turbo_code

this matlab code operate histogram equalization based on probability

This example shows how to calculate the deflection of a structural plate acted on by a pressure loading using the Partial Differential Equation Toolbox(TM).

编写一个可以增强图像的函数，可以使得图像的灰度级转变。(Write a function that can enhance the image, you can make changes in the gray level of the image.)

Source separation problems in digital signal processing are those which are used to separate useful signal a mix of signals of interest, other signals and noise. The typical example of a source separation problem is the cocktail party problem, where many number of peoples are talking simultaneously in a room and a listener is trying to follow one of the discussions. The human brain can separate the voices of different people (source separation) using neurons in the auditory region. But source separation using digital signals is difficult task with the available techniques. Several approaches have been proposed for solving this issue but most of the techniques are still in development stages. Some of the successfully tested approaches are principal components analysis (PCA) and Independent components analysis (ICA). Both the approaches work well when there are no delays or echoes present

A simple script that simulates the evolution of a system subjected to random thermal fluctuations(based on Ken Elder s 1993 paper: "Langevin simulations of nonequilibrium phenomena")

该程序主要是利用matlab采集一个正弦波信号，这个正弦信号时加偏置的，然后将其转换成16进制，最后输出到txt文本当中。(In order to finish this task that we should be used for matlab program that it can let a sin. signal convert to hexadecimal and this singal add offset.The data ouput to txt.)

matlab works codes and simulations

说明：  结合MATLAB的优点来更好的实现DSP中的相应功能(Combining the advantages of MATLAB to better achieve the corresponding functions in DSP)

一个计算单极子天线表面电流的小程序，需要调试！(a calculated monopole antenna surface currents in small procedures, require debugging!)

独立成分分析(Independent Component Analysis，ICA)是近年来提出的非常有效的数据分析工具，它主要用来从混合数据中提取出原始的独立信号。它作为信号分离的一种有效方法而受到广泛的关注。(Independent component analysis (ICA) is proposed in recent years very effective tool for data analysis. It is mainly used to extract the original signal of independence the mixed data. It is a effective method to signal separation has been widely concerned. )