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于 2016-02-13 发布文件大小:9KB

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基于Matlab编写的MIMO通信系统仿真，代码是在课设的报告；包含数字通信系统 jXFSeJ仿真流程，实现基本的信道编译码、调制解调等通信模块。学习并实现MIMO空时处理技术学习性能分析的思路和方法，包含 pmKzprT解码算法。(Based on the Matlab MIMO communication system simulation, code is class-based reporting jXFSeJ contains digital communication system simulation process, to achieve the basic channel coding, modulation and demodulation and other communication modules. Learn and implement ideas and methods MIMO space-time processing performance analysis of technological learning, comprising pmKzprT decoding algorithm)

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RGB
This is an example of the combining programme using VC++6.0 and Matlab 7.0.

2009-09-16 15:35:51下载

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Solves weighted absolute orientation problem using Horn s quaternion-based method

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Modeling of Solar Photovoltaic Panels in Matlab/Simscape Environment

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CWavvelet_Esta
计算时间序列的Hurst系数有许多方法，但是其中最准确的就是运用小波法来计计算，本程序源码用Matlab实现了用小波来计算Hurst系数。 (There are many ways of calculating the Hurst coefficient of time series, but one of the most accurate calculation using wavelet method to count the program source code using Matlab achieve wavelet Hurst coefficient.)

2012-08-23 20:57:02下载

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ofdm
ofdm and its use and how to simulink it in matlab

2011-11-19 15:26:37下载

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cdma
基于matlab的多用户检测技术，有各种算法和论文。(Matlab-based multi-user detection technology, there are a variety of algorithms and papers.)

2021-04-04 11:59:04下载

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SMI
块自适应处理算法先有采样快拍数据计算采样协方差矩阵，再来计算自适应权矢量。典型的块自适应处理算法为采样矩阵求逆(SMI)算法。仿真了采样矩阵求逆法(SMI)的波束形成方向图旁瓣的高低受信号快拍数的影响。(Block adaptive processing algorithms prior sample snapshot data of the sampling covariance matrix, again computing adaptive weight vector. A typical block adaptive processing algorithms for the sample matrix inversion (SMI) algorithm. Simulation of the sampling matrix inversion method (SMI) beamforming pattern sidelobe level of the signal by the number of snapshots.)

2020-12-14 10:09:14下载

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tts
describes the text to speech conversion using matlab

2021-04-07 18:29:01下载

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pca1
Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. The number of principal components is less than or equal to the numbe

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SuOrEM
Compressive sensing SuOrEM code

2013-10-18 00:19:04下载

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