TVD

说明：  理想线扩散函数的matlab程序，即贝塞尔函数的积分。输入输出见文件内的注视(The ideal line spread function of the matlab program, that is, the integral Bessel function. Input and output, see the paper' s attention)

各种小波函数，消失距求取源代码，应用简单方便(Various wavelet functions, disappeared from the strike source, application is simple and convenient)

Fotran95接口用于MATLAB API 的设计中，比较好用。(Fortran 95 Interface to MATLAB API )

average or mean filter for salt and pepper noise.i hope this file help u

QPSK modulation test

《matlab通信工程仿真》源码，张德丰主编，机械工业出版社。里面的readme文件介绍了本书的目录和版本。(" Matlab Communication Engineering Simulation" source, Zhang Defeng editor, Machinery Industry Press. Inside the readme file describes the directory and the version of the book.)

过这个程序，可以更加深入的了解FIR滤波是如何实现的。用AVR单片机 ATMEGA16L实现32阶FIR低通滤波器设计，低通截止频率为200HZ。原始信号经过AD采集后进行FIR运算，处理好的数据通过串口输出。(About this program, a more in-depth understanding of the FIR filter is how to achieve. The 32-order FIR low-pass filter design, low-pass cut-off frequency AVR microcontroller ATMEGA16L 200HZ. The original signal after AD collection, the FIR computation, the output of the processed data through the serial port.)

This paper investigates the generalized Pars ’s theorem of fractional Fourier transform (FRFT) for concentrated data. Also, in the framework of multiple FRFT domains, Pars ’s theorem reduces to an inequality with lower and upper bounds associated with FRFT parameters, named as generalized Pars ’s theorem by us. These results theoretically provide potential valuable applications in filtering, and examples of filtering for LFM signals in FRFT domains are demonstrated to support the derived conclusions

采用贝叶斯正则化算法提高 BP 网络的推广能力。 在本例中，我们采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络，使其能够拟合某一附加有白噪声的正弦样本数据。(Bayesian regularization algorithm to improve the generalization ability of BP network. In this example, we use two training methods, namely LM optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr), to train BP network so that it can fit a sine additional white noise sample data.)

cross correlation of a signals can find with this code