APFPSVG

JPDA，MATLAB，，数据关联源代码(JPDA)

通过用matlab程序设计实现IIR高通数字滤波器。(By using matlab program design of IIR high pass digital filter. )

《MATLAB智能算法超级学习手册》随书光盘，《MATLAB智能算法超级学习手册》的内容主要包括马尔科夫链模型、层次分析法、粒子群算法、遗传算法、蚁群算法、鱼群算法、PID控制算法、神经网络算法等。智能算法对于很多初学者而言，有一定的困难，很难理解程序流程、数据的运算过程，因此给实际应用带来困难。本书将围绕智能算法展开综述，深入浅出地介绍和分析各类智能算法，用智能算法解决工程应用问题。(Content " MATLAB super intelligent algorithm to study the manual" CD with the book, " MATLAB super intelligent algorithm to learn Manual" includes Markov chain model, AHP, particle swarm optimization, genetic algorithm, ant colony algorithm, fish algorithm, PID algorithms, neural network algorithms and other controls. Intelligent Algorithm For many beginners, there are certain difficulties, it is difficult to understand the program flow, data calculation process, and therefore difficult to practice. The book will focus on intelligent algorithms were summarized, easy to introduce and analyze various types of smart algorithm, using intelligent algorithms to solve engineering problems.)

在matlab中实现直方图均衡化操作及直方图匹配操作，自编代码实现运算(Histogram equalization and histogram match.)

对傅里叶变换的理解和matlab程序实现(Fourier transform matlab program to achieve understanding and)

CDMA程序，包括DS扩频等，个人觉得还不错。(CDMA procedures, including the DS spread spectrum, etc., individuals feel good.)

基于能量分离语音，声场景方面的。其实是更好的分段，算是预处理吧(Based on the energy separation of voice, sound and scene.)

matlab Simulation program to realize OQPSK transmission system

This paper describes two digital implementations of a new mathematical transform, namely, the second generation curvelet transform [12, 10] in two and three dimensions. The first digital transformation is based on unequally-spaced fast Fourier transforms (USFFT) while the second is based on the wrapping of specially selected Fourier samples. The two implementations essentially differ by the choice of spatial grid used to translate curvelets at each scale and angle. Both digitaltransformations return a table of digital curvelet coefficients indexed by a scale parameter, anorientation parameter, and a spatial location parameter. And both implementations are fast in the sense that they run in O(n2 log n) flops for n by n Cartesian arrays in addition, they are also invertible, with rapid inversion algorithms of about the same complexity.

Matlab function to generate a random vector with entire values without repetition.