RFSC

This program compress and recostruct using wavelets. We can select level of decomposition(here maximum 4 levels are given) of images using selected wavelet. For eg:-wavelets can be haar, db1, db2,dmey............... Decomposition can be viewed in figure. (Please note that select 256X256 image for better result.) Then compression can performed, PERFL2 give compression score. Then reconstruction can be performed. Each decompsition we can choose different threshold values. For each threshold value we can calculate mse,psnr,pq(picture quality), bit ratio etc. To get pq install pqs function . (This program compress and recostruct using wavelets. We can select level of decomposition (here maximum 4 levels are given) of images using selected wavelet.For eg:-wavelets can be haar, db1, db2, dmey ........ ....... Decomposition can be viewed in figure. (Please note that select 256X256 image for better result.) Then compression can performed, PERFL2 give compression score.Then reconstruction can be performed.Each decompsition we can choose different threshold values . For each threshold value we can calculate mse, psnr, pq (picture quality), bit ratio etc. To get pq install pqs function.)

reed solomon coding and encoding

基于matlab的倒车模糊控制器设计，避免 死区 问题(Matlab fuzzy controller based on the reverse design, to avoid the ‘dead zone’ problem)

极大似然函数的matlab程序，说明极值分布比最小二乘的优越性(Maximum likelihood function of the matlab program)

数字滤波器的MATLAB设计与DSP上的实现(Digital Filter Design with MATLAB DSP Implementation)

Billcrux_phil ( item mall) date base tantraonline

Audio filter for Matlab How is it working? 1) Take the current samples and some previous samples (which previously had been stored) for multiplied by a factor defined. 2) Take the output values in past moments and multiply by other factors. 3) Finally, all the results of all these multiplications are added, giving an outlet to the current moment.

ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。 基本思想： 在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。 (Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach. Basic idea: The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions. After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour. Literature: - Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I)

土木工程分析结构地震作用的多自由度动力时程分析程序(Dynamic analysis program)

排队论的最基本模型，MM1型。简单的小程序，注释清楚，方便理解。(The most basic model of queuing theory, MM1 type. Simple procedure, comments clear, easy to understand.)