登录
首页 » matlab » ezwmatlab2

ezwmatlab2

于 2015-02-23 发布 文件大小:3KB
0 169
下载积分: 1 下载次数: 1

代码说明:

  EZW2 (NEW version of EZW)

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

  • kalman
    kalman滤波程序,是一种数据融合程序,主要用以组合导航(kalman filtering process, is a data integration process, mainly for navigation)
    2010-10-25 21:18:33下载
    积分:1
  • MultiLineReg.m
    多元线性回归,包含了具体的检验系数和输入输出,很有用(MultiLineRegression)
    2009-04-21 08:30:55下载
    积分:1
  • imagescn
    Imagescn plot two or more imagesc into the same axes. Deeper layers are visible, were higher layers have the value NaN. This is helpful e.g. to show measurement (=foreground) results "above" a map (=background), to separate NaN values within a 2D matrix from the lowest value (standard image shows the same color at NaN as it does for the lowest value). The number of layers is only limited by memory space :-).(Piled images Imagescn plot two or more imagesc into the same axes. Deeper layers are visible, were higher layers have the value NaN. This is helpful e.g. to show measurement (=foreground) results "above" a map (=background), to separate NaN values within a 2D matrix from the lowest value (standard image shows the same color at NaN as it does for the lowest value). The number of layers is only limited by memory space :-).)
    2011-10-08 19:59:44下载
    积分:1
  • time-domain-convolution-theorem
    该程序为数字信号处理实验中的时域卷积定理。(Digital signal processing experimental time domain convolution theorem)
    2012-10-24 21:40:45下载
    积分:1
  • RSMlognorm
    响应面法计算相关系数情况下结构的可靠度.已知极限状态方程,变量服从对数正态分布,变量均值和标准差已知,且知道变量的相关系数。(Response surface methodology to calculate the correlation coefficient of reliability under the circumstances structures known to limit state equation, variables lognormal distribution, the mean and the standard deviation is known variables, and that the correlation coefficient variables.)
    2013-12-30 15:21:54下载
    积分:1
  • 进制转换
    说明:  使用MATLAB来实现进制转换的MATLAB GUI(Using MATLAB to realize the Matlab GUI of base conversion)
    2020-01-06 16:29:34下载
    积分:1
  • DateConvert
    DateConvert:简单而快速的日期转换 DateConvert转换DATESTR(0)格式的日期向量或序列号和日期向后。 Matlab的DATENUM,DATEVEC和DATESTR接受各种不同意见,但结果他们是缓慢的。如果输入格式正是众所周知,转换可以更快: DATENUM( 17 - 10 - 2009 11时08分23秒 ):2.97秒 DateConvert( 17 - 10 - 2009 11时08分23秒 , 号码 ):0.039秒 =>“1.3%(1000环,1.5GHz的奔腾- M的,利用Matlab 7.7) DateConvert不*不*验证作为Matlab的日期函数输入日期: DATEVEC( 32 - 2 - 2008 25:62:63 )的答复[2008 3 4 2 2 7] DateConvert( 32 - 2 - 2008 25:61:67 , 载体 )的答复[2008 2 32 25 61 67]! 因此DateConvert几乎微不足道,但对速度进行了优化。我需要时间排序200 000邮票,并从217个减少到11秒的时间。 请运行单元测试TestDateVec检查的有效性和速度。 测试:利用Matlab 6.5,7.7,7.8,winxp的,32位。 纯Matlab代码,所以兼容性的MacOS,Linux操作系统,64位预期。 英语月份名称是必要的。(DateConvert: Simple but fast date conversion DateConvert converts the DATESTR(0) format to a date vector or serial date number and backwards. Matlab s DATENUM, DATEVEC and DATESTR accept a variety of inputs, but in consequence they are slow. If the input format is exactly known, the conversion can be much faster: DATENUM( 17-Oct-2009 11:08:23 ): 2.97 sec DateConvert( 17-Oct-2009 11:08:23 , number ): 0.039 sec => 1.3 (1000 loops, 1.5GHz Pentium-M, Matlab 7.7) DateConvert does*not* validate the input date as Matlab s date functions: DATEVEC( 32-Feb-2008 25:62:63 ) replies [2008 3 4 2 2 7], DateConvert( 32-Feb-2008 25:61:67 , vector ) replies [2008 2 32 25 61 67] ! So DateConvert is nearly trivial, but optimized for speed. I needed it for sorting 200 000 time stamps and reduced the time from 217 to 11 sec. Please run the unit-test TestDateVec to check validity and speed. Tested: Matlab 6.5, 7.7, 7.8, WinXP, 32bit. Pure Matlab code, so compat)
    2010-07-05 11:59:46下载
    积分:1
  • shipcalculate
    船舶扭振计算的例程,船的轴系较复杂,所以大多数例子都是关于船舶的!(an example of ship torsional vibration)
    2010-12-06 21:21:51下载
    积分:1
  • constraints-coal-consumption
    排放约束下的江苏省煤炭消费量预测,用以解决生活正的部分预测问题。(Emission constraints, Jiangsu Province, coal consumption is forecast。Part of the prediction problem to solve their positive)
    2012-09-04 16:08:05下载
    积分:1
  • salary
    某家电企业在全国二线城市的年销售量Y(单位:万台)与该城市人口数X1(单位:万人)以及该市人均月收入X2(单位:元)之间的关系,在某年对15个城市作了调查,得上述各量的观测值(见数据表data1.txt)(A household electrical appliance enterprises in the country in sales of second-tier cities, Y (unit: million units) and the urban population, the number of X1 (unit: million) and the city' s per capita monthly income X2 (unit: yuan) between, in a particular year made a survey of 15 cities, was the amount of the above observations (see data sheet data1.txt))
    2010-06-21 14:24:05下载
    积分:1
  • 696518资源总数
  • 106155会员总数
  • 8今日下载