FCM

　介绍了暖通空调系统(HVAC) 故障检测与诊断(FDD) 的概念,发生故障的原因以及主要的故障检测与诊断方 法,比较了常用的故障检测与诊断方法的优缺点,分析了国内、外暖通空调故障检测与诊断的研究现状和应用情况,对暖 通空调故障检测与诊断的发展过程与方向进行了总结和展望(Introduction of the HVAC system (HVAC) fault detection and diagnosis (FDD) concept, the reasons for failure as well as major fault detection and diagnosis methods, compared the commonly used method of fault detection and diagnosis of the strengths and weaknesses, analyzes the domestic and foreign HVAC Fault Detection and Diagnosis Research and application of HVAC Fault Detection and Diagnosis with the direction of the development process are summarized and prospects)

利用STDM方法嵌入水印信息，可设置量化步长，选择各种经典的攻击方式，控制攻击强弱，返回误码率和峰值信噪比(Stdm method using embedded watermark information, to set the quantization step size, choose a variety of classic attacks, controlling the strength of the attack and returned to the bit error rate and peak signal to noise ratio)

卷积编码和解码器，通俗易懂，误码率低，有BER仿真曲线(Convolutional encoding and decoding, and user-friendly, error rate and low BER simulation curves)

code for image clustering using k-means

gabor原子库的产生，应用与核磁共振信号的稀疏表示和重建。(Generating a sparse, the application of nuclear magnetic resonance signal representation library gabor atom and reconstruction.)

语音识别是近年来发展非常迅速的一项计算机智能技术，广泛应用在语音控制、身份识别等多个领域。本次项目主要研究语音识别的预处理过程和特征参数的提取环节。通过对原始语音信号进行预加重和分帧、加窗，滤除低频干扰，提升对语音识别有用的部分，消除了部分噪音和失真。预处理之后进行信号的特征提取，主要选取了短时平均过零率和MFCC两个特征参数，应用matlab软件绘制波形图并提取特征参数矩阵，为之后的语音信号的识别打下了基础。(Speech recognition is a computer intelligent technology which has developed rapidly in recent years. It is widely used in speech control, identity recognition and other fields. This project mainly studies the pretreatment of speech recognition and the extraction of feature parameters. Through pre-emphasis, framing and windowing of the original speech signal, the low frequency interference is filtered out, the useful part of speech recognition is enhanced, and some noise and distortion are eliminated. After pretreatment, feature extraction of signal is carried out. Two feature parameters, short-term average zero-crossing rate and MFCC, are selected. Waveform diagram is drawn by MATLAB software and feature parameter matrix is extracted, which lays a foundation for speech signal recognition.)

均值滤波（线性平滑滤波）和中值滤波程序·······(Average value filter (linear smoothing filter) and value filter )

example 5.21 Jamshedi Book

计算机视觉：让冰冷的机器看懂多彩的世界 科学人，附有原作者的matlab代码(Computer Vision: Let the cold machine read the colorful world of science people)

《精通matlab》电子书，中文版,pdf文档形式，学习matlab的经典教材。( Proficient matlab e-books, the Chinese version, pdf file format, learning matlab classic materials.)