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tutorial-compression-perception

于 2012-07-16 发布 文件大小:17006KB
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代码说明:

  tutorial压缩感知代码。压缩感知,又称压缩采样,压缩传感。它作为一个新的采样理论,它通过开发信号的稀疏特性,在远小于Nyquist 采样率的条件下,用随机采样获取信号的离散样本,然后通过非线性重建算法完美的重建信号(The tutorial compression-aware code. Compressed sensing, also known as compressed sampling, compressed sensing. It as a new sampling theory, through the development of signal sparsity, in conditions far less than the Nyquist sampling rate, using random sampling for discrete samples of the signal, and then through the non-linear reconstruction algorithm perfect reconstructed signal)

文件列表:

tutorial压缩感知代码
....................\cs-tutorial-ICASSP-mar08.pdf,8091889,2009-09-21
....................\cs-tutorial-ITA-feb08-complete.pdf,7775798,2009-09-21
....................\HDR2007.pdf,8469559,2009-09-21
....................\princeton.pdf,1787776,2009-09-21

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  • jiyuneirongdetuxiangjiansuo
    说明:  基于内容的图像检索,包括纹理、形状、颜色(Content-based image retrieval, including texture, shape, color)
    2011-04-16 20:46:50下载
    积分:1
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    积分:1
  • mmullti-senssu
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    2012-06-09 10:50:42下载
    积分:1
  • two
    :植物种类识别方法主要是根据叶片低维特征进行自动化鉴定。然而,低维特征不能全面描述叶片信息,识别准确率低,本文提 出一种基于多特征降维的植物叶片识别方法。首先通过数字图像处理技术对植物叶片彩色样本图像进行预处理,获得去除颜色、虫洞、 叶柄和背景的叶片二值图像、灰度图像和纹理图像。然后对二值图像提取几何特征和结构特征,对灰度图像提取 Hu不变矩特征、灰 度共生矩阵特征、局部二值模式特征和 Gabor 特征,对纹理图像提取分形维数,共得到 2183 维特征参数。再采用主成分分析与线性 评判分析相结合的方法对叶片多特征进行特征降维,将叶片高维特征数据降到低维空间。使用降维后的训练样本特征数据对支持向量 机分类器进行训练(plant species identification method is mainly based on blade automatic identification of low dimensional characteristics.However, can not fully describe blade low-dimensional feature information, identification accuracy is low, in this paper A kind of plant leaves recognition method based on multiple feature dimension reduction.First by digital image processing technology to the plant leaf color sample image preprocessing, obtain background color removal, wormhole, petioles, and the blades of a binary image, gray image and texture image.Then the binary image to extract the geometric characteristics and characteristics of structure and characteristics of gray image extraction Hu moment invariants, gray co-occurrence matrix feature, local binary pattern features and Gabor, to extract the fractal dimension of texture image, get 2183 d characteristic parameters.By principal component analysis and linear uation analysis method of combining the characteristics of blade more feature dimensi)
    2017-02-28 09:57:50下载
    积分:1
  • iwssim_iwpsnr
    mssim算法的实现以及注释啦啦啦啦啦啦啦(ssim dfghdk sda slf;d snflsd sflds fl;sd slf;s sldkfn)
    2018-04-27 16:22:44下载
    积分:1
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    该文件夹包括基于邻阈的小波图像去噪程序。主程序为wave_neighbor.m,实现3*3和5*5邻域去噪;wov_win.m为函数m文件,实现3*3和5*5的滑动窗口;cacupsnr.m为函数m文件,计算mse和psnr等。(This is about image denoising with the method of wavelet.It includes 3×3 and 5×5 neighborhood window.)
    2012-04-08 10:14:08下载
    积分:1
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    2015-11-27 13:10:39下载
    积分:1
  • CBIR
    综合多个特征的图像检索,包括颜色、形状和纹理等(Integrated multiple features for image retrieval, including color, shape and texture)
    2013-07-26 15:34:19下载
    积分:1
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    光伏逆变系统中的最大功率点跟踪算法,采用的是快速收敛的改进的变步长的电导增量方法,由s函数编写(maximum power point tracking method, using variable step size inc method,written by s-function)
    2020-11-07 22:09:48下载
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