PRLS_ComplexW

该程序是一个振荡相位噪声模型。相位噪声是衡量频率标准源(高稳晶振、原子频标等)频稳质量的重要指标，随着频标源性能的不断改善，相应噪声量值越来越小，因而对相位噪声谱的测量要求也越来越高。(The program is a model of phase noise oscillator. Phase noise is a measure of frequency standard source (high stability crystal oscillator, atomic frequency standard, etc.) an important indicator of the quality of the frequency stability, with the frequency standard source performance continues to improve, the corresponding noise value smaller, and thus the phase noise spectrum of the measurement requirements higher and higher.)

最新的定步长LMS自适应滤波算法，对自适应算法有很大帮助(The latest fixed step size LMS adaptive filtering algorithm)

说明：  实验一：基于LMS算法的“苹果-橘子”分类问题 实验二：基于LMS算法的T-G-F字符识别问题 通过以上两个实验，了解ADALINE网络的结构及计算机制，掌握LMS算法，并会利用该算法来解决简单的模式分类问题。1， 学习ADALINE网络的基本结构及其学习机制，并在Matlab中实现 2， 分别对上述两类分类问题进行实现，并根据实验结果完成实验报告 (Experiment 1: Based on LMS Algorithm Apple- Orange classification issues Experiment two: TGF-based character recognition problem LMS algorithm Through the above two experiments to understand the structure and computer network system ADALINE, master LMS algorithm, and will use the algorithms to solve simple pattern classification problem. 1, learn the basic structure and learning mechanism ADALINE network and to achieve in Matlab 2, respectively, for these two types of classification problems were implemented and completed in accordance with the experimental results of test report)

这是一个实现双音多频(DTMF)通信系统的编程实例，对通信系统各个环节进行了仿真(This is a dual tone multi-frequency (DTMF) communication systems programming examples for all aspects of the communication system simulation)

钢筋、火柴根数的统计，阈值分割、直线检测，hough变换(Steel, matches the statistical number of roots, threshold segmentation, line detection, hough transform)

LMS自适应滤波器与NLMS自适应滤波器的比较(LMS adaptive filter and compare NLMS adaptive filter)

一种基于瞬时无功功率p-q算法的无功电流检测的simulnk仿真(A reactive power P-Q algorithm based on the instantaneous reactive current detection of SIMULNK simulation)

均值漂移算法的MATLAB代码，分割效果还是不错的。(Mean shift algorithm MATLAB code, segmentation effect is good.)

This demo nstrates 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. (This demo nstrates 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. )

车牌定位算法，基于字符轮廓与形态学处理，识别率较高(License plate location algorithm, based on character profiles and morphology, a high recognition rate)