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SparseOLS_V2
Greedy Algorithms for Underdetermined but Sparse Solutions
- 2009-09-12 23:44:03下载
- 积分：1
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matlab
适合初学者学习的matlab手册，并且有常用的例程(Suitable for beginners to learn matlab manuals, and a commonly used routine)
- 2008-04-19 22:26:21下载
- 积分：1
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adpcm_decoder
说明： 用matlab编写的ADPCM编码和解码.里面包括了编码和解码的m文件.The algorithm is based on IMA ADPCM.
(using Matlab prepared by the ADPCM encoding and decoding. They include coding and decoding m documents. The algorithm is based on IMA ADPCM.)
- 2006-03-30 14:55:41下载
- 积分：1
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test_quality
test voice quality with errors
- 2012-04-13 23:21:24下载
- 积分：1
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mini-prj-invpend
The “INVERTED PENDULUM, ANALYSIS, DESIGN AND IMPLEMENTATION” is a collection of
MATLAB functions and scripts, and SIMULINK models, useful for analyzing Inverted
Pendulum System and designing Control System for it.
- 2013-12-08 17:52:12下载
- 积分：1
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genePV
optimisation generateur PV
- 2009-10-22 18:11:12下载
- 积分：1
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Physical-Modeling-Tutorial-Exercises
用于辅助物理建模的工具箱。包括详细的说明文档和代码。(For auxiliary physical modeling toolbox. Including detailed documentation and code.)
- 2013-09-05 14:01:27下载
- 积分：1
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DeepLearnToolbox-master
深度学习工具箱的matlab程序，包括NN,CNN,CAE,SAE,DBN等多种深度学习算法。
(It s a deep learning toolbox of matlab, including NN, CNN, CAE, SAE, DBN and other deep learning algorithms.)
- 2014-07-10 21:46:25下载
- 积分：1
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Envelope-Detction
信号包络检测分析的matlab程序.信号包络是信号的一个重要特征,对其进行正确检测可以提取出信号的一些重要的信息.(Matlab code of envelope detection for signal analysis.Envelope of signals is an important characteristic,and detecting it correctly can extract the important information of a signal.)
- 2012-11-20 18:15:14下载
- 积分：1
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BP-and-SOM
BP（Back Propagation）网络是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。
BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。
它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。
通过对信息的提取以及记忆，用作分类、聚类、预测等。
(BP (Back Propagation) network is a pre-press error back propagation algorithm Multilayer feedforward network, is one of the most widely used neural network model. BP network can learn and store a large amount of input- output mode mapping without prior reveal mathematical equations that describe the mapping relationship. It s learning rule is to use the steepest descent method, by reverse spread to constantly adjust the network weights and thresholds and the minimum sum of squared error of the network. BP neural network topology comprises an input layer (input), hidden layer (hide layer) and an output layer (output layer). By extracting information and memory, it is used as classification, clustering, prediction.)
- 2016-03-09 10:41:33下载
- 积分：1
