PSO_BP

Process a binary data stream using a communication system that consists of a baseband modulator, channel, and demodulator. Compute the system s bit error rate (BER).

MIMO-OFDM系统信道估计算法研究(LS,LMMSE),对受加性高斯白噪声干扰，多径效应影响的信号，仿真研究MIMO-OFDM的性能(A Study on the Channel Estimation Algorithms of MIMO-OFDM System)

模糊控制的程序。一，对样本进行聚类分析，以此来确定模糊规则个数。二，利用K-means法对样本聚类。三，参数修正过程。(The example of fuzzy control)

说明：   编写时间2009年2月24日第1次 以后以此区别修改版本!!! ---------频域传递公式推导------------ 变量说明:zn1 zn2:分别为左塔和右塔阻尼比 w1式起重机w1 w2:左塔和右塔固有频率 w01 w02 wc分别连体左支座、右支座、连体自振频率 zn01 zn02 分别为连体左支座、右支座的连接阻尼比 非对称双塔连体结构 主要考虑支座连接频率比的变化结构反应功率谱曲线( Write time, February 24, 2009 1st after a modified version of this distinction!!! --------- Frequency-domain transfer formula derivation------------ variable Description: zn1 zn2: respectively, the left and right tower tower damping ratio w1 crane w1 w2: the left and right tower tower natural frequency w01 w02 wc Siamese left bearing, respectively, the right bearing, Siamese natural frequency zn01 zn02 Siamese respectively, bearing left and right bearing link damping ratio non-symmetrical structure Siamese twin towers bearing the main consideration changes in the ratio of the structure connecting the frequency response curve of the power spectrum)

说明：  这是个利用粒子群算法(PSO)优化PID控制器参数的matlab程序，其中选取的性能指标为ITAE。(this is the use of particle swarm algorithm (PSO) PID controller optimized parameters of Matlab procedures, these performance indicators selected for ITAE.)

广义预测控制的学习ppt 预测控制的学习 模型算法 (gpc ppt)

Non-Extensive entropy with Gaussian Information Gain for identifying and classifying regular textures which contain repetitive patterns correlated over space that translates to high probabilities in the gray level co-occurrence matrix

滤波器耦合矩阵综合与提取，内附参考文章 General Coupling Matrix Synthesis Methods（j.carmon）(General Coupling Matrix Synthesis Methods（j.carmon）)

使用matlab语言设计的，跳频扩频通信系统仿真程序。(use Matlab language design, frequency hopping spread spectrum communication system simulation program.)

该压缩包包含计算l1范数的最优化问题及使l1还原数据(Computing l1 norm optimization problem)