RBF

说明：  cancorr的matlab程序。用于信号的典型相关分析。(The matlab program cancorr. For the canonical correlation analysis.)

基于导频的ofdm信道估计算法研究，包括基本的算法思想和解决步骤(Based on the pilot channel estimation algorithm for ofdm research, including the basic ideas and algorithms to solve these)

This is code of Cuckoo Optimization Algorithm (COA) with MATLAB

说明：  简介 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation),1995 年由Eberhart 博士和kennedy 博士提出,源于对鸟群捕食的行为研究 。该算法最初是... 2.算法 2.1问题抽象 鸟被抽象为没有质量和体积的微粒,并延伸到N维空间,粒子i在N维空间的位置表示为矢量Xi=(x1,x2,...,xn),飞行速度表示为矢量Vi=(v1,v2,...,vn)。每个粒子都有一(matlab and GA algorithm)

说明：  通过Matlab编程，给定初始条件及PML边界条件，模拟VTI介质中地震波传播的波场快照。(The initial conditions and PML boundary conditions are given by programming with matlab.A snapshot of seismic wave propagation in VTI media is simulated.)

Partical swarm optimal.

基于matlab的潮流计算，可实现人机界面交互。显示潮流的结果(Matlab calculation based on the trend, enabling human-machine interface interaction. Shows the trend of the results)

仿真了用于MIMO雷达的OFDM Chirp波形的自相关函数和互相关函数，便于进一步优化OFDM Chirp波形，使互相关和自相关性能接近正交波形的性能，从而提高雷达目标检测性能。因为匹配滤波相当于一个互相关器。附有所仿真波形的参考文献，波形设计见本人之前上传的文件(this matlab program simulate the correlation function of ofdm chirp waveform,so that reader can optimizing design new ofdm chirp waveform.from the simulation results we see that the correlation performance are not well enough,so we have to optimize the ofdm chirp.there is reference of my simulation.)

This is a GUI based system. The GUI is invoked from the command line by typing "ui_start". The GUI is self explanatory. Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is "runsim.m".It is recommended that 10000 runs (packets) be used for plotting frame error rates and 5000 runs for BER/SER. Obviously, you would require a fast machine!!! At least a P4 machine. We have used trace criterion for 4PSK states 4,8 and 16 as an example for 2x2 cases. The reader can use rank and determinant criteria, by commenting the trace criterion lines and copying the rank and determinant lines from the respective 2x1 cases. The SNR range can be varied by correcting the range at line 36 of file "runsim.m". This software has been tested with MATLAB version 6.0 and above with signal processing and communications toolbox options. (This is a GUI based system. The GUI is invoked from the command line by typing " ui_start" . The GUI is self explanatory. Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is " runsim.m" . It is recommended that 10000 runs (packets) be used for plotting frame error rates and 5000 runs for BER/SER. Obviously, you would require a fast machine!!! At least a P4 machine. We have used trace criterion for 4PSK states 4,8 and 16 as an example for 2x2 cases. The reader can use rank and determinant criteria, by commenting the trace criterion lines and copying the rank and determinant lines from the respective 2x1 cases. The SNR range can be varied by correcting the range at line 36 of file " runsim.m" . This software has been tested with MATLAB version 6.0 and above with signal processing and communications toolbox options.)

MATLAB6.x信号处理,电子工业出版社(matlab book)