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sparsify_0_5
稀疏工具箱，用于压缩感知，包含BP、MP、OMP等算法的实现，附有论文。(sparsify_0_5 cs)
- 2021-03-08 10:39:28下载
- 积分：1
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multi-cell_virtual_MIMO
LTE中的多小区初级系统级虚拟MIMO上行仿真，使用SCM信道模型(LTE in the initial system-level multi-cell uplink virtual MIMO simulation, using the SCM channel model)
- 2010-07-05 23:47:43下载
- 积分：1
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WiMAX0FDMAMatlab
Other simulation OFDMA
- 2010-08-17 10:18:23下载
- 积分：1
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buck
基于matlab simulink搭建的buck降压斩波电路，模型正确可直接使用(Based on the the matlab simulink structures buck buck chopper circuit, the model is correct and can be used directly)
- 2012-08-30 10:14:03下载
- 积分：1
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ACASP
有关蚁群算法的matlab程序，希望对大家有所帮助，有问题共同讨论，(On the ant colony algorithm matlab procedures, everyone would like to help, have problems to discuss,)
- 2007-10-20 11:45:19下载
- 积分：1
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pca
本程序描述了pca在人脸识别上的应用。并带有输入输出，可在人脸库上进行试验。(This procedure describes the pca in face recognition applications. And with the input and output can be tested on the face database.)
- 2010-01-08 21:24:42下载
- 积分：1
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32
说明： 这是基于matlab软件编写的开发型代码(this is a program)
- 2011-12-20 19:54:03下载
- 积分：1
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LDAANDPCA
LDA和PCA的一个程序，主要是LDA和PCA，并不是一个完整的工程，仅供大家参考。(LDA and PCA program, mainly LDA and PCA, is not a complete project, only for reference.)
- 2015-08-07 10:19:49下载
- 积分：1
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psotb-beta-0.3
老外编的标准pso算法的matlab工具箱，该工具箱将PSO算法的核心部分封装起来，提供给用户的为算法的可调参数，用户只需要定义好自己需要优化的函数(计算最小值或者最大值)，并设置好函数自变量的取值范围、每步迭代允许的最大变化量(称为最大速度，Max_V)等，即可自行优化。(Part of the standard of foreigners pso algorithm matlab toolbox, the toolbox will be the core of the PSO algorithm package together to provide to the user adjustable parameters for the algorithm, users only need to define their own needs better optimization function (calculation of minimum or maximum value), and set a good function, since the range of variables, each iteration step the maximum allowable variation (known as the maximum speed, Max_V) and so on, can be self-optimizing.)
- 2009-12-23 10:55:57下载
- 积分：1
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dispatch
Finally, probability analysis, based on the chosen database, is performed and
judgment whether the person is recognized is pronounced. Two different modeling
techniques can be suggested for purposes of person identification or verification. The
approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of
Gaussian distribution is text-dependent one. For this technology a speaker is
described by a set of HMMs, constructing the set of speech groups spoken by that
person. The speech groups may be phonemes or words [7]. The text-independent
technology is rested upon Gaussian Mixture Speaker Models. For this technology
each speaker is defined by only one model describing all utterances of that person.
Identification in the range of both approaches is executed by evaluation of maximum
a posteriori probability [7].
- 2013-12-14 14:24:24下载
- 积分：1
