doppler

computation for fourier horn in ultrasonics design

encoding of iris and its recognition using matlab

Fisher、H-K、Perceptron算法实现线性判别函数(Fisher, HK, Perceptron algorithm linear discriminant function)

运用卡尔曼滤波的知识，给带有噪声的语音信号去噪，变平滑。(Noise reduction by Calman filtering)

Good book about Matlab and optics

Matlab code that implements Runge-Kutta Method in the context of Differential Codes.

CAPM代码，资本资产定价模型在Matlab中的实际应用。(Capital Asset Pricing Model with Missing Data)

这个算子算是图像历史上第一个特征点提取算法了，1977年提出的，很简单，拿来练手很合适。(This operator is the first feature point extraction algorithm in the history of the image. It was proposed in 1977. It is very simple and suitable for hand training.)

GloptiPoly 3: moments, optimization and semidefinite programming. Gloptipoly 3 is intended to solve, or at least approximate, the Generalized Problem of Moments (GPM), an infinite-dimensional optimization problem which can be viewed as an extension of the classical problem of moments [8]. From a theoretical viewpoint, the GPM has developments and impact in various areas of mathematics such as algebra, Fourier analysis, functional analysis, operator theory, probability and statistics, to cite a few. In addition, and despite a rather simple and short formulation, the GPM has a large number of important applications in various fields such as optimization, probability, finance, control, signal processing, chemistry, cristallography, tomography, etc. For an account of various methodologies as well as some of potential applications, the interested reader is referred to [1, 2] and the nice collection of papers [5].(GloptiPoly 3: moments, optimization andsemidefinite programming.Gloptipoly 3 is intended to solve, or at least approximate, the Generalized Problem ofMoments (GPM), an infinite-dimensional optimization problem which can be viewed asan extension of the classical problem of moments [8] . From a theoretical viewpoint, theGPM has developments and impact in various areas of mathematics such as algebra, Fourier analysis, functional analysis, operator theory, probability and statistics, to citea few. In addition, and despite a rather simple and short formulation, the GPM has alarge number of important applications in various fields such as optimization, probability, finance, control, signal processing, chemistry, cristallography, tomography, etc. For anaccount of various methodologies as well as some of potential applications, the interestedreader is referred to [ 1, 2] and the nice collection of papers [5].)

为了避免直接对rgb图像处理时出现颜色失真，常把彩色图像由rgb空间转为hsv空间，完成相应处理后，再逆变换至rgb空间。(In order to avoid image processing directly on the rgb color distortion occurs, often the color image from the rgb space into hsv space to complete the appropriate treatment, and then inverse transform to the rgb space.)