LDPCperformance

经典huogh变换和改进的hough变换(standard hough trans and the improved hough transform)

无刷双馈电机模型，其模型为S函数，另外还有矢量控制模型，但模型还不够完善，尚需改进(The brushless doubly fed motor and vector control simulation model)

该程序实现时域LMS算法，并用统计的方法仿真得出不同步长下的收敛曲线(Implementation of the procedure time-domain LMS algorithm, and simulation statistics do not come under the simultaneous convergence of a long curve)

说明：  005小波变换及其MATLAB工具的应用(005 DWT and MATLAB application tools)

matlab在计算科学，自然科学，社会科学等多方面都有很多应用，本文以matlab为工具，主要研究它在处理语音信号方面的应用。(matlab in computational science, natural science, social science and other aspects have many applications, this paper matlab as a tool in dealing with the major study of its application of voice signals.)

只是一个关于用共轭梯度下降算法处理数据的程序，本程序处理的数据对象为MINST,该程序在线性搜索上有很好的效果(Only one on the use of conjugate gradient descent algorithm data processing procedures, the procedures for processing the data object is MINST, linear search for the program have a good effect on)

生成samples.mat文件的相关源程序。需要一百个wav文件输入。(The relevant source files generated samples.mat. Need a hundred wav file input.)

This paper addresses the problem of segmenting an image into regions. We defi ne a predicate for measuring the evidence for a boundary between two regions using a graph-based representation of the image. We then develop an effi cient segmentation algorithm based on this predicate, and show that although this algorithm makes greedy decisions it produces segmentations that satisfy global properties. We apply the al-gorithm to image segmentation using two diff erent kinds of local neighborhoods in constructing the graph, and illustrate the results with both real and synthetic images. The algorithm runs in time nearly linear in the number of graph edges and is also fast in practice. An important characteristic of the method is its ability to preserve detail in low-variability image regions while ignoring detail in high-variability regions.

支持向量机以统计学习理论作为坚实的理论依据，借助优化方法解决及其学习的一种新工 具.近年来，支持向量机受到人们的广泛关注，在理论研究和算法实现方面都有了很大的突 破，成为现代机器学习的热点课题.(Support vector machine(SVM)is a new approach that can solve machine learning problem with optimization methods. In recent years,there has been a surge of interest in SVM.It has achieved a prodigious progress in the theory research and algorithm implement, thus has been an active research area in machine learning)

papr reduction in ofdm