatlabCode
说明： K近邻算法。(k-Nearest Neighbor，KNN)，是一个理论上比较成熟的方法，也是最简单的机器学习算法之一。该方法的思路是：在特征空间中，如果一个样本附近的k个最近(即特征空间中最邻近)样本的大多数属于某一个类别，则该样本也属于这个类别。(K-nearest neighbor algorithm. K-nearest neighbor (KNN) is a mature method in theory and one of the simplest machine learning algorithms. The idea of this method is: in the feature space, if most of the k nearest (i.e. the nearest) samples near a sample belong to a certain category, then the sample also belongs to this category.)
- 2020-10-04 15:21:47下载
- 积分：1
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matlab-for-AMI
用matlab进行AMI编码的调试并进行文本的输出与输入 同时还可以直观的看到波形图(MATLAB program used to prepare the
AMI modulation and demodulation process, and in order to simulate the process of digital communication system, in the modulated Gaussian white noise after.)
- 2012-04-22 07:05:59下载
- 积分：1
