WATERFILLING-ALGORITHM

给灰度图加入白噪声和椒盐噪声，并设计了几种去噪的算法实现对噪声的降低(Adding white noise to the grayscale and salt and pepper noise, and designed several denoising algorithm for noise reduction)

说明：  模式识别的经典算法之一，感知器算法，用来对模式进行分类，采用matlab编写。(the classic pattern recognition algorithm, perception algorithm, the model used for classification, prepared using Matlab.)

一本详细介绍matlab功能的书，很适合初级的学习者，高手请绕行(A detailed introduction matlab function of the book, it is suitable for junior learners, experts please bypass)

清华大学张旭东老师《现代信号处理》课第二次大作业代码。高效正确地实现LMS算法。( This is an efficient and correct implementation of the LMS algorithm.This code is especialy for the project of modern signal processing ,which is tought by Zhang Xudong in Tsinghua University. )

一种改进的蚁群算法求最优路径的matlab程序(Improved ant colony algorithm optimal path)

这是用SIMULINK的S-FUNCTION方式编写的系统仿真代码，系统是基于4G网络的核心技术空时分组编码的MIMO-OFDM通信系统的，涉及到空间分集、时间分集和频率分集的有机结合，包括QPSK调制解调、IFFT调制、控制编解码、基于训练符号的信道估计等通信模块。包括main_STBC_MIMO_OFDM和training_symbol两个M文件和一个DOC文件，对各部分的都有详细的代码和注释。(It is used SIMULINK the S-FUNCTION approach to the preparation of the system simulation code, the system is based on the 4G network s core technology space-time block coded MIMO-OFDM communication system, involving spatial diversity, time diversity and frequency diversity of the organic combination, including QPSK modulation and demodulation, IFFT modulation, control of encoding and decoding, symbol-based channel estimation training and other communication module. Including main_STBC_MIMO_OFDM and training_symbol two M file and a DOC file, have detailed the various parts of the code and comments. )

Levenstein Coding MATLAB (by Marcos B, BSD license)

说明：  四旋翼无人机内环姿态控制、外环位置控制simulink仿真(Simlink simulation of inner-loop attitude control and outer-loop position control for Four-rotor UAV)

1)编写DFT子函数（计算并画出幅频特性），以后可调用。 2）N=32，M=32，128，256时，分析频率分辨率、频谱的光滑程度。 3）N=64，256，512时，分析频率分辨率和频谱的光滑程度。 (1) the preparation of DFT Functions (calculated and drawn amplitude-frequency characteristics), the future can be called. 2) N = 32, M = 32,128,256, the analysis of the frequency resolution, the degree of smooth spectrum. 3) N = 64,256,512, the analysis of the frequency spectrum resolution and the degree of smoothness.)

Basics in Image processing using MATLAB