zero_forcing_equalizer_for_STBC_systems

matlab高级编程 课本中的源代码 作者谷源涛(" Matlab Advanced Programming," in the source code for textbook authors Gu Yuan Tao)

Program ordering 4 numbers

主程序arma2Ddemo是对模拟图像的2DAR和ARMA参数估计。(arma2Ddemo: See and run the demo arma2Ddemo for an example of 2D AR and ARMA parameters estimation from simulated images. - sim_ar2d: generation of simulated 2D AR process. - sim_arma2d: generation of simulated 2D ARMA process. - ar2d: solves 2D yule walker to estimate AR parameters - arma2d: estimation of 2D ARMA parameters. First step: estimation of the gaussian input by inv_ar2d, Second step: linear system solution to estimates simultaneously AR and MA parameters, as explained in [1]. - inv_ar2d: first step in arma2d. Filters through inverse filter 1/AR an AR process, to generate its innovation Gaussian signal. It is used here to estimate the Gaussian noise input to the ARMA 2D process, approximating the ARMA model to a high order AR model. - poles2coeff: converts poles chosen by user to AR or MA coefficients (support function) )

S-Function（系统函数）为扩展Simulink® 的性能提供了一个有力的工具。以下下节阐述了什么是 S-Function，为什么可以使用S-Function，以及怎样编写自己的S-Function。(S-Function (system function) for the expansion of the performance of Simulink ® provides a powerful tool. The following section describes what is under the S-Function, Why you can use the S-Function, and how to write your own S-Function.)

turbo码在simulink中的编译码、误码率分析的仿真。(the encoding and decoding of turbo codes in the simulink simulation, bit error rate analysis.)

说明：  这是一个关于RS码程序，使用MATLAB软件对RS码系统进行仿真，最后画出RS码的误码率与信噪比之间的关系图(This is a program on the RS codes, RS codes using the MATLAB software system is simulated, the final draw RS code error rate and SNR of the relationship between the map)

OPTIMISATION OF SIGNAL BY PARTICULE SWARM METHOD

signals and systems with matlab complete references with applications

一种智能优化算法-人工神经网络算法的matlab源程序(artificial neural network)

核主元分析程序,基于主元分析进行开发编写，可实现核空间数据降维(KPCA program developed to prepare based on principal component analysis, nuclear spatial data dimensionality reduction)