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CExDSPv5
（源代码）基于计算机的信号处理实践
栾晓明译((source code) computer-based signal processing practice Luan Xiaoming translation)
- 2007-05-09 08:42:35下载
- 积分：1
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floaterK1
这是用MTTLAB编程，采用K近邻法对提取的水面漂浮物特征进行分类(This is programming MTTLAB, K-nearest neighbor method floats feature to classify the extracted water)
- 2013-04-29 11:31:30下载
- 积分：1
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shiyu
生成不同幅值、频率的正弦波、三角波，加入噪声，进行频域分析。(Generate different amplitude, frequency sine wave, triangle wave, adding noise, time domain analysis.)
- 2010-10-20 15:55:53下载
- 积分：1
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MSER_matlab
说明： 获取图像的mser区域，使用matlab语言(Get image mser area, using matlab language)
- 2011-03-07 12:36:29下载
- 积分：1
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Book-Matlab-tranter
pack unpacked bcd nimbers
- 2011-11-29 20:03:06下载
- 积分：1
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voicebox
voicebox contains a number of installation-dependent global parameters and is likely to need editing for each particular setup.
- 2012-05-04 22:24:34下载
- 积分：1
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buckPWM
PWM for Buck converter download from mathwork forum
- 2014-08-26 07:22:52下载
- 积分：1
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dvr
dynamic voltage restorer by dq0 control system
- 2013-03-08 18:09:42下载
- 积分：1
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Neg-entropy
说明： 基于负熵的盲源分离算法，可以用于语音的盲分离，提高语音信号质量。本代码中，对原始信号分别为正弦波，方波，和随机信号，通过高斯信道的混合矩阵，获得接收信号，并通过基于负熵的盲源分离算法分理处原始信号。PS：Matlab版本为2018Ra(The blind source separation algorithm based on negative entropy can be used for speech blind separation and improve the quality of speech signal. In this code, for the original signal, sine wave, square wave and random signal, the received signal is obtained through the mixture matrix of the Gauss channel, and the original signal is processed by the blind source separation algorithm based on negative entropy. PS: MATLAB Version 2018Ra)
- 2019-01-05 22:05:39下载
- 积分：1
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A_Matlab_Tour_of_Wavelet_Programming
This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing : signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures).
Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names e.g. tp1.m, and launch the script directly from Matlab comand line > tp1 . Some of the scripts contains "holes" that you should try to fill on your own.
I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them.
(This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing: signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures). Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names eg tp1.m, and launch the script directly from Matlab comand line> tp1. Some of the scripts contains holes that you should try to fill on your own.I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them.)
- 2008-01-11 15:02:14下载
- 积分：1
