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本文介绍了使用MATLAB编写时间序列的方法，本文介绍了使用MATLAB编写时间序列的方法，(This article describes the preparation of time series using the MATLAB method of preparation of this article describes the use of MATLAB time series methods)

小波神经网络研究的进展及及于rbf算法结合，希望可以抛砖引玉(Wavelet neural network and the progress of the studies and rbf algorithm in combination, hoping to start)

Etalonnage des photos: sterioscopie

分子动力学计算软件lammps的学习资料。(Molecular dynamics calculation software lammps learning materials.)

（1） 数据源：随机产生752*8bit作为数据源 （2） 按照DTMB的能量扩散初始相位和生成多项式来产生伪随机数据并对原始数据源进行加扰 （3） 加扰后的数据直接进行解扰，观察误码率的值，验证加扰算法 （4） 按照DTMB标准构造BCH（1023，1013）来实现BCH（762，752）信道编码器和解码器，并观察其误码率是否为0来验证其正确性。 （5） 最后把能量扩散和BCH编码级联，接收端把BCH解码和解扰级联，观察其误码率，验证正确性。 ((1) Source: randomly generated 752* 8bit as data source (2) in accordance with the energy of the initial phase and the diffusion DTMB generator polynomial to generate a pseudo-random data and the original data source scramble (3) the scrambled data is directly descramble, the bit error rate of the observed values, verification scrambling algorithm (4) In accordance with DTMB standard configuration BCH (1023,1013) to achieve the BCH (762,752) channel encoder and decoder and observe its error rate is 0 to verify its correctness. (5) Finally, the energy dispersal and BCH coding cascade, the receiving end of the BCH decoding and descrambling cascade observed error rate, to verify the correctness.)

说明：  Matlab中文参考手册，可以作为函数的说明(Matlab Manual in Chinese)

说明：  MATLAB主成分分析，改变变量后可以用于因子变量分析，生物学上的(MATLAB component analysis, change the variables can be used to factor multivariate analysis, biological)

线性调频信号脉冲压缩 用matlab生成coe文件以导入xilinx fpga (Chirp signal pulse compression using matlab generated COE file to import xilinx fpga)

Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the sources listed below for a theoretical description of the algorithm. KF Lee (2) offers an especially good tutorial of how to build a speech recognition system using hidden Markov models.

说明：  MATLAB示例代码 从2004年11月起，《MATLAB及在电子信息课程中的应用》的下载程序dsk01改为dsk02。两者只有微小的差别。主要的修改是： 1． 所有的生成图形都由灰色改成白色，以便与书籍上的图相同。 2． 删去了几个无用的程序； 3． 加了了几个程序（如q48a和q48b），以便和书上的章节演示内容相符。(MATLAB sample code from November 2004 onwards, "MATLAB and electronic information in the curriculum of" download dsk01 dsk02 changed. Taken only a very small difference. The major changes are : 1. All graphics generating replaced by gray and white, with the books to the same map. 2. By deleting a few useless procedures; 3. The increase in the number of procedures (such as q48a and q48b), and to book chapters on the demonstration line content.)