Three-dimensional (2D+T) wavelet coding of video using SPIHT has been shown to outperform standard predictive video coders on complex high-motion sequences, and is competitive with standard predictive video coders on simple low-motion sequences. However, on a number of typical moderate-motion sequ...
The tradeoff between receptive field size and efficiency is a crucial issue in low level vision. Plain convolutional networks (CNNs) generally enlarge the receptive field at the expense of computational cost. Recently, dilated filtering has been adopted to address this issue. But it suffers from ...
errputs(“WaveCoder v1.7 (c) 1998 by cBloom“); if ( argc < 4 ) { errputs(“wavecoder : tree-structured transforms and coders“); errputs(“usage: wt -[flag] ...“); errputs(“flags:“); errputs(“ o : old Skool yo no subband waveletpackets“); errputs(“ c# : choose...
When using cwt on a simple sinusoid, cmor gives a weird result : While non complex morlet or whatever other complex ones such as cgaus gives somethings that seems more correct : Can you provide a minimal Python code to reproduce this?
this paper we will propose a different approach, where we preserve the advantage of the wavelet representation: sparse encoding of both the high3 pass coefficients, and the smooth regions. We propose in this paper a video compression algorithm that can operate at a variety of bit rates (from ...
Complex wavelets can provide both shift invariance and good directional selectivity, which are lack in the traditional wavelet transform, but can not satisfy the condition of perfect reconstruction. Dual tree complex wavelet transform (DTCWT), which employs a dual tree of wavelet filters to obtain ...
【翻译】本文提出了两种在深度残差网络内部进行多组小波系数融合的故障诊断方法,即“级联式多组小波系数融合深度残差网络(MWCF-DRN-C)”和“最大化式多组小波系数融合深度残差网络(MWCF-DRN-M)”。MWCF-DRN-C将小波包系数矩阵进行级联,并且将单独的级联矩阵作为输入。MWCF-DRN-M对深度残差网络进行了重新设计,以...
Wavelets and C * -algebras 来自 ResearchGate 喜欢 0 阅读量: 24 作者: PJ Wood 摘要: A wavelet is a function which is used to construct a specific type of orthonormal basis. We are interested in using C*-algebras and Hilbert C*-modules to study wavelets. A Hilbert C*-module is a ...
DC Tseng,YL Chen,M.S.C. Liu - 《IEEE》 被引量: 82发表: 2001年 Clustering in wavelet domain: A multiresolution ART network for anomaly detection A method for process fault detection is presented, based on the integration of multiscale signal representation and scale-specific clustering-based ...
In this paper a wavelet transform based optimum subband thresholding algorithm is proposed. This algorithm is used for denoising of heart sound signals that are highly corrupted by noise. The proposed algorithm applies signal dependent optimum thresholding to all the subbands of the signal. The algor...