登录
首页 » Python » css_code

css_code

于 2014-01-14 发布 文件大小:536KB
0 159
下载积分: 1 下载次数: 14

代码说明:

  关于压缩感知的一些代码,对初学者有很大的帮助,是一篇文献的仿真(some python code about comprehenssed sensing)

文件列表:

discreteAnalysis
................\.nfs000000000d2e012f00005d9b,6437,2012-09-28
................\.nfs000000000d2e014500008048,6459,2012-09-28
................\.nfs000000000d2e072b00001f4f,6587,2012-09-28
................\.nfs000000000d2e07380000429d,6622,2012-09-28
................\.nfs000000000d3c013b0001030d,6683,2012-09-28
................\.nfs000000000d3c013d0000fb72,6683,2012-09-28
................\.nfs000000000d3c016500011295,6575,2012-09-28
................\.nfs000000000d3c016e00010aae,6683,2012-09-28
................\.nfs000000000d3c01930000affc,5775,2012-09-28
................\BERvsSNR.mw,55578,2012-09-28
................\discrete_ber_main_RESULTS.pkl,1678,2012-10-10
................\experiments.py,2099,2012-10-09
................\exp_funcs.py,6313,2012-10-09
................\exp_funcs.pyc,6148,2012-10-09
................\main.py,6392,2012-10-09
................\main.pyc,5410,2012-10-09
................\main_DISPLAY_RESULTS.py,2980,2012-10-09
................\main_DISPLAY_RESULTS.pyc,3456,2012-09-28
................\saved_results
................\.............\m10_kappa2.pkl,1579,2012-09-28
................\.............\m10_kappa4.pkl,1853,2012-09-28
................\.............\m5_kappa2.pkl,1770,2012-09-28
................\.............\m7_kappa2.pkl,1882,2012-09-28
documentation
.............\doc.pdf,35588,2012-09-28
.............\doc.tex,2780,2012-09-28
.............\Makefile,273,2012-09-28
donoho_tanner_phase_transition
..............................\.nfs000000000d2e011100001f07,4834,2012-09-28
..............................\.nfs000000000d2e012900007850,4599,2012-09-28
..............................\.nfs000000000d2e012900008625,4599,2012-09-28
..............................\.nfs000000000d2e012b00003107,5583,2012-09-28
..............................\.nfs000000000d2e012e00008627,4599,2012-09-28
..............................\.nfs000000000d2e013000002441,5583,2012-09-28
..............................\.nfs000000000d2e01300000320e,5583,2012-09-28
..............................\.nfs000000000d2e0131000092c2,5444,2012-09-28
..............................\.nfs000000000d2e01330000130c,5639,2012-09-28
..............................\.nfs000000000d2e013e00008628,4599,2012-09-28
..............................\.nfs000000000d2e013f00009409,4599,2012-09-28
..............................\.nfs000000000d2e014200007e94,4599,2012-09-28
..............................\.nfs000000000d2e015a0000507e,4559,2012-09-28
..............................\.nfs000000000d2e01c70000887c,4671,2012-09-28
..............................\.nfs000000000d2e0264000080b9,4671,2012-09-28
..............................\.nfs000000000d2e026500001321,5627,2012-09-28
..............................\.nfs000000000d2e02690000901a,4671,2012-09-28
..............................\.nfs000000000d2e02720000922f,4719,2012-09-28
..............................\.nfs000000000d2e06d600008c49,4719,2012-09-28
..............................\.nfs000000000d2e06d700009ab9,4719,2012-09-28
..............................\.nfs000000000d2e072500008e60,4719,2012-09-28
..............................\.nfs000000000d2e072a0000b4e4,4730,2012-09-28
..............................\.nfs000000000d2e073f0000930e,4719,2012-09-28
..............................\.nfs000000000d2e07430000a693,5444,2012-09-28
..............................\.nfs000000000d2e075a000055f1,4559,2012-09-28
..............................\.nfs000000000d2e0760000009b2,5195,2012-10-07
..............................\.nfs000000000d2e076300000984,5195,2012-10-07
..............................\.nfs000000000d2e07670000084e,5195,2012-10-07
..............................\.nfs000000000d2e076800000ab1,5195,2012-10-07
..............................\.nfs000000000d2e076c00002087,4671,2012-09-28
..............................\.nfs000000000d2e076f00006c90,4671,2012-09-28
..............................\.nfs000000000d2e076f00008569,4671,2012-09-28
..............................\.nfs000000000d2e077700007408,4671,2012-09-28
..............................\.nfs000000000d2e07780000740a,4671,2012-09-28
..............................\.nfs000000000d3c015c00006543,4816,2012-09-28
..............................\dtpt_cs_RESULTS.pkl,191101,2012-10-08
..............................\dtpt_rs_RESULTS.pkl,191535,2012-10-08
..............................\experiments.py,1651,2012-10-07
..............................\exp_funcs.py,5129,2012-10-07
..............................\exp_funcs.pyc,5195,2012-10-07
..............................\generateFigure2.py,2094,2013-02-05
..............................\generateFigure2.pyc,2640,2012-09-28
..............................\main.py,6145,2012-10-07
..............................\main.pyc,5340,2012-10-07
..............................\main_DISPLAY_RESULTS.py,3485,2012-09-28
..............................\main_DISPLAY_RESULTS.pyc,3607,2012-09-28
..............................\saved_results
..............................\.............\csscs_m10.pkl,191071,2012-09-28
..............................\.............\csscs_m5.pkl,175515,2012-09-28
..............................\.............\csscs_m7.pkl,182033,2012-09-28
..............................\.............\cs_m10.pkl,191101,2012-10-09
..............................\.............\cs_m5.pkl,171291,2012-09-28
..............................\.............\cs_m7.pkl,202020,2012-09-28
..............................\.............\rdcs_m10.pkl,191030,2012-09-28
..............................\.............\rdcs_m5.pkl,174036,2012-09-28
..............................\.............\rdcs_m7.pkl,182295,2012-09-28
..............................\.............\rs_m10.pkl,191535,2012-10-09
Maleki_plot
...........\Maleki_plot.py,7557,2012-09-28
rfAnalysis
..........\.nfs000000000d2e014600000ec7,8245,2012-09-28
..........\.nfs000000000d3c018f000140d2,5429,2012-09-28
..........\.nfs000000000d3c0195000148cf,7278,2012-09-28
..........\.nfs000000000d3c01a600014082,5430,2012-09-28
..........\.nfs000000000d3c01a6000153b0,5430,2012-09-28
..........\BERvsEbN0.mw,56635,2012-09-28
..........\experiments.py,2526,2012-09-28
..........\exp_funcs.py,7859,2012-09-28
..........\exp_funcs.pyc,7278,2012-09-28
..........\main.py,6421,2012-09-28
..........\main.pyc,5447,2012-09-28

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • 100
    本程序是交流压缩机的驱动程学,压缩机为三洋,功率为10KW,用的是东芝的IPM(This procedure is the exchange of compressor-driven learning process, the compressor for the Sanyo, power 10KW, using the IPM Toshiba)
    2007-11-01 21:42:30下载
    积分:1
  • FDR-COMPRESS
    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. )
    2009-05-12 14:32:23下载
    积分:1
  • 霍夫曼
     用霍夫曼编码实现的简单的文本压缩解压缩C++源程序
    2022-01-31 18:37:46下载
    积分:1
  • Discrete_Cosine_and_Sine_Transforms
    继 Discrete Cosine Transform: Algorithms, Advantages, Applications (K. R. Rao and P. Yip) 之后的一本关于离散余弦变换(DCT)的快速实现算法的最新专著. 本书第五章“Integer Discrete Cosine/Sine Transforms”关于DCT整数近似实现写的非常详细和精彩, 很方便大家编程实现. 值得一提的是本书的第一作者Vladimir Britanak 一直在从事DCT, 尤其是改进的离散余弦变换(MDCT)的快速算法的研究.(This book, which is written very carefully, is a new monograph of Discrete Cosine Transform (DCT).The fifth chapter about the Integer Discrete Cosine/Sine Transforms is especially wonderful. )
    2020-12-02 19:09:28下载
    积分:1
  • Wavelet_OMP
    说明:  运用压缩感知的原理对图片进行处理 并通过正交匹配追踪法进行图像的重构(compressed sensing for colour image and the reconstruction by OMP)
    2010-04-01 16:50:41下载
    积分:1
  • Traversalalgo
    Codes". Huffman coding uses a specific method for choosing the representation for each symbol, resulting in a prefix code (sometimes called "prefix-free codes") (that is, the bit string representing some particular symbol is never a prefix of the bit string representing any other symbol) that expresses the most common characters using shorter strings of bits than are used for less common source symbols. Huffman was able to design the most efficient compression method of this type: no other mapping of individual source symbols to unique strings of bits will produce a smaller average output size when the actual symbol frequencies agree with those used to create the code. A method was later found to do this in linear time if input probabilities (also known as weights) are sorted.
    2009-12-01 04:47:10下载
    积分:1
  • contourlet-CP-RLC
    基于contourlet的图像压缩编码,其中包括计算PSNR值,压缩比和运行时间(Contourlet-based image compression coding, including the calculation of PSNR values, compression ratio and run-time)
    2009-10-23 16:40:12下载
    积分:1
  • GA-RosenBrock
    遗传算法Matlab语言实现,旅行商问题,n个点的排列问题,解空间数量n (Genetic algorithms in search optimization and machine learning)
    2016-10-16 20:32:32下载
    积分:1
  • hufman
    哈夫曼文本压缩器,两个功能压缩文本文件和解压二进制文件。 内容为源代码,用编译器把源代码运行一遍,把需要压缩的txt文件放到和源代码同一个目录下,压缩名称输入 **.txt 压缩后的名称一定要写二进制格式的 例如 **.dat 只能解压用这个程序压缩后的文件。。 解压名 写 **.dat 解压后名称 **.txt(Huffman text compression, two text files compression and decompression functions binaries)
    2013-12-27 11:06:18下载
    积分:1
  • ImageMatch
    说明:  这是一个基于matlab的图像匹配算法,通过先后两帧中相同的部位,在前一帧中搜索协方差最大的匹配点。(This is a matlab-based image matching algorithm has the same two parts, a former search the largest covariance matching points.)
    2008-09-19 15:39:44下载
    积分:1
  • 696518资源总数
  • 104353会员总数
  • 66今日下载