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tuxiangshuyan

于 2006-05-07 发布 文件大小:150KB
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代码说明:

说明:  基于dct系数的数字水印算法实现,在matlab环境中实现(coefficient based on digital watermarking algorithm in Matlab environment to achieve)

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    一个利用小波变换模极大值方法进行信号检测的程序(a wavelet transform modulus maxima method of signal detection procedures)
    2007-04-27 16:56:49下载
    积分:1
  • 边缘检测
    基于小波变换模极大的多尺度图像边缘检测matlab源代码(based on wavelet transform modulus maxima of multiscale edge detection Matlab source code)
    2020-06-26 08:00:02下载
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  • wnn_forcast
    用小波神经网络变换对时间序列信号进行预测,并做了测试,效果很好,请参考(Transform using wavelet neural network to predict the time series signal, and do a test with good results, please refer to)
    2009-09-24 17:41:18下载
    积分:1
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    小波变换,小波去噪,包含多种去噪方法,模极大值,自适应,阈值去噪(Wavelet transform, wavelet denoising, including multiple Denoising, modulus maxima, adaptive thresholding)
    2013-09-05 15:07:32下载
    积分:1
  • DWT_1D
    离散小波变换是指在特定子集上采取缩放和平移的小波变换,是一种兼具时域和频域多分辨率能力的信号分析工具。此变换运用可以缩放平移的小波代替固定的窗进行计算分析,主要应用于信号编码和数据压缩。(Discrete wavelet transform refers to the specific subset take scaling and translation on the wavelet transform, is a kind of multi-resolution ability both time domain and frequency domain signal analysis tool. This transformation can use zoom translational wavelet calculation and analysis instead of the fixed window, mainly used in signal coding and data compression. )
    2013-11-10 22:12:48下载
    积分:1
  • haar
    说明:  利用Harr将图像进行3层小波变换,并进行重建。里面包含测试图片及变换后系数重新排列后的结构图。(Harr is used to transform the image into three-layer wavelet transform and reconstruct it. It contains the test picture and the structure chart of the coefficient rearrangement after transformation.)
    2019-05-15 17:09:28下载
    积分:1
  • PCMW2D_2
    移动窗口二维相关光谱方法matlab的实现,完全是自己参照公式编的哦。。移动窗口二维相关光谱是一种新的二维相关分析方法,它将移动窗口的概念和二维相关分析方法有效地结合在了一起,利用移动窗口将庞大的光谱数据按矩阵分割成若干个便于操作的子矩阵,用二维相关光谱分别处理,将得到的结果综合分析,用以光谱变量和扰动变量为坐标的等高图表现出来,从中可以非常直观地观察出光谱强度在扰动变量方向上的变化,进而找出引起光谱强度突变的特征扰动点。(Moving window two-dimensional correlation spectroscopy method matlab realization, is entirely their own formulas reference the Oh. . Moving window two-dimensional correlation spectroscopy is a new two-dimensional correlation analysis method, it will move the window concept and two-dimensional correlation analysis method is effective to combine together, using the moving window at the huge spectral data matrix is ​ ​ divided into a number of easy to operate a sub-matrix, respectively, using two-dimensional correlation spectroscopy process, comprehensive analysis of the results obtained for the spectral variables, and disturbance variables manifested contour map coordinates, which can visually observe the spectral intensity of the direction of the disturbance variable The change, then find mutations characteristic spectral intensity caused disturbance point.)
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