Turbmat-0.2.0

16QAM系统的调制,解调的仿真。作出星座图及调制，解调信号的波形，输出信号的功率谱，眼图及误码率曲线。(16QAM system, modulation, demodulation of the simulation. Make a constellation and the modulation, demodulation waveform, the output signal of the power spectrum, eye diagram and BER curves.)

电力市场中用于潮流追踪确定分摊费用的程序(Program for the electricity market trend tracking to determine the cost-sharing)

精通Matlab的部分例子，较为全面包含了matlab的基础应用(Proficient in matlab code)

LDR合成HDR图像，比较实用，从别的网站转载过来的。（转载）(LDR HDR image synthesis (reprint))

用matlab完成计算机控制中的连续系统与离散系统的实验，其间用到了关于控制技术中的各种函数，附带实验报告！(Matlab completed by computer-controlled experiments in continuous systems with discrete systems, during use of the various functions on the control technology, with a test report!)

试用时域最小平方误差准则（最小平方逆设计）设计一个具有四项系数的IIR DF的系统函数，使其在y(n)=[3,2,1]输入激励下，输出v(n)逼近d(n)=[2,0.2,0.05]。令v(-1)=v(-2)=0。求出v(n)的前8个样值与d(n)进行比较。用matlab实现了此要求。(trial at the least square error domain guidelines (minimum inverse square design) design with a four DF IIR coefficient of the system function, so in y (n) = [3,2,1] incentive to import, export v (n) approximation d (n) = [2,0.2,0.05]. So v (1) = v (2) = 0. Get v (n) of eight samples value d (n) comparisons. Using Matlab realization of this request.)

基于最小二乘支持向量机的短期电力负荷预测GUI界面设计，可以参考学习(the Forecasting of Short-term Power Load of GUI design.)

本书基于MATLAB 5.2版，提供了使用MATLAB的实践性指导。MATLAB已成为适合多学科、多种工作平台的功能强大、界面友好、语言自然并且开放性强的大型优秀应用软件，同时也已成为国内外高等院校高等数学、数值分析、数字信号处理、自动控制理论以及工程应用等课程的基本教学工具。本书按逻辑编排，自始至终用实例描述；内容完整且每章相对独立；是一本简明的MATLAB参考书，既适用于初学者，也适用于高级MATLAB用户。对MATLAB与FORTRAN、C等语言结合的描述更是所有MATLAB书籍中少有的一大特色。 本书适合作为理工科高等院校研究生、本科生教学用书，也可作为广大科研工程技术人员的自学用书。(MATLAB users. Of MATLAB and FORTRAN, C and other languages with a description of all MATLAB books is a major feature of the few. This book is suitable as a science and engineering colleges and universities graduate, undergraduate teaching books, but also the majority of scientific research and engineering and technical personnel as self-study book.)

this example exchanges the NRZ code to the MANCHESTER code with moore output

测试文本，选用著名的gettysburg这篇英文文本做为测试文本(Second, it fuses the features of the first singular value component and the second one, and then gets the complex feature vectors which reflect not only the statistic frequency but also the sequential structure of letters. In the end, the cosine similarity of texts is used to measure the similarity between the query and documents.)