lauwers_tom_2006_1

这是一本利用matlab编程环境实现信号处理的教程，有兴趣的同学可以看看。(This is a programming environment used to achieve signal processing matlab tutorial, students who are interested can look at.)

electrical for converting fixed dc to variable dc

本程序计算金属包覆平板波导有效折射率的和损耗(The program calculates metal-coated slab waveguide effective refractive index and loss)

一种频率域计算天然地震接收函数的程序，matlab程序(A method which calculate the receiver-function in frequency )

43 cases of neural network matlab source code 神经网络43个案例的源代码，(43 cases of neural network matlab source code)

using matlab developing financial models

利用Matlab编写构造最小生成树的Prim算法，程序注释清晰，通俗易懂。(Minimal Spanning Tree-- Prim)

speech compression using rabiner algorithm

盲源分离（BSS: Blind Source Separation），又称为盲信号分离，是指在信号的理论模型和源信号无法精确获知的情况下，如何从混迭信号（观测信号）中分离出各源信号的过程。盲源分离和盲辨识是盲信号处理的两大类型。盲源分离的目的是求得源信号的最佳估计，盲辨识的目的是求得传输通道混合矩阵。(Blind signal separation (BSS), also known as blind source separation, is the separation of a set of source signals from a set of mixed signals, without the aid of information (or with very little information) about the source signals or the mixing process. This problem is in general highly underdetermined, but useful solutions can be derived under a surprising variety of conditions. Much of the early literature in this field focuses on the separation of temporal signals such as audio. However, blind signal separation is now routinely performed on multidimensional data, such as images and tensors, which may involve no time dimension whatsoever.)

The simplest channel which we use in ideal case is AWGN channel and everyone knows that before starting siluation on the other part of the system we must simulate the AWGN channel.this is AWGN channel with a BPSK signal going through it and finally we detect the signal and plot BER vs SNR to compair with the theory.