jixieyouhuaMATLAB

主要研究如何利用MATLAB语言来实现数字陷波器的设计的方法。(The design method of the main research how to use MATLAB language to realize digital notch filter. )

说明：  IEEE30节点粒子群无功优化，实现网络损耗最小(IEEE30 node particle swarm optimization, to achieve the minimum network loss)

this code about fuzzy controller

Color Image Enhancement Techniques: A Critical Review Abstract Image enhancement is one of the key issues in high quality pictures such as digital camera and HDTV. Since Image clarity is very easily affected by lighting, weather, or equipment that has been used to capture the image. These conditions lead to image may suffer from loss of information. As a result, many techniques have developed known as image Enhancement techniques to recover the information in an image. This paper presents a literature review on some of the image Enhancement techniques for color image enhancement like, Contrast Stretching, Histogram Equalization and its improvement versions, Homomorphic Filtering, Retinex, and Wavelet Multiscale Transform. Comparison of all the techniques concludes the better approach for its future research

几种分类器，包括adaboost和随机森林(Several classifiers including adaboost and random forest)

控制领域：转台伺服控制系统的研究，摩擦力矩，齿槽力矩等(Control areas: Servo Control System, friction torque, cogging torque)

说明：  说明了matlab与cuda之间的关系，对于有一定基础的matlab编程人员来说，是一个可以借鉴的书(Matlab and cuda illustrates the relationship between the basis for some of the matlab programmers is a reference book)

LTE system, OFDM modulation and Turbo Coding, including Viterbi, BCJR and SOVA are extensively analysed, ending up with a system performance specification. These are used to implement a fixed length Turbo encoder, a 16-QAM modulator and a 16 point IFFT on an FPGA using MATLAB Simulink⃝ R with Xilinx⃝ R System Generator plugin. A MATLAB⃝ R script is developed to test the Simulink implementation. In addition, an iterative Turbo decoder is programmed using MATLAB⃝ R .

本程序是一个用LSSVM实现简单煤炭数据先拟合程序，用MATLAB编写。(This procedure is a simple to use LSSVM first coal data fitting procedures, prepared by MATLAB.)

This Ebook includes a number of examples of parabolic PDEs solved by programmes written in either C, C++, Fortran, or Matlab.