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841
Morphology-based perfect reconstruction filter banks
- In Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis
, 1998
"... This paper discusses the construction of perfect reconstruction filter banks using morphological operators. Two concrete examples are given: ¢¡¤£ the morphological Haar wavelet, and ¥¡¦¡§ £ a wavelet decomposition obtained from the lifting scheme which has the nice property that local maxima are b ..."
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Cited by 1 (1 self)
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This paper discusses the construction of perfect reconstruction filter banks using morphological operators. Two concrete examples are given: ¢¡¤£ the morphological Haar wavelet, and ¥¡¦¡§ £ a wavelet decomposition obtained from the lifting scheme which has the nice property that local maxima
PERFECT RECONSTRUCTION FILTER BANKS FOR HDTV REPRESENTATION AND CODING
, 1990
"... Subband decomposition of HDTV signals is important both for representation purposes (to create compatible subchannels) and for coding (several proposed compression schemes include some subband division). We first review perfect reconstruction filter banks in multiple dimensions in the context of a ..."
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Cited by 15 (0 self)
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Subband decomposition of HDTV signals is important both for representation purposes (to create compatible subchannels) and for coding (several proposed compression schemes include some subband division). We first review perfect reconstruction filter banks in multiple dimensions in the context
Signal Extensions in perfect reconstruction Filter Banks
"... The Wavelet transform is defined for infinite-length signals. In practice we only have finite-length signals, so signals must be extended before they can be transformed. The question is how to extend the signal to minimize signal end effects, or how to find the signal extension that preserves the tr ..."
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the transform signal length. In this paper we discuss the problem of signal extension in perfect reconstruction filter banks. 1. INTRODUCTION One key problem in subband and wavelet coding systems, is the decomposition of limited size signals. If we consider the case of an input signal x[n] of even length N
On the Completeness of the Lattice Factorization for Linear-Phase Perfect Reconstruction Filter Banks
"... Abstract—In this letter, we re-examine the completeness of the lattice factorization for-channel linear-phase perfect reconstruction filter bank (LPPRFB) with filters of the same length = in [1]. We point out that the assertion of completeness in [1] is incorrect. Examples are presented to show that ..."
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Abstract—In this letter, we re-examine the completeness of the lattice factorization for-channel linear-phase perfect reconstruction filter bank (LPPRFB) with filters of the same length = in [1]. We point out that the assertion of completeness in [1] is incorrect. Examples are presented to show
On efficient implementation of oversampled linear phase perfect reconstruction filter banks
- in ICASSP 2003
, 2003
"... ABSTRACT In this paper, we first present an alternative way of generating oversampled linear phase perfect reconstruction filter banks (OSLP-PRFB). We show that this method provides the minimal factorization of a subset of existing OSLPPRFB. The combination of the new structure and the conventional ..."
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Cited by 4 (1 self)
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ABSTRACT In this paper, we first present an alternative way of generating oversampled linear phase perfect reconstruction filter banks (OSLP-PRFB). We show that this method provides the minimal factorization of a subset of existing OSLPPRFB. The combination of the new structure
THE REPLACEABILITY OF SAMPLING MATRIX FOR MULTIDIMENSIONAL PERFECT RECONSTRUCTION FILTER BANKS
, 2008
"... It is shown under a divisibility condition the sampling matrix for a filter bank can be replaced without loss of perfect reconstruction. This is the generalization of the common knowledge that removing up/downsampling will not alter perfect reconstruction. The result provides a simple way to impleme ..."
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It is shown under a divisibility condition the sampling matrix for a filter bank can be replaced without loss of perfect reconstruction. This is the generalization of the common knowledge that removing up/downsampling will not alter perfect reconstruction. The result provides a simple way
Jordan Representation of Perfect Reconstruction Filter Banks using Nilpotent Matrices
"... Abstract: This paper contains the factorization of the polyphase matrix of finite impulse response perfect reconstruction filter banks into unimodular factors containing finite Jordan nilpotent structures and the associated transform matrices. An important contribution of the paper is the proposal o ..."
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Abstract: This paper contains the factorization of the polyphase matrix of finite impulse response perfect reconstruction filter banks into unimodular factors containing finite Jordan nilpotent structures and the associated transform matrices. An important contribution of the paper is the proposal
Time-Varying Perfect Reconstruction Filter Banks for Finite Length Signals
, 1998
"... : A new approach to the non-expansive two band decomposition of finite length signals is introduced. The technique is based on the time-varying perfect reconstruction filter banks concept. In this approach the main analysis filter bank is instantaneously switched, at the signal boundaries, to a shor ..."
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: A new approach to the non-expansive two band decomposition of finite length signals is introduced. The technique is based on the time-varying perfect reconstruction filter banks concept. In this approach the main analysis filter bank is instantaneously switched, at the signal boundaries, to a
NEAR PERFECT RECONSTRUCTION FILTER BANKS FOR POWER QUALITY ANALYSIS
"... The wavelet transform has been successfully used in the area of power quality analysis. There are many published papers with methods for power quality disturbance classification or harmonics measurement, which use wavelet transform. However, the properties of the wavelet transform can drastically va ..."
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vary from the choice of the wavelet. In this paper we analyze the influence of the choice of the wavelet to the accuracy of the power quality classification method and to high frequency harmonics measurements. Additionally to the well known wavelet filters we introduce near perfect reconstruction
Perfect reconstruction filter banks with rational sampling rate changes
- in Proc. IEEE Int. Con$ Acoust., Speech, Signal Processing
, 1991
"... Abstract-This paper solves an open problem, namely, how to construct perfect reconstruction filter banks with rational sampling factors. Such filter banks have N branches, each one having a sampling factor of p i / q i and their sum equals to one. In this way, the well-known theory of filter banks w ..."
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Cited by 45 (0 self)
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Abstract-This paper solves an open problem, namely, how to construct perfect reconstruction filter banks with rational sampling factors. Such filter banks have N branches, each one having a sampling factor of p i / q i and their sum equals to one. In this way, the well-known theory of filter banks
Results 1 - 10
of
841