MIMO_capacity

plot the contour z of an image source code

Matlab计算机模拟的源代码，希望对大家有用(Matlab)

matlab编写的伪随机序列发生器，包括小m序列、大M序列，gold序列(pseudo-random sequence generator matlab prepared, including a small m sequence, M sequences, gold sequences)

介绍了多用户检测中遇到的相关问题及引起这些问题的原因，在此基础上提出自己的想法...(It introduce some related problems of MUD and the reasons which result in these problems.At the foundation of these reasons,I advance my personal ideas...)

本程序实现了DFE下的rake接收机，程序简单易懂，极具逻辑性，相信很适合通信专业的人士学习(This program realises the DFE rake receiver,which is very clear and easy to understand. Definitely, this is appropriate for anyone who majored in telecommunication)

说明：  BAM是一种两层的异联想，内容可寻址存储器组成的反馈网络。 分类：离散，连续 和自适应BAM等。 1987年和1988年由Kosko提出的BAM型。 网络运行是双向的。对网络的一端输入信号，则可在另一端得到输出，该输出又反馈回来，经过多次反复，直到网络达到稳态为止(BAM is a two-tier Heteroassociation, content addressable memory component of the feedback network. Classification : discrete, continuous and adaptive BAM other. In 1987 and 1988 by the BAM Kosko type. The operation of the network is a two-way. The network side input signal can be received at the other end output, the output feedback to come back again, repeatedly, until the network reached so far Steady)

k-means clustering : Pattern Recognition

电磁波、声波或地震波等数值模拟中常常会用到有限差分法，但是很多文章都只是泛泛而谈时间2阶，空间4阶等等如何用公式，本文给出了任意阶精度的泰勒展开与迭代公式。(Numerical simulation of electromagnetic, acoustic or seismic waves will often use the finite difference method, but many articles are just generalities time two bands, space, etc. How to order 4 formula, this paper presents the accuracy of any order Taylor expansion and iterative formula.)

matlab代码，CN 算法求解非线性薛定谔方程，并且衍射积分(matlab code, CN algorithm for solving nonlinear Schrodinger equation, and the diffraction integral)

程序提出了一种基于人群混合算法，是粒子群优化和引力搜索算法的组合。主要目标提高整合PSO和GSA算法的能力(Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) A new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). The main idea is to integrate the ability of exploitation in PSO with the ability of exploration in GSA to synthesize both algorithms’ strength. Some benchmark test functions are used to compare the hybrid algorithm with both the standard PSO and GSA algorithms in evolving best solution.)