基础的PSO算法

分四种情况实现fft 分别是时间抽取递归 、时间抽取循环、频率抽取递归和频率抽取循环 以及附带dft的算法描述(Fft realize sub-four cases were collected recursive time, time taken from the cycle, frequency and frequency of samples taken from recursive cycle, as well as incidental DFT algorithm described)

It is an important ebook for who teach multisim software.It consists of total 20 chapters.

This program evaluates the analytical first and second (if approx=2) derivatives of f numerically. The parameters and steady state values of the arguments of the function f are assumed to be in the workspace

说明：  基于遗传算法的矩量法计算程序，用于优化天线结构(Based on genetic algorithm method of moments computer program for optimization of antenna structure)

A time series Lyapunov exponent estimation for small data set

经典的隐写算法，包括LSB替换和随机LSB匹配。对于实现简单的信息隐藏最常用的方法，具体用matlab实现。(This is LSB steganography, it includes LSB replacement and random LSB matching. it is most common method for information hiding, and it implement with matlab)

说明：  要：分析和研究了授权用户和认知用户共享频谱的一种算法的性能。 针对阴影效应或信道深衰落时，单用户频谱感知算法无法识别是频带未被 使用还是信道处于深衰落的情况，在频谱感知功率控制算法上进行了改进， 以克服这种算法的不足。改进后的算法能有效地控制认知用户的发射功率， 避免对授权用户产生有害的干扰。仿真结果表明改(To: analysis and research of the authorized users to share spectrum users and a cognitive performance of the algorithm. For the shadow effect or deep fading channel, the single-user spectrum sensing algorithm can not identify a band or a channel has not been used in the case of deep fading, the spectrum sensing power control algorithm has been improved on, to overcome the deficiencies of this method. The improved algorithm can effectively control the cognitive user' s transmit power, to avoid harmful interference with authorized users. Simulation results show that the change)

机器人V形焊缝图像识别过程中，用于消除不连续的白线(In the Robot v-shaped weld image recognition process, for the elimination of discontinuous white line )

　Kmeans 算法是聚类分析中使用最为广泛的算法之一，其每个类别均用该类中所有数据的平均值(或加权平均)来表示，这个平均值即被称作聚类中心。该方法虽然不能用于 类别属性的数据，但对于数值属性的数据，它能很好地体现聚类在几何和统计学上的意义。(Kmeans algorithm is the most widely used cluster analysis algorithm, each category with the average of all data in the class (or weighted average) to represent the average is known as the cluster center. Although this method can not be used The class attribute of the data, but data for numeric attributes, it can well reflect the significance of clustering on the geometry and statistics.)

与DFT扩展OFDMA信号的CCDF和PAPR OFDM信号的CCDF没有PAPR降低技术 一个QPSK/ OFDM系统的峰均功率比和BER分析 限幅滤波技术 (CCDF and PAPR of an OFDMA signal with DFT spreading CCDF of OFDM signal without PAPR reduction technique PAPR and BER analysis of a QPSK/OFDM system with the clipping and filtering technique )