现代信号处理教程_胡广书

在MATLAB中用粒子群算法解决TSP问题。(use the particle swarm optimization(PSO) to solve the TSP problem。)

he power method will be applied to the jacobian matrix of the 2-D henon map to approximate the first Lyapunov exponent by creating a graph of ln|yn| vs. n, where n is the number of iterations of the power method and yn = 1/n*ln|DG^n(xo)*yo|. The slope will be an approximation to the largest Lyapunov exponent.(he power method will be applied to the jacob ian matrix of the 2-D map to approximate henon th e first Lyapunov exponent by creating a graph of ln | yn | vs. n, where n is the number of iterations of the power m ethod and yn = a/n* ln | DG ^ n (xo)* yo |. The slope w ill be an approximation to the largest Lyapunov exponent.)

关于matlab在游戏娱乐中的应用,例如:猫捉老鼠,俄罗斯方块,山寨版极品飞车等经典小游戏(Matlab in the game on the entertainment applications, such as: cat and mouse, the Russian box, cottage version of the classic games such as Need for Speed)

用VITEBI算法对信道输出解码。这个算法既能用于卷积码的软判决解码，也能用于硬判决解码(failed to translate)

传统的K-medoids聚类算法的聚类结果随初始中心点的 不同而波动，且计算复杂度较高不适宜处理大规模数据集； 快速K-medoids聚类算法通过选择合适的初始聚类中心改进 了传统K-medoids聚类算法，但是快速K-medoids聚类算法 的初始聚类中心有可能位于同一类簇。为了克服传统的K- medoids聚类算法和快速K-medoids聚类算法的缺陷，提出 一种基于粒计算的K-medoids聚类算法。(The traditional K-medoids clustering algorithm clustering results with different initial center points and volatility, and high computational complexity is not suitable for processing large data sets; K-medoids clustering algorithm by choosing proper initial cluster centers to improve the traditional K-medoids clustering algorithm, but the initial cluster center of K-medoids clustering algorithm can be located in the same cluster. In order to overcome the shortcomings of the traditional K- medoids clustering algorithm and the fast K-medoids clustering algorithm, a K-medoids clustering algorithm based on granular computing is proposed.)

scalablity and reliability in distributed IMS systems.

仿真正弦信号，加白噪声，利用n点平均移动实现对信号平滑处理(Sinusoidal signal simulation, white noise, the use of n-point moving average smoothing to achieve Signal)

说明：  LSSVN用于预测的程序，希望对初学者有帮助(LSSVN used to predict the program, want to help beginners)

minutiae-based matching algorithms in fingerprint recognition systems

计算信号的谱特性，包括频谱特征及功率谱特征。(Calculate the spectral characteristics of the signal, including spectral characteristics and power spectral features.)