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于 2010-06-05 发布文件大小:1KB

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Thinking on the matlab image processing, through four-dimensional perspective, involving multidisciplinary summary, as well as the threshold of the chaotic property

文件列表：

dftuv.m,540,2009-03-09
hpfilter.m,1042,2009-03-09

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LS_MSE_calc
calcultes the Least squqres and the minimum mean square error

2014-11-26 18:30:26下载

积分：1
KNN
一个很好的KNN算法的matlab程序，供参考(it is a good program writting with matlab under windows)

2013-12-03 15:58:25下载

积分：1
OFDM
一个关于OFDM信道估计的Matlab源程序

2010-09-07 20:37:06下载

积分：1
MATLAB7_Digital_signal_processing
本文件介绍了MATLAB7在数字信号处理领域中的一些最常用的函数，是一本很好的手册！(This file MATLAB7 introduced in digital signal processing in the field of some of the most common function, is a very good manual!)

2009-03-24 16:16:14下载

积分：1
matlab-eei
matlab 输入输出声音，并且可以改变新品的频率(matlab)

2009-11-29 18:02:38下载

积分：1
MATLAByingyongchengxujiekouzhinan
详细介绍了matlab应用程序接口的使用，书中对matlab应用程序接口中所提出的接口函数进行了详细的说明。(Details of the application interface using matlab, matlab book application program interface for the proposed interface functions in a detailed description.)

2011-07-04 21:41:04下载

积分：1
IR-UWB系统的matlab代码
说明：超宽带通信系统相关程序，包括脉冲成形，系统仿真等。(uwb/matlab/pulse shape/simulink/gaussian)

2019-05-04 18:39:35下载

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Simulation-MLI-onduleur
simulation de la commande MLI pour un onduleur ( toute les MLI )

2009-12-17 20:07:38下载

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ACATSP
说明：基于蚁群算法的TSP问题求解的MATLAB程序(TSP problem based on ant colony algorithm for solving the MATLAB program)

2010-04-23 21:43:16下载

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SPMForSensorDataAnalytic
These files contain all the code necessary to run the example in the Webinar "Signal Processing for Machine Learning in MATLAB". They also include code to automate the download and preparation of the dataset used. In that webinar we presented an example of a classification system able to identify the physical activity that a human subject is engaged in, solely based on the accelerometer signals generated by his or her smartphone. We used consolidated signal processing methods to extract a fairly small number of highly-descriptive features, and finally trained a small Neural Network to map the feature vectors into the 6 different activity classes of a pre-recorded dataset. The topics discussed include: * Signal manipulation and visualisation * Design and application of digital filters * Frequency-domain analysis * Automatic peak detection * Feature extraction from signals * Train and test of simple Neural Networks

2018-05-15 11:54:21下载

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