pdf-of-matlab-and-some-procession-

SOM training algorithm

MDCT s program. Can be used with matlab software. Easy to compilate.

松下公司的MINAS-A5使用手册综合版，可以学习一下(Panasonic MINAS-A5 Manual Comprehensive Edition, you can learn about)

锅炉气泡水控制,可实现锅炉水位的模拟仿真，效果明显(control)

Transient Overvoltage in Power System

用matlab画圆( create circle)

经典的music同步代码，可用于3GLTE下行时频同步计算，很有用的资料额。。(a very commom synchronization method named as MUSIC,used for 3GLTE downlink timing and frequency sychronization ,it s useful.)

zybo的DDC用法,将的比较详细的一个好用文档(Zybo DDC usage, will be more detailed a useful document)

说明：  文章简要介绍了模糊控制的概念和特点，并对模糊控制的原理作了说明，较详细的介绍了模糊控制的现状，包括模糊PID控制、自适应模糊控制、神经模糊控制、遗传算法优化的模糊控制、专家模糊控制等，最后对模糊控制的发展作了展望。(This paper briefly introduces the concept and characteristics of fuzzy control, and fuzzy control principle is illustrated in more detail the status of the fuzzy control including fuzzy PID control, adaptive fuzzy control, neural fuzzy control, genetic algorithm optimization of fuzzy control, expert fuzzy control, the last of the fuzzy control prospects of development.)

This paper presents a new approach to image segmentation using Pillar K-means algorithm. This segmentation method includes a new mechanism for grouping the elements of high resolution images in order to improve accuracy and reduce the computation time. The system uses K-means for image segmentation optimized by the algorithm after Pillar. The Pillar algorithm considers the placement of pillars should be located as far from each other to resist the pressure distribution of a roof, as same as the number of centroids between the data distribution. This algorithm is able to optimize the K-means clustering for image segmentation in the aspects of accuracy and computation time. This algorithm distributes all initial centroids according to the maximum cumulative distance metric. This paper evaluates the proposed approach for image segmentation by comparing with K-means clustering algorithm and Gaussian mixture model and the participation of RGB, HSV, HSL and CIELAB color spaces.