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master thesis in reflective environment

to understand the Algorithm go to matlab help in page dct2 and idct2 to get the mathematical expression for M = N = 8, we can calculate the most of hard values and save it as LUTs to speed up the execution now compare our special 8X8 functions with the internal general functions use this code: A = int32(100*rand(8,8)) tic for i = 1 : 1000 IDCT_8X8(DCT_8X8(A)) end toc tic for i = 1 : 1000 idct2(dct2(A)) end toc i had built the general functions too, but with low speed (to understand the Algorithm go to matlab help in page dct2 and idct2 to get the mathematical expressionfor M = N = 8, we can calculate the most of hard values and save it as LUTs to speed up the executionnow compare our special 8X8 functions with the internal general functionsuse this code: A = int32 (100* rand (8,8)) tic for i = 1: 1000 IDCT_8X8 (DCT_8X8 (A)) end toc tic for i = 1: 1000 idct2 (dct2 (A)) end toc i had built the general functions too, but with low speed)

此方法用模糊聚类的方法对全体样本进行分类，称为模糊c均值(Fuzzy c-means)

转速电流双闭环直流调速系统的仿真文件，仿真结果相当满意(The Simulation of Double Closed-Loop DC Speed Control System )

用matlab编写程序，生成ZC序列，画出自相关函数与循环自相关函数(Programming with MATLAB, generating ZC sequence, and drawing autocorrelation function and cyclic autocorrelation function.)

对非平稳信号进行分段、截取，再对处理过后的短时信号做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征。(The nonstationary signals are segmented, and then the interception, the short-time signal after processing the short-time Fourier transform, the analysis of the spectrum characteristics and frequency characteristics and find the different time node, in order to analyze the acoustic characteristics of different event period.)

说明：  其主要内容包括：MATLAB 入门及基本操作，数 组、矩阵的使用及数据可视化方法，脚步文件及函数的编写，以及仿 真、图形用户界面入门等。(Its main contents include: MATLAB Introduction and basic operation, array, matrix use and data visualization methods, the pace of preparation of documents and functions, as well as simulation, graphical user interface, such as entry.)

一种时频域联合捕捉主动声纳信号的方法.介绍了一种可应用于被动声纳的时频域联合捕捉主动声纳信号的方法及其工作流程。仿真相同噪声环境下使用该方法的发现距离与主动声纳探测距离,仿真结果表明使用该方法的发现距离远超过主动声纳探测距离,使用该方法可实现对目标的远程发现。(A time-frequency domain joint capture of active sonar signals. Introduced passive sonar, which can be applied when the frequency domain joint to capture active sonar signal its workflow. The discovery of the method used in the simulation of the same noise environment distance active sonar detection range, simulation results show that using the method found distance than active sonar detection range, the use of this method can be found remote target.)

this is a very good book for learners of Visual C++. As a beginner i found this was very useful for me. And i hope it will be very useful for those who are interested to learn Visual C++.

系统辨识导论课程学习资料，教你学习辨识基础知识(Introduction to System Identification curriculum learning materials to teach you the basics of learning to identify)