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...
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 ...
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?
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 ...
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 ...
The first implementation of a wavelet discretization of the Integral Equation Formalism (IEF) for the Polarizable Continuum Model (PCM) is presented here. The method is based on the application of a general purpose wavelet solver on the cavity boundary to solve the integral equations of the IEF-...
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...
In this work a new approach based on cross-wavelet transform towards identification of noisy Partial Discharge (PD) patterns has been proposed. Different partial discharge patterns are recorded from the various samples prepared with known defects. A novel cross-wavelet transform based technique is used...