de-regular.tar

This m-file simulates MPSK (theoretical and simulated) with Gray coding This m-file simulates MPSK (BPSK,QPSK,8PSK)with theoretical and simulated results using Gray coding. Numerical examples of a satellite link design are shown using QPSK and/or 8PSK when the bit rate(Rb)is greater than the channel bandwidth Wc (Band-limited channel). (This m-file simulates MPSK (a theoretical nd simulated) with Gray coding This m-file simu lates MPSK (BPSK, QPSK, 8PSK) with theoretical and simulated results u sing Gray coding. Numerical examples of a satel lite link design are shown using QPSK and/or 8PS K when the bit rate (Rb) is greater than the chann el bandwidth Wc (Band-limited channel).)

一个基于MATLAB去噪的程序，实现了对高斯噪声的消除，效果非常好，希望大家喜欢(a denoising procedures, a pair of Gaussian noise, the elimination of the effect was very good, hope you like them)

说明：  本次实验是运用不同的方法来设计两组滤波器对数据中的EGC信号进行滤波，滤除工频干扰、肌颤噪声和呼吸基线漂移。并分析用不同方法设计的两组滤波器哪一组比较适用于实际应用需要。(EGC)

MATLAB中介绍简要的降低PAPR的pts编码方案，并给出了源码(Briefly described in MATLAB PAPR reduction coding scheme, and gives the source)

本教程提供了使用MATLAB的实践性指导，它基于MATLAB6.0版，内容由浅入深，特别是本书对每一条命令的使用格式都作了详细而又简单明了的全英文说明(This tutorial provides a practical guide to using MATLAB, which is based MATLAB6.0 version of the content digest, especially for the book using the format of each command are detailed yet simple and clear instructions in English)

刘金坤编写的智能控制一书中的程序代码，调试通过的！(Smart Liu Jinkun a book written control program code, debugging through!)

incidencia normal ondas planas simulación en el dominio del tiempo

基于matlab语言的干扰对齐算法实现，运用对偶迭代200次成功实现算法(Interference-based alignment algorithm matlab language, the use of dual iterative algorithm successfully achieved 200 times)

用matlab实现的对sin函数类型的数据进行预测，这是现代数字信号处理课堂中的实验。(Using matlab implementation of the sin function of types of data to predict, which is a modern digital signal processing the classroom experiment.)

This toolbox distributes processes over matlab workers available over the intranet/internet (SPMD or MPMD parallel model). It is very useful for corsely granular parallelization problems and in the precesence of a distributed and heterogeneus computer enviroment. No need for configuration files ! Cross platforms, cross OS and cross MATLAB versions. Workers can be added to the parallel computation even if it has started. No need of a common file system, all comms are using tcpip connections