info

DS证据推理的置信函数（bel）的计算函数，详细使用见该文件内的帮助说明(DS evidential reasoning confidence function (bel) calculation function, see the document in detail the use of the help that)

求解线性方程组的几种方法：高斯列主元、高斯塞德尔迭代法(Solving linear equations in several ways: column pivot Gauss, high Sise del iteration)

卷积码编码器的实现，是误码性能分析的一部分(Implementation of convolutional encoder)

应用程序 偏最小二乘法回归分析 pls matlab(application partial least squares regression analysis pls Matlab)

BCH(15,5,7)a communication system consists of binary source, 3 error-correcting BCH code of length 15 over GF(24) (i.e, BCH (15,5,7 code), the primitive polynomial is p(x)=1+x+x4), BPSK modulator, AWGN channel, coherent demodulator, decoder (either BMA or EA could be utilized to solve the error locator polynomial) and sink. Simulate and draw its error performance with and without BCH coding, together with the theoretical no-coding curve, i.e. two BER-EbNo curves.(a communication system consists of binary source, 3 error-correcting BCH code of length 15 over GF(24) (i.e, BCH (15,5,7 code), the primitive polynomial is p(x)=1+x+x4), BPSK modulator, AWGN channel, coherent demodulator, decoder (either BMA or EA could be utilized to solve the error locator polynomial) and sink. Simulate and draw its error performance with and without BCH coding, together with the theoretical no-coding curve, i.e. two BER-EbNo curves. )

合成地震记录正演模拟n = 5000 采样点数 dx = 50 道间距 dt = 0.02 采样间隔 nl = 3 界面数 m = 80 道数(Forward modeling of synthetic seismograms)

New users and old of optimization in MATLAB will find useful tips and tricks in this document, as well as examples one can use as templates for their own problems. Use this tool by editing the file optimtips.m, then execute blocks of code in cell mode from the editor, or best, publish the file to HTML. Copy and paste also works of course. Some readers may find this tool valuable if only for the function pleas - a partitioned least squares solver based on lsqnonlin. This is a work in progress, as I fully expect to add new topics as I think of them or as suggestions are made. Suggestions for topics I ve missed are welcome, as are corrections of my probable numerous errors. The topics currently covered are listed below(New users and old of optimization in MATLAB will find useful tips and tricks in this document, as well as examples one can use as templates for their own problems. Use this tool by editing the file optimtips.m, then execute blocks of code in cell mode from the editor, or best, publish the file to HTML. Copy and paste also works of course. Some readers may find this tool valuable if only for the function pleas- a partitioned least squares solver based on lsqnonlin. This is a work in progress, as I fully expect to add new topics as I think of them or as suggestions are made. Suggestions for topics I ve missed are welcome, as are corrections of my probable numerous errors. The topics currently covered are listed below)

Duda教授出的书《模式分类》课后上机题，Matlab源代码和答案(Professor Duda out of the book 《Pattern Classification》，after-school-on question, Matlab source code and answers)

针对汽车的动力学仿真，建立的驾驶员基础模型(A driver basic model is established for vehicle dynamics simulation)

用MATLAB编写的svm源程序，可以实现支持向量机，用于特征分类或提取(MATLAB svm prepared by the source, can achieve a support vector machine for the feature classification or extract)