bd

分数阶统一混沌系统同步程序可实现分数阶混沌系统同步，对研究分数阶系统非常有用(synchronizing fractional unied chaotic system realize synchronzation fractional unied chaotic)

该方法采用gabor提取纹理特征，最后采用k-means方法聚类进行图像分割(The method uses gabor texture features extraction, and finally using k-means clustering methods for image segmentation)

EEG FEATURE EXTRACTION

关于数字水印的matlab代码，对初学者有很大帮助，也可以拿来做毕业设计的资料(On digital watermarking matlab code, very helpful for beginners, but also can be used to do graduate design)

his program calculates integral of f(x) using Composite Simpson rule.

MATLAB环境下的Simulink仿真平台，构建PCM编码与解码电路图，对模拟信号进行采样、量化、编码, 将编码后的信号输入信道再进行PCM解码，还原出原信号.建立仿真模型,分析仿真波形。(MATLAB environment Simulink simulation platform to build PCM encoding and decoding circuit diagram of the analog signal is sampled, quantization, encoding, the encoded signal input letter Road and then the PCM decoding, restore the original signal. Establish simulation model, analyze simulation waveforms.)

生成调制信号数据集 信号集包括2ASK，2PSK，2FSK，4ASK，4PSK，4FSK，8ASK，8PSK，8FSK，16QAM，64QAM，信号比范围-20db至18dB，调制到中频。 信号参数 符号率fb：1e3 载波频率fc：2e3 采样频率fs：64e3 信号频道：awgn，rayleigh(Generating Modulation Signal Data Set Signal sets include 2ASK, 2PSK, 2FSK, 4ASK, 4PSK, 4FSK, 8ASK, 8PSK, 8FSK, 16QAM, 64QAM, signal ratio range - 20 dB to 18dB, modulated to intermediate frequency.)

潮流程序，多初学入门者很好使，，分了多个模块，每个模块均有说明 (Trend of the program, more than the novice beginners to very good make, and divided into multiple modules, each module has a description of)

this file talk about bit error rate

Rosenbrock函数优化属于无约束函数优化问题，其全局极小值位于一条平滑而狭长的抛物线形状的山谷底部，且为优化算法提供的信息很少，因此找到其全局极小值就显得很困难。根据Rosenbrock函数的这种特性，专门提出了一种改进的PSO算法，该算法引入三角函数因子，利用三角函数具有的周期振荡性，使每个粒子获得较强的振荡性，扩大每个粒子的搜索空间，引导粒子向全局极小值附近靠近，避免算法过早地收敛，陷入局部最优，从而找到Rosenbrock函数的全局极小值。大量实验结果表明，该算法具有很好的优化性能，为某些领域某些特定的类似于Rosenbrock函数的优化问题提供了一种新的思路。(Rosenbrock function optimization functions are unconstrained optimization problems, its global minimum value at a smooth parabolic shape and narrow mountain valley Department, and for the optimization algorithm provides little information, and therefore find its global minimum value becomes very difficult. According to this feature Rosenbrock function, specifically mentioning Out an improved PSO algorithm (PSO-R), the algorithm introduced trigonometric factor, using trigonometric has periodic oscillations, so that each particle to obtain more Strong oscillations of expanding the search space of each particle, the particle is close to nearby guide global minimum, avoiding premature convergence algorithm, into a local optimum, thus Finding the global minimum Rosenbrock function. Experimental results show that the algorithm has a good optimizing performance, similar to some certain areas Rosenbrock function in the optimization problem provides a new way of thinking.)