matlab-(2)

RLS 算法功能的基本实现，有兴趣者会受益匪浅的(RLS algorithm to achieve the basic function, will benefit those interested in the)

说明：  QPSK解调的 MATLAB 实现 包括原chengxu和仿真(QPSK demodulation of the MATLAB implementation)

通信原理上机实验_基于MATLAB的模拟幅度调制解调系统_AM调制解调系统程序代码(Machine on communication theory based on MATLAB simulation experiments _ amplitude modulation and demodulation system _AM code modulation and demodulation system)

该程序为matlab环境下程序，主要演示用中位点法生成分形曲面，通过三角形的不断被子分而整个表面弄成皱折，产生类似于山脉的形状——分形山。(The program for the matlab environment procedures, the main demonstration site used in the composition of the Law of Health-shaped surface, through the continuous triangle quilt divide and the entire surface of face wrinkles, resulting in similar to the shape of mountains- Fractal Hill.)

无约束优化程序解决数值优化问题。在优化算法中有重要作用。(Optimization procedures for solving numerical optimization problems. In the optimization algorithm has an important role.)

A general technique for the recovery of signicant image features is presented. The technique is based on the mean shift algorithm, a simple nonparametric pro- cedure for estimating density gradients. Drawbacks of the current methods (including robust clustering) are avoided. Feature space of any nature can be processed, and as an example, color image segmentation is dis- cussed. The segmentation is completely autonomous, only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro- vide, by extracting all the signicant colors, a prepro- cessor for content-based query systems. A 512  512 color image is analyzed in less than 10 seconds on a standard workstation. Gray level images are handled as color images having only the lightness coordinate(A general technique for the recovery of sig ni cannot image features is presented. The techni que is based on the mean shift algorithm, a simple nonparametric pro-cedure for estimat ing density gradients. Drawbacks of the curren t methods (including robust clustering) are av oided. Feature space of any nature can be proces sed, and as an example, color image segmentation is dis-cussed. The se gmentation is completely autonomous. only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro-vide. by extracting all the signi cannot colors, a prepro- cessor for content-based query syste ms. A 512,512 color image is analyzed in less than 10 seconds on a standard workstation. Gray 4ISR l images are handled as color images having only the lightness c)

enjoy with studying but not with this

SRM ,Dynamic model of a swithce reluctanc emotor.

This is a Hybrid PSO GSA Aigorithm.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.

计算天线阵列远场方向图，支持各种幅度加权，相位加权，可自行指定阵元方向图(calculate the farfield of an antenna array with various degrees of freedom)