sound

这个程序是关于matlab7中GADS工具箱的使用例程，比较有特点。(This process is about the GADS toolbox matlab7 in the use of routines, the more characteristics.)

mathews数值分析书的源代码，用matlab编写，第一章部分的源代码。(mathews numerical analysis of the book' s source code, using matlab, part of the first chapter of the source code.)

阵列信号处理的高分辨率估计，有CDF三角函数曲线/三维曲线图，能量熵的计算，Matlab实现界面友好，结合PCA的尺度不变特征变换(SIFT)算法，调试通过可以使用。( High-resolution array signal processing estimates, There CDF trigonometric curve/3D graphs, Energy entropy calculation, Matlab to achieve user-friendly, Combined with PCA scale invariant feature transform (SIFT) algorithm, Debugging can be used.)

对语音进行的时频分析,语音识别技术作为信息社会朝着智能化和自动化方向发展的关键技术之一，具有重要的研究意义和实用价值。经过近五十年的艰苦探索和研究，语音识别技术研究获得了极大的发展，其中有些比较成熟的技术已经逐步应用于日常生活中。但总体来说，语音识别在研究和实用化方面的难度还比较大。本文概括介绍了语音识别技术的全貌，所采用的关键技术、具体应用以及当前所面临的困难,并对单个语音样本在MATLAB上进行了仿真分析。(right voice for the time-frequency analysis Speech recognition technology as the information society towards automation and intelligent direction of one of the key technologies. The study has important significance and practical value. After nearly 50 years of painstaking study and research, speech recognition technology is a great development, Some of the more mature technologies have gradually applied to daily life. But on the whole, the speech recognition research and the practical difficulty is relatively large. This paper introduces voice recognition technology landscape and the use of key technologies, specific application and the current difficulties faced by, as well as samples in a single voice on the MATLAB simulation analysis.)

说明：  finding azimote geomatic students matlab code

Power Buider Filter for PB 10

说明：  经典无网格教程的随书算法的例程，属于第三章例程(Classical meshless algorithm tutorial routines with books, belonging to the third chapter routines)

to read the image and crop the specified area to convert RGB image next to convert gray scale image to find the histogram equalization

relief 特征选择 机器学习 数据挖掘 特征权重(Relief feature selection machine learning data mining feature weights )

利用卡尔曼滤波估计锂离子电池的SOC状态，可以达到良好的效果，误差很小。(Using Kalman filter to estimate SOC state of lithium-ion battery and it can achieve good results with little error.)