GUI

Suma de potencias para calcular campo en el receptor

eeg的脑电地形图，用于matlab中处理eeg数据。(eeg topographic maps of EEG for addressing eeg matlab data.)

非线性光纤光学配套的一些实例matlab演示文件，可以更深刻的了解书本内容。美国，Govind P. Agrawal (Nonlinear fiber optics supporting some of the examples of matlab demo files, you can gain a deeper understanding of book content. The United States, Govind P. Agrawal)

speech compression using fft

说明：  MATLAB实现群时延，小数时延，以及整数时延的方法，已经过仿真(MATLAB group delay, the fractional time delay, and the method of integer delay has been through the simulation)

绘制矢量流场图。这对研究矢量的导数来说是重要的，而且富有启发性。 (plot current vector figure matlab。 it is interesting and enlightening to consider the derivative of a vector. )

人脸识别代码及人脸库 人脸检测识别的代码和两种不同格式的人脸库(Face recognition code and library code of face detection and recognition of two different formats for face)

用matlab将图片进行运动模糊处理，再分别用直接你滤波法，维纳滤波法来对图片进行复原(Using matlab motion blur the picture, and then were used to direct your filtering, Wiener filtering method to recover the picture)

HiperLAN/2 reference model. 16QAM mode with 3/4 code rate (4/6 P2 puncturing rate). (HiperLAN/2 reference model. 16QAM mode with 3/4 code rate (4/6 P2 puncturing rate).)

This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal’s programs collection, which can be found in [1]. While Neal’s collection is well documented, in my opinion, C source codes are still overwhelming, especially if you are not knowledgeable in C language. My software is written for MATLAB, which is more readable than C. You may also want to refer to another MATLAB based LDPC source codes in [2], which has different flavor of code-writing style (in fact Arun has error in his log-likelihood decoder). (This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal s programs collection, which can be found in [1]. While Neal s collection is well documented, in my opinion, C source codes are still overwhelming, especially if you are not knowledgeable in C language. My software is written for MATLAB, which is more readable than C. You may also want to refer to another MATLAB based LDPC source codes in [2], which has different flavor of code-writing style (in fact Arun has error in his log-likelihood decoder).)