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parzen
分类器的训练与学习是模式识别的一个重要环节,其目的在于按照某种算法,确定判决规则,使之具有自动分类识别的能力。本文介绍了采用Parzen窗法的随机模式分类器,并matlab实现了一个简易的随机模式分类器。(Classifier training and learning is an important part of pattern recognition, in accordance with the purpose of some kind of algorithm to determine the decision rules to identify with the ability of automatic classification. This paper introduces the Parzen window method using a random pattern classifier, and achieved a simple matlab random pattern classifier.)
- 2009-06-30 21:16:57下载
- 积分：1
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Costas_DPSKSignalProduce.m程序
Costas_环相位跟踪的MATLAB程序，基带信号处理(MATLAB Program for Costas_Loop Phase Tracking, Baseband Signal Processing)
- 2020-06-24 00:20:02下载
- 积分：1
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integrated pulses
利用雷达方程，分析在相干积累和非相干积累脉冲数两种情况下SNR增益与积累脉冲数的关系，得出相应的结论图像。(Using the radar equation to analyze the relationship between the SNR gain in the case of coherent integration and non-coherent accumulated pulse number two with the accumulation of the number of pulses, the corresponding conclusions images.)
- 2013-03-22 19:31:28下载
- 积分：1
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16-pianweifenfangcheng-shuzhijiefa
偏微分方程的数值解法【matlab例程】经典算法直接应用方便快捷(Numerical Solution of Partial Differential Equations [convenient] classical algorithm matlab routines direct application)
- 2014-01-20 13:49:25下载
- 积分：1
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MatlabStudy
这里面是100个简单的matlab学习程序,特别适合于matlab的初学者,期待和大家共同进步。(Matlab study)
- 2010-03-14 17:07:18下载
- 积分：1
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SURF
surf特征点检测，并实现两幅图像特征点的匹配(surf feature point detection, and the two images matching feature points)
- 2013-07-20 16:14:10下载
- 积分：1
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MFEToolbox
这个是matlab MFE toolbox,里面附有参考的指导文档(This is matlab MFE toolbox, and inside with reference to the guidance document)
- 2013-02-02 09:04:30下载
- 积分：1
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dp
说明： 一个简单的DTW算法，可以找到两个时序数据的对应关系(A simple DTW algorithm, can be found in the correspondence between two time series data)
- 2011-11-17 21:37:27下载
- 积分：1
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f_power
压力传感器的温度补偿数据标定，根据标定点的压力和温度值，求得各个系数值(Temperature compensation of the pressure sensor calibration data, according to the pressure and temperature values of the calibration points obtained each coefficient values)
- 2013-05-14 20:42:48下载
- 积分：1
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rjMCMCsa
可逆跳跃马尔科夫蒙特卡洛贝叶斯模型选择，主要用于神经网络(Reversible Jump MCMC Bayesian Model Selection
This demo demonstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.)
- 2013-03-11 22:29:52下载
- 积分：1
