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factor of 32, with acceptable quality.What are the principles behind compression?A common characteristic of most images is that the neighboring pixels are correlated and therefore contain redundant information. The foremost task then is to find less correlated representation of the image. Two fundamental components of compression are redundancy and irrelevancy reduction. Redundancy

hht（希尔伯特黄变换）的matlab工具箱，其中包括时频分析工具箱(hht (Hilbert-Huang Transform) of the matlab toolbox, including the time-frequency analysis toolbox)

Image Bit plane slicing

百慕达期权的MonteCarlo模拟，MonteCarlo广泛应用于各种期权定价模拟等过程(Bermuda option MonteCarlo simulations, MonteCarlo widely used in option pricing simulation processes)

采用Landweber方法进行反卷积，迭代次数需要自己设定(deconvolution with Landweber)

说明：  应用小波理论进行模态分析，求出固有频率和阻尼比(modal analysis use the wavelet method)

lu decomposition using matlab programing

基于自适应卡尔曼滤波的盲多用户检测算法 论文(Blind Multi user Detection Algorithm Based on Adaptive Kalm an Filter)

Patterns of Enterprise application architecture

多核学习的学术论文,对深入了解和学习多核的爱好者提供帮助(Multiple Kernel Learning papers)