Robot-simulation-matlab

说明：  开关电源SPICE第三章的全部仿真电路。对直流和交流仿真出色(Switching Power Supply SPICE simulation circuit all of Chapter III. Excellent DC and AC simulation of)

matlab adaptive filter project codes

完整的基于HMM的语音识别系统，matlab编写的元胞自动机，合成孔径雷达（SAR)目标成像仿真。( Complete HMM-based speech recognition system, matlab prepared cellular automata, Synthetic Aperture Radar (SAR) imaging simulation target.)

NMEALINEREAD reads an NMEA sentence into a MATLAB structure array

说明：  用于求解线性规划、整数规划、非线性规划、混合规划等标准优化问题以及LMI(For solving standard optimization problems such as linear programming, integer programming, non-linear programming, mixed programming and LMI)

this is the algorithm that use to array processing too produce beam pattern

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.)

用matlab仿真k分布雷达杂波，并进行处理(K-distribution radar clutter processing)

VC MATLAB 混编示例 ppWizard has created this matlab调用 application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application. This file contains a summary of what you will find in each of the files that make up your matlab调用 application.(ppWizard has created this matlab调用 application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application. This file contains a summary of what you will find in each of the files that make up your matlab调用 application.)

8 functions for histogram thresholding: intermeans, iterative intermeans, intermode, minimum, minerror, entropy, triangle and moments.