paper_J22

pso程序的源代码 pso程序的源代码-粒子群优化算法源程序 作者：FashionXu 一个pso程序的源代码。在vc.net2003下面通过。 建议：看代码之前，请先弄明白pso是怎么回事。然后请对应着来：程序中用Agent代表一只鸟，PSO代表鸟群。阅读源代码，不要顺着看，先看main(),然后按照出现的东西的顺序，一个一个得来，呵呵，纯粹是建议。(program s source code pso pso program s source code - source code on Particle Swarm Optimization: FashionXu a pso program source code. In vc.net2003 following through. Recommendation: look at the code before you figure out how the matter pso. Then please correspond to: Program using Agent on behalf of a bird, PSO representative of the flock. Read the source code, do not look down, look at the main (), then follow the order of things there, one by one, come, Oh, merely suggestions.)

analog modulation and coding technique

自编的倾斜岩层的合成地震记录。最终生成图像。地球物理与地震学。(Synthetic seismograms tilted strata of self. The resulting image.)

数字信号处理实践方法，从一到三囊括了数字信号处理的模数变换、DFT变换、Z变换、滤波器设计等(Digital signal processing practices, from 1-3 to include digital signal processing of analog-to-digital transformation, DFT transform, Z transform, filter design, etc.)

ICA Clustering In computer science, Imperialist Competitive Algorithm (ICA)[1] is a computational method that is used to solve optimization problems of different types. Like most of the methods in the area of evolutionary computation, ICA does not need the gradient of the function in its optimization process. From a specific point of view, ICA can be thought of as the social counterpart of genetic algorithms (GAs). ICA is the mathematical model and the computer simulation of human social evolution, while GAs are based on the biological evolution of species

说明：  双目机器视觉在行车中的测距及定位应用 (Binocular vision in the road in the distance and location-based applications)

simple reduce features used in face recognition using PCA

DQPSK仿真程序，包含调制解调、性能分析(DQPSK simulation program, including modulation and demodulation, performance analysis)

一些关于turbo码的matlab仿真文章、论文等(About turbo codes matlab simulation papers, theses, etc.)

匹配追踪工具包（MPTK）提供了快速实现匹配追踪算法的多通道信号的稀疏分解。它包括一个C + +库，独立的命令行实用程序，还有一些脚本运行它，并通过Matlab的绘图结果。(The Matching Pursuit Tool Kit (MPTK) provides a fast implementation of the Matching Pursuit algorithm for the sparse decomposition of multichannel signals. It comprises a C++ library, standalone command line utilities, and some scripts for running it and plotting the results through Matlab.)