msd

array processing code for communication engineering(array processing code for communication e ngineering)

Bayesian Object Detection in Dynamic Scenes

三维的分数阶傅立叶变换，用于非平稳信号处理(the 3D Fractional Fourier Transform)

《MATLAB程序设计教程》的课件及其书中的代码(《MATLAB programming tutorial》 code of courseware and books)

灰度图像的直方图均衡化以及rgb图像的均衡化(Gray-scale image histogram equalization and the equalization of rgb images)

matlab编写 的pso代码，毕业设计源代码 ，是写论文的好资料(pso code, written by matlab graduation project source code, write good papers)

说明：  时间反转镜算法进行定位估计，利用声场波导特性，实现信号的增强和减弱(time reversal mirror APTRM)

根据一年中前6个月的负荷和电价数据，预测后六个月的电价，并计算精度(According to the first 6 months of the year the load and price data, predict the next six-month price and caculate the accuracy)

脉冲多普勒雷达接收信号，进行快速傅里叶变换，并进行分析，最后输出图形。最简单的原创(Pulse Doppler radar, the received signal, fast Fourier transform, and analyze the final output graphics. The most simple and original)

The cross-entropy (CE) method attributed to Reuven Rubinstein is a general Monte Carlo approach to combinatorial and continuous multi-extremal optimization and importance sampling. The method originated from the field of rare event simulation, where very small probabilities need to be accurately estimated, for example in network reliability analysis, queueing models, or performance analysis of telecommunication systems. The CE method can be applied to static and noisy combinatorial optimization problems such as the traveling salesman problem, the quadratic assignment problem, DNA sequence alignment, the max-cut problem and the buffer allocation problem, as well as continuous global optimization problems with many local extrema.