BWT

一种改进的方案，它针对硬故障集的特点利用指示频率连续长度码(FDR码)进行二次编码压缩。该方法充分利用测试集中无关位较多而测试模式之间变化位较少的特征，应用贪心算法对预先计算的测试集进行了重新排序，尽可能的使相邻的向量间具有最少的不同位，排列成一个最佳的差分向量序列，然后应用FDR码对差分向量序列进行编码,最后对压缩结果重新分块，按照一次压缩的流程进行二次压缩。在解压时，使用片上解压电路解压，能高效地还原出原测试集。最后通过对Soc部分标准电路硬故障集的测试结果显示，本方案具有较好的压缩率。(a new improved method was proposed in the paper,the method using Frequency-Directed Run-length(FDR codes)coding for the twice aimed at hard-fault. It fully takes advantage of the characters that there are many don’t-care bits in the test set but a few different bits between the test patterns, Then it applies the greed calculate way to sort the precomputed test sets and make the close together vector have the least different sites possibly. It uses the FDR codes to coding the vectors,then blocks the results and uses the FDR codes to compress for the second time. Decompression used of on-chip circuit extract unpack,it will be deoxidize the original test efficient.using the hard-fault to compress and the experimental results prove that the improved coding method of this paper has the better compression ratios has been proved at last. )

用于开发Windows Mobile的参考源程序(Windows Mobile for the development of a reference source)

粒子群优化算法 改进粒子群优化算法的典型例子 易懂易学(Particle swarm optimization algorithm A typical example of improved particle swarm optimization algorithm is easy to understand)

说明：  huffman编码，根据输入进行权重计算并编码，还实现了解码。(Huffman coding, according to the input weight calculation and coding, but also achieve decoding.)

这是关于图象压缩的程序，包括有损压缩或无损压缩两类。用的是jpeg2000的压缩标准，但是这是jpeg2000的第一部分(This is the image compression procedures, including lossy compression or lossless compression of two categories. Using the JPEG2000 compression standard, but this is the first part of JPEG2000)

连续隐马尔可夫模型hmm的matlab程序(Continuous Hidden Markov Model of matlab procedures hmm)

压缩感知的几种算法算法,帮助更深入了解压缩感知算法(Compressed Sensing)

说明：  DMC动态矩阵控制算法DMC动态矩阵控制算法DMC动态矩阵控制算法DMC动态矩阵控制算法

说明：  对信源数据，即exam，采用算术编码进行信源压缩编码(Source of data, that is, exam, using arithmetic coding for source compression coding)

交叉熵实现多元高斯混合模型优化的源代码，供大家学习使用(Realize cross-entropy optimization of multi-Gaussian mixture model of the source code for the U.S. study the use of)