qtdecomp_var

Addison Wesley出版的一本深入讲解c++面向对象编程机理的书，对于c++程序员进一步全面了解面向对象机制的好书。书中有丰富的程序实例和解读。英文版(Inside the C++ Object Model focuses on the underlying mechanisms that support object-oriented programming within C++: constructor semantics, temporary generation, support for encapsulation, inheritance, and "the virtuals"-virtual functions and virtual inheritance. This book shows how your understanding the underlying implementation models can help you code more efficiently and with greater confidence. Lippman dispells the misinformation and myths about the overhead and complexity associated with C++, while pointing out areas in which costs and trade offs, sometimes hidden, do exist. He then explains how the various implementation models arose, points out areas in which they are likely to evolve, and why they are what they are. He covers the semantic implications of the C++ object model and how that model affects your programs..)

to understand the Algorithm go to matlab help in page dct2 and idct2 to get the mathematical expression for M = N = 8, we can calculate the most of hard values and save it as LUTs to speed up the execution now compare our special 8X8 functions with the internal general functions use this code: A = int32(100*rand(8,8)) tic for i = 1 : 1000 IDCT_8X8(DCT_8X8(A)) end toc tic for i = 1 : 1000 idct2(dct2(A)) end toc i had built the general functions too, but with low speed (to understand the Algorithm go to matlab help in page dct2 and idct2 to get the mathematical expressionfor M = N = 8, we can calculate the most of hard values and save it as LUTs to speed up the executionnow compare our special 8X8 functions with the internal general functionsuse this code: A = int32 (100* rand (8,8)) tic for i = 1: 1000 IDCT_8X8 (DCT_8X8 (A)) end toc tic for i = 1: 1000 idct2 (dct2 (A)) end toc i had built the general functions too, but with low speed)

主要讨论获得图片后如何提取其边界信息,首先利用图像灰度均匀化解决了对比度不清晰的问题,然后利用高斯滤波法对图片进行滤波去噪,进而利用Canny算法实现边缘检测提取边界,该方法与Matlab自带的求边界方法有明显的提高,为利用Matlab程序求图像分形维数提供了更精确的前提. 更多还原 (Mainly discuss how to get the picture after extracting its boundary information, the first use of the image contrast of the gray uniform solution to the problem is not clear, then use a Gaussian filtering method for image filtering noise, and then use Canny edge detection algorithm to extract the boundary, the method find boundary method comes with Matlab significantly improved procedures for the use of Matlab for image fractal dimension provides a more accurate premise. more reduction)

最优化 最速下降法 黄金分割法 DFP 乘子法(Optimization Steepest descent method)

介绍了ip传真的实现流程，以及在多种情况下的的实现过程(Describes the implementation flow ip fax, as well as in many cases the implementation process)

实现核ISOMAP算法,解决测试点问题和ROBUST问题(nuclear ISOMAP algorithm to solve problems and test questions Facility)

matlab about BA model

用来估计病态线性方程组正则化求解时的误差。(To estimate the error of regulation method for the ill-conditioned system of linear equations)

generate simple random fractals recursively

说明：  Matlab源程序；图形图像压缩；基于小波变换的研究与应用；(Matlab source code graphic image compression research based on wavelet transform and applications )