fir-digital-filter

Pulse shaping code for Matlab. This module use a square root raised cosine (SRRC) pulse.

运用距离多普勒算法解决点目标成像问题，并且具有运动补偿功能(RD algorithm)

主元分析与主元回归用于函数的回归拟合已测试(Principal component analysis and principal component regression regression fit for function)

3个RBF网络的matlab源程序，有训练和测试程序(3 RBF network matlab source, there are training and testing procedures)

PQ分解的典型例程，非常适用于初学者及专业人士参考学习(PQ decomposition typical routines, very suitable for beginners and professionals refer to learning)

自适应滤波的很多经典算法以及一些新的算法，FAP,APA,FAPA,RLS,LMS,NLMS(Many classical adaptive filtering algorithms as well as some new algorithms, FAP, APA, FAPA, RLS, LMS, NLMS)

Multi Tracking using Particle Filter Just an implementation of multiple tracking using particle filter.

本代码实现基于Retinex理论的三种方法，分别为单尺度Retinex，多尺度Retinex，以及自商图像方法。直接运行每个文件夹下的test文件就可以得到对应的方法的处理结果。(This code implements three methods based on Retinex theory, respectively, for the single-scale Retinex, the multiscale Retinex, as well as self-quotient image method. The test file can be run directly under each folder corresponds to the method of processing results.)

计算目标跟踪脱靶距离的一种OSPA距离算法(Calculation of target tracking a miss distance: OSPA distance algorithm)

In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. (In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. )