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spLpc
lpc feature voice its important for extraction
14 coofeecient
- 2010-07-02 21:29:56下载
- 积分：1
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IHS
intensity hue saturation
- 2011-05-08 05:25:12下载
- 积分：1
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Adaptive_MMSE
本文件用MATLAB实现MMSE算法，源代码(SMI algorithm )
- 2011-12-07 11:08:43下载
- 积分：1
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template-matching_CSDN
图像特征提取 特征提取 matlab 特征提取 图像特征 (Image feature extraction feature extraction feature extraction matlab image features)
- 2013-12-23 11:33:08下载
- 积分：1
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rayleigh
基于Matlab的移动通信中多径衰落信道的仿真基于多径传输和多普勒频移的 瑞利（Rayleigh）信道的仿真 主要考虑不同条件下的仿真(Matlab-based mobile communications in the multipath fading channel simulation based multi-path transmission and Doppler frequency shift of the Rayleigh (Rayleigh) channel simulation the main consideration of the simulation under different conditions)
- 2011-09-29 21:17:29下载
- 积分：1
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gaijinmuxic
对DOA算法中的MUSIC算法进行了改进，使其对DOA的估计更准确,(Algorithm for DOA MUSIC algorithm has been improved to make it more accurate estimates for DOA,)
- 2013-11-13 10:38:59下载
- 积分：1
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Relevance-Vector-Machine
说明： 相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。
它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method.
Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)
- 2021-03-23 21:20:53下载
- 积分：1
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Transformers
Transformers simulink file in matlab
- 2013-08-05 14:18:55下载
- 积分：1
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OMAvsNOMA
OMAvsNOMA using matlab coding
- 2021-02-26 22:19:37下载
- 积分：1
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GMmodelpretect
说明： 灰色模型，用于只有少数数据的情况，有良好的收敛性，简单有效(GM(1,1)model,be used to pretect data)
- 2011-04-03 21:04:13下载
- 积分：1
