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shortwave
matlab提升小波变换与应用初步，包括小波变换的一些改进(the matlab enhance wavelet transform and application of the preliminary)
- 2012-03-23 09:42:23下载
- 积分：1
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用opencv实现各种低通滤波器
对图像进行滤波处理是图像处理中最常见的一种操作类型。而这其中低通滤波（也可以叫做平滑）有事各种滤波处理中最常用的。这里就简单写写 OpenCV 中提供的几种低通滤波方法。
具体思路：对源图像进行离散傅里叶变换，滤波后通过cvDFT进行傅里叶逆变换得到理想低通滤波器、巴特沃斯低通滤波器、高斯低通滤波器后图像
- 2022-03-04 13:06:18下载
- 积分：1
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3D
说明： 真正的3 d双树离散小波变换(DWT)的一个数据集x是使用四个严格采样实现可分3 d DWTs在平行。然后subbands四DWTs结合适当。
(The real the 3 d Doubletree discrete wavelet transform (DWT) data set x four to strict sampling separable 3 d the DWTs In parallel. The then the subbands four DWTs combined appropriately.)
- 2013-04-16 19:35:55下载
- 积分：1
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Savitzky-Golay filter
Savitzky-Golay滤波是一种工程应用数据处理中高效的滤波方法，能同时得到平滑后的数据和数据梯度。(Savitzky-Golay filter is an efficient filtering method in engineering application data processing, which can simultaneously obtain the smoothed data and data gradient.)
- 2018-03-28 11:04:34下载
- 积分：1
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waveletdenoising
小波变换应用，小波软阈值及硬阈值去噪算法及对此算法的改进算法。(Application of Wavelet Transform, wavelet soft threshold and hard threshold denoising algorithm and improved algorithm for this method.)
- 2021-04-08 20:39:00下载
- 积分：1
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wavelets
基于小波变换的图像压缩编码，实现了多种小波变换，并且实现了12:1的高压缩率。(Based on Wavelet Transform Image Coding, to achieve a variety of wavelet transform, and achieved a high 12:1 compression ratio.)
- 2008-12-29 09:02:17下载
- 积分：1
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Wavelet-Shrinkage_-Asymptopia_
小波变换阈值去噪的文章，基于最大最小准则计算(Minimax Estimation, Adaptive Estimation, Nonparametric
Regression, Density Estimation, Spatial Adaptation, Wavelet Orthonormal bases, BesovSpaces, Optimal Recovery.)
- 2016-12-13 21:12:50下载
- 积分：1
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3
说明： 故障行波波头识别：模极大值原理识别故障行波波头(Modulus maxima principles identified wave head)
- 2013-09-23 11:35:05下载
- 积分：1
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Wavelet_denoising
小波变换的MATLAB源程序，使用语语音增强，去除噪声效果好，算法实现简单，清晰(MATLAB source wavelet transform, using language speech enhancement, noise removal effect, algorithm is simple and clear)
- 2010-06-01 14:47:30下载
- 积分：1
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Wavelet-dec--rec
在理解了离散小波变换的基本原理和算法的基础上，通过设计VC程序对简单的一维信 号在加上了高斯白噪声之后进行Daubechies小波、Morlet小波和Haar小波变换，从而得到小波分解系数；再通过改变分解得到的各层高频系数进行信号的小波重构达到消噪的目的。在这一程序实现的过程中能直观地理解信号小波分解重构的过程和在信号消噪中的重要作用，以及在对各层高频系数进行权重处理时系数的选取对信号消噪效果的影响。(In understanding the basis of discrete wavelet transform basic principles and algorithms, through the design VC program Daubechies wavelet, Morlet wavelet and Haar wavelet transform after a simple one-dimensional signal plus a Gaussian white noise, resulting wavelet coefficients wavelet reconstruction signal again by changing the layers to achieve high-frequency coefficients decomposed noise cancellation purposes. Can intuitively understand wavelet decomposition and reconstruction process and an important role in signal de-noising in the process of implementation of this program, and in the high-frequency coefficients when the weight of the layers selected for signal processing coefficients denoising affected.)
- 2014-07-10 18:16:49下载
- 积分：1
