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于 2011-04-01 发布 文件大小:153KB
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  speech procesiing done ini it

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  • get2S1Data
    the simulation provides computation of target reflectivity data in the deficient elevation domain. Simulations are implemented to test the decoupled least-squares technique for high resolutionspectral estimation of target reflectivity.all seven (7)files should be downloaded for the simulation to work.(dls3D.m,estimate.m,get2S1Data.m,getConstraints.m, getImageData.m,getPixelData.m, getSLICYData.m)
    2009-09-05 05:04:32下载
    积分:1
  • 分洪问题
    工件加工问题,本程序提供了工件加工问题的一般算法question1 question2 question3经过调试能成功运行(workpiece machining, the process of machining the general algorithm question1 question2 question3 after the successful operation Debugging)
    2005-08-27 16:08:18下载
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    图像的退化与复原,有两种退化方式和多种复原方式(Image degradation and recovery, there are two degradation modes and a variety of recovery methods)
    2013-05-13 21:34:05下载
    积分:1
  • ysgz
    对256×256大小的8bit灰度lena图像进行仿真计算,稀疏矩阵采用DCT矩阵,观测矩阵采用高斯随机矩阵,重构算法采用OMP(正交匹配追踪)算法。 (256256 size 8bit grayscale lena image simulation, sparse matrix DCT matrix, and observation matrix using Gaussian random matrix reconstruction algorithm using OMP (orthogonal matching pursuit) algorithm.)
    2012-12-26 21:49:16下载
    积分:1
  • Hough
    用霍夫曼方法检测圆,直线!其中更包含了圆的自动生成!(Hoffman method using a round, a straight line! One more round included automatically!)
    2008-01-14 20:31:40下载
    积分:1
  • 4
    说明:  MATLAB实验的部分习题题目及源码,初学者可能会用到(MATLAB exercises part of the experiment title and source code may be used for beginners)
    2010-12-24 00:02:00下载
    积分:1
  • RLS
    系统辨识,最小二乘递推算法,可以在线辨识,实时进行参数辨识(System Identification,Recursive Least Squares Algorithm )
    2009-07-03 19:50:54下载
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  • HistogramDrivenAnisotropicDiffusion
    Matlab Code for> A Post-Processing Algorithm Using Histogram-Driven Anisotropic Diffusion
    2012-08-02 21:33:24下载
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  • SP-code-plus-paper
    SOMP是压缩感知中的子空间重构算法,这里包含一个源码和一片关于SOMP的文章,供参考(compressive sensing_SOMP)
    2014-05-20 01:48:34下载
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  • k_means
    首先从n个数据对象任意选择 k 个对象作为初始聚类中心;而对于所剩下其它对象,则根据它们与这些聚类中心的相似度(距离),分别将它们分配给与其最相似的(聚类中心所代表的)聚类;然后再计算每个所获新聚类的聚类中心(该聚类中所有对象的均值);不断重复这一过程直到标准测度函数开始收敛为止。一般都采用均方差作为标准测度函数. k个聚类具有以下特点:各聚类本身尽可能的紧凑,而各聚类之间尽可能的分开。(First, a data object from the n choose k objects as initial cluster centers and for the rest of the other objects, according to their similarity with the cluster center (distance), respectively, assign them to their most similar (represented by cluster center) clustering then calculated for each cluster center received a new clustering (all objects in the cluster mean) repeats this process until the convergence criteria begin until the measure function. Standard deviation is generally used as a standard measure function. K a cluster has the following characteristics: the cluster itself as a compact, but separated as much as possible between each cluster.)
    2011-01-04 12:30:31下载
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