BPSK_QPSK

MATLAB源文件，共有10个chapter (MATLAB source files, a total of 10 chapter)

Inference program of Bayesian network (Inference program of Bayesian network)

海杂波模拟 lognormal分布 很好用的(Simulation of lognormal distribution of sea clutte)

Image Filters for Noise Reduction in Images

dc motor simulation with matlab/simulink package software

ARTIFICIAL INTELLIGENCE FILE, WHICH CONTAINS A LESSON ABOUT HOUGH TRANSFORM AND A BASIC ALGORITH IN MATLAB DOING SKELETIZATION AND HOUGH PRINCIPLES.EXCEL CONTAINING A MATRIX ABOUT THE APPLICATION

说明：  在matlab上实现4PSK信号的调制和解调算法，并对结果进行仿真。(In the matlab achieve 4PSK signal modulation and demodulation algorithms, and simulation results.)

经典的利用小波模极大值的方法实现信号去噪的程序 保存格式为TXT.开发环境是MATLAB(classic wavelet modulus maxima of the signal denoising procedures for the preservation TXT format. Development Environment MATLAB is)

均衡效果好，这是基于最大似然估计的均衡器(With the development of high-speed optical fiber communication systems, polarization mode dispersion (PMD) has become a vital limiting factor. However, the traditional compensation methods which in optical domain have the disadvantages of complexity and cost. In recent years, the compensation methods which in electronic domain are given more attention because of their outstanding price advantage and their strong adaptability. The maximum-likehihood sequence estimation (MLSE) equalizer based on the Viterbi algorithm was designed in this paper.The MLSE equalizer can effectively compensate the intersymbol interference caused by polarization mode dispersion (PMD). First, the background and the spectrum of the text were introduced also the principles of PMD and the FFE/DFE equalizer were analysed. Second, the principles of Viterbi and the structure of MLSE were researched also the MLSE equalizer was simulated with the Matlab program in the optical fiber communication systems. T)

not good - Cuckoo Optimization Algorithm for ANN cost ---​ Cuckoo Optimization Algorithm --- - Matlab Toolbox Ver. 1.0.1 - Programmed by- Ramin Rajabioun, 2011 + This code minimizes your cost function, so don t change any part of