Parametric-Methods

这是matlab代码，可用于转换rgb图像为yuv图像。(It is matlab code, which can convert rgb image to yuv image.)

提出一种两阶段的奇异点检测方法。将指纹图像分块，求出各块的方向构成块方向图，并在块方向图的基础上利用邻域方向的分 布分析结合改进的Poincare Index方法来确定奇异点所在的候选区域，对候选区域中的像素再通过计算局部方向变化率来确定奇异点的精 确位置。将此方法用于对FVC2004 DB1_A指纹数据库的图像，实验结果表明这种方法对指纹图像中的噪声有很好的鲁棒性，并且计算简 单快速，易于实现。 (A two-phase singularity detection. Fingerprint image block, calculate the direction of each block constitute a block pattern, and pattern in the block based on the use of the distribution of the direction of the neighborhood together with the improved Poincare Index method to determine the singular point where the candidate regions of the candidate region of pixels re-calculated to determine the rate of change of local direction of the precise location of singular points. This method is used to FVC2004 DB1_A fingerprint database of images, experiments show that this method of noise on the fingerprint image has good robustness and computing simple and fast, easy to implement.)

根据型值点反算NURBS曲线的控制点及权因子，正确拟合nurbs曲线(About NURBS curve fitting)

光学工程类Matlab模拟程序，模拟了2N个透镜阵列的成像(Optical Engineering Matlab simulation program to simulate a lens array of imaging 2N)

说明：  模式识别中边缘直方图特征提取。。。。每张图片可以得到 一个80维的向量(Pattern Recognition Feature Extraction of Edge Histogram. . . . Each picture can get a 80-dimensional vector)

可转债论文，研究定价，模型，方法，赎回，回售等(This thesis is devoted to evaluating two-factor convertible bonds. Di® erent zero- coupon bond curves are inputted when evaluating convertible bonds issued by com- panies with di® erent credit ratings. Thus the e® ect of the company s credit on the price of the convertible bond is easily and accurately included during the computa- tion. In the model for the interest rate, the parameters in the variance are determined from the market data by statistics and the market price of risk is determined by a zero-coupon bond curve through solving an inverse problem. When we price the con- vertible bond, a free-boundary problem is solved. A Singularity-Separating Method (SSM) is proposed in order to solve this problem e±ciently. Taking the market data)

1. Extract files and run Audio_denoise_main.m file folder... 2. Click on Load & play Audio file and Original sound.wav file 3. Then using slider AWGN (White gauusion noise)...it is vary 1 to 10 set it to 10.. 4. now click on Add Noise and play... 5. u can save noisy signal by save noisy signal tab... 6. now wavelet... 7. thresholding.. 8. now click on Denoise and play....wait for some time...this will take 25 sec time 9. now save that denoised signal...and record all output parameters... 10. now click on clear all and exit

matlab讲义，非常好的MATLAB入门资料 (matlab notes, very good introductory information on MATLAB)

matlab的经典案例，小程序，适用于初学matlab的同学(matlab classic cases for student who are learning matlab)

关于EMD HHT LMD EEMD 的论文，讲解详细(a paper contains EMD HHT LMD EEMD)