yichuansuanfa

二维FDTD程序，采用Mur吸收边界，实现了较好的吸收效果，可以用来与UPML吸收边界比较。(2D FDTD program, the Mur absorbing boundary to achieve a better absorption, can be used with UPML absorbing boundary.)

Yale人脸数据库B扩展库（mat 格式）ExtendYaleB数据库，可以作为人脸分类分割实验数据(Yale face database B extension library (mat format) ExtendYaleB database can be used as face classification division of experimental data)

MATLAB Tutorial This tutorial is available as a supplement to the textbook Fundamentals of Signals and Systems Using Matlab by Edward Kamen and Bonnie Heck, published by Prentice Hall. The tutorial covers basic MATLAB commands that are used in introductory signals and systems analysis. It is meant to serve as a quick way to learn MATLAB and a quick reference to the commands that are used in this textbook. For more detailed information, the reader should consult the official MATLAB documentation. An easy way to learn MATLAB is to sit down at a computer and follow along with the examples given in this tutorial and the examples given in the textbook.

一个QPSK调制解调的程序，在Matlab环境下实现。(A QPSK modulation and demodulation process in Matlab environment to achieve.)

matlab子函数，RPCA。已调试通畅，可直接调用，无需折腾。(matlab Functions, RPCA. Debugging has been smooth, can be called directly, without having to toss.)

一个用simulink做的模糊PID自适应系统，通过三个模糊FIS：dkp,dki,dkd来分别控制Kp,Ki,Kd，以达到PID参数可自动调整的目的。(A simulink do with self-adaptive fuzzy PID system, through three fuzzy FIS: dkp, dki, dkd to control the Kp, Ki, Kd, in order to achieve automatic adjustment of PID parameters can be objective.)

⑴编程实现直方图均衡化 ⑵设计完成同态滤波器，并用之改善图象质量。 ⑶对某图像加入不同类型﹑不同强度的噪声（周期﹑椒盐噪声），并分别用空间域和频率域的方法抑制噪声。 (⑴ ⑵ programming histogram equalization filter design is completed with the state and used to improve the image quality. ⑶ image of a different intensity with different types of noise ﹑ (cycle ﹑ salt and pepper noise), respectively, with spatial and frequency domain methods of noise suppression.)

GM（1,1）动态模型预测源代码，可以预测未来老年人口的比重，较好的人口预测模型(GM (1,1) dynamic model to predict the source code, we can predict the future the proportion of the elderly population, the better the population forecasting model)

Speech Recognition - Numbers 1 to 5 Energy normalization and time alignment References: [1] L. Rabiner and B.H. Juang,Fundamentals of Speech Recognition, Prentice-Hall, 1993. ％ [2] P.E. Papamichalis, Practical Approaches to Speech Coding, Prentice-Hall, 1987. ％ [3] J.D. Markel and A.H. Gray,Linear Prediction of Speech(Speech Recognition-Numbers 1 to 5 Energy n ormalization and time alignment References : [1] L. Paras and B. H. Juang, Fundamentals of Speech Recognition. Prentice-Hall, 1993. % [2] P. E. Papamichalis, Practical Approaches to Speech Coding, Prentice-Hall, 1987. % [3] J. D. Markel and A. H. Gray, Linear Prediction of Speech)

MCMC代码，非常适合初学者进行试验，加深理解，马尔可夫链蒙特卡罗(MCMC code, ideal for beginners to experiment, to deepen understanding, Markov chain Monte Carlo)