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gpdshmm_toolbox_v1[1].0
说明: 一个隐马尔可夫模型工具箱一个隐马尔可夫模型工具箱一个隐马尔可夫模型工具箱(Hidden Markov Model of a toolbox of a Hidden Markov Model of a Hidden Markov Model Toolbox Toolbox)
- 2008-12-03 01:50:31下载
- 积分:1
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computeMelSpectrum
compute mel spectrum speech recongintio in matlab program 1m
- 2013-03-16 11:47:50下载
- 积分:1
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readPLYfile
Reads a ply file (text format). ply files can be in binary format as well this function can read ply files in txt format only e.g. created by makePly.m.
- 2012-04-28 02:43:27下载
- 积分:1
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peizhun
对图形图像进行处理,使图形图像配准,更为准确(The graphic image processing, the graphics image registration, more accurate)
- 2013-08-27 20:00:26下载
- 积分:1
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ASCII-Decoder
Matlab code with GUI for decoding ASCII characters into readable text
- 2013-12-27 17:11:05下载
- 积分:1
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yprime
IT IS FOR MATLAB PROJECT
- 2009-10-04 22:14:21下载
- 积分:1
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6
说明: 梯形法求数值积分和simpson法求数值积分以及gauss-lengendre法求数值积分(Trapezoidal method seeking numerical integration and simpson Method the numerical integration the gauss-lengendre Method numerical integration)
- 2012-12-28 19:28:21下载
- 积分:1
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程序
说明: newmark 简单方法 简单的示例 简单易懂(The newMark simple method simple example is easy to understand)
- 2020-06-17 21:27:16下载
- 积分:1
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PCA_tutorial
This tutorial is designed to give the reader an understanding of Principal Components
Analysis (PCA). PCA is a useful statistical technique that has found application in
fields such as face recognition and image compression, and is a common technique for
finding patterns in data of high dimension.
Before getting to a description of PCA, this tutorial first introduces mathematical
concepts that will be used in PCA. It covers standard deviation, covariance, eigenvectors
and eigenvalues. This background knowledge is meant to make the PCA section
very straightforward, but can be skipped if the concepts are already familiar.
- 2014-10-09 05:08:06下载
- 积分:1
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Document1
its matlab code for lane detection algorithm for intelligent highway
- 2014-01-17 02:51:58下载
- 积分:1