belief_propagation_algorithm

基于灰色关联分析在MATALAB中的应用程序算法(Gray Theory)

说明：  EM算法的matlab实现程序，主要用于图象处理(EM)

bresenham algorithm for tracking

归一化LMS算法程序，归一化LMS算法程序，归一化LMS算法程序,归一化LMS算法程序，归一化归一化(Normalized LMS algorithm program, normalized LMS algorithm procedure, the normalized LMS algorithm process, the normalized LMS algorithm program, normalized normalized)

This simulation script set allows for an OFDM transmission to be simulated. Imagetx.m generates the OFDM signal, saving it as a windows WAV file. This allows the OFDM signal to be played out a sound card and recorded back. Imagerx.m decodes the WAV to extract the data. settings.m contains all the common settings to specify all the simulation parameters such as FFT size, number of carriers, input data source file, input and output WAV files, etc. (This simulation script set allows for an OF DM transmission to be simulated. Imagetx.m gen erates the OFDM signal. saving it as a WAV file windows. This allows the O FDM signal to be played out a sound card and recor ded back. Imagerx.m decodes the WAV to extract t he data. settings.m contains all the common set tings to specify all the simulation parameters such as FFT size, number of carriers, input data source file, input and output WAV files, etc..)

这个源程序代码包提供了通信系统中BPSK,QPSK,OQPSK,MSK,MSK2,GMSK,QAM,QAM16等调制解调方式 用matlab的实现，以及它们在AWGN和Rayleigh信道下的通信系统实现及误码率性能(The source code package provides a communication system in BPSK, QPSK, OQPSK, MSK, MSK2, GMSK, QAM, QAM16 manner, such as modulation and demodulation matlab realization, as well as their in AWGN and Rayleigh fading and realize the communication system error rate performance)

GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning algorithms. By using this model, Gaussian Mixture Regression (GMR) can then be used to retrieve partial output data by specifying the desired inputs. It then acts as a generalization process that computes conditional probability with respect to partially observed data.

描绘PSO算法并且获得动态图像动画 discribe a PSO and get an animation(discribe a PSO and get an animationdiscribe a PSO and get an animation)

四元数更新在matlab中的实现，包括采样、更新四元数、规范化、得到姿态角(Quaternion update)

Compression by PCA of Gaussian and Iris data