jiryaei

对数据集breast_cancer，用LR，NB算法对其进行操作(On the data set breast_cancer, with LR, NB algorithms manipulate)

说明：  IBD算法源代码 能够让初学者很好的了解IBD算法(blind image restoration)

Huffman、汉明编译码:首先对给定的信源序列进行概率统计，得出信源符号的概率 p，之后进行Huffman 编码，再进行信道汉明编码。(Huffman coding and decoding: firstly given source sequence probability and statistics, the probability derived source symbols p, after Huffman coding.)

this is speech recognition file

用MatLab环境进行OFDM仿真代码，具有注释详细，非常适合初学者。(source code for OFDM ,suitable for the beginner)

A part of aplication component that needed when we need to perform an interfacing between plc and pc

在MATLAB中利用FFT函数来进行变换，其中利用到了HAMMING窗(Using FFT function in MATLAB to carry out transformation, which used to HAMMING window)

Noise estimator for SENSE MRI The Maximum Spacing Noise Estimation in Single-coil Background MRI Data Signal Dependent Noise Level Estimation Fast Noise Estimation in Images Detail Preserving Anosotropic Diffusion for Speckle Filtering (DPAD) 2-D adaptive noise-removal filtering Noise estimators for MRI data Toolbox Noise estimation rician noise corrupted images

snake 算法图像处理 purpose to show the use of traditional snakes and GVF snakes M fuctions.( purpose to show the use of traditional snakes and GVF snakes M fuctions.)

先进 PID 控制及其 MATLAB 仿真（教材+相关程序） 刘金琨 著 电 子 工 业 出 版 社 内 容 简 介 本书从 MATLAB 仿真角度系统地介绍了 PID 控制的基本理论、基本方法和应用技术，是作者多年来从事控制系统教学和科研工作的结晶，同时融入了国内外同行近年来所取得的新成果。 全书共分十章，包括连续系统和离散系统的 PID 控制，常用数字 PID 控制，专家 PID和模糊 PID 控制，神经 PID 控制，遗传算法 PID 控制，多变量解耦 PID 控制，几种先进的PID 控制，灰色 PID 控制，伺服系统 PID 控制，PID 实时控制，每种方法都通过 MATLAB 仿真程序进行了说明。本书各部分内容既相互联系又相互独立，读者可根据自己需要选择学习。本书适用于从事生产过程自动化、计算机应用、机械电子和电气自动化领域工作的工程技术人员阅读，也可作为大专院校工业自动化、自动控制、机械电子、自动化仪表、计算机应用等专业的教学参考书。(advanced PID control and MATLAB (materials related procedures) with the electronics industry, Hangzhou Press Description of the book from the perspective of MATLAB simulation system introduced PID control of the basic theory, Basic methods and techniques, is the author of control systems for years to teaching and research work at the crystallization Meanwhile at home and abroad into the peer in recent years has made new achievements. The book is divided into 10 chapters, including discrete and continuous system of PID control system, commonly used digital PID control, Expert PID and fuzzy PID control, neural PID control, genetic algorithm PID control, Multivariable decoupling PID control, several advanced PID control, gray PID control, PID control servo system, PID control in real time, ea)