Results 271 to 280 of about 27,924 (308)
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Spherical wavelet transform and its discretization
Advances in Computational Mathematics, 1996Starting from continuous wavelet transform on the sphere the authors describe a continuous version of spherical multiresolution. Next, using a scale discretization they construct spherical counterparts to wavelet packets and scale discrete wavelets.
Freeden, Willi, Windheuser, U.
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VLSI implementation of discrete wavelet transform
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 1996This paper presents a VLSI implementation of discrete wavelet transform (DWT). The architecture is systolic in nature and performs both high-pass and low-pass coefficient calculations with only one set of multipliers, in contrast to the approaches presented in the literature. The architecture is simple, modular, and cascadable, and has been implemented
A. Grzeszczak +2 more
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A VLSI architecture for discrete wavelet transform
Proceedings of 3rd IEEE International Conference on Image Processing, 2002The discrete wavelet transform (DWT) has received considerable attention in the context of image processing due to its temporal and frequency characteristics. A specific VLSI architecture for the forward/inverse DWT is presented. The characteristics of the structure and coefficients are utilized to reduce the circuit area.
Xuyun Chen +4 more
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Discrete Wavelet Transform Signal Analyzer
IEEE Transactions on Instrumentation and Measurement, 2007This paper addresses the problem of processing biological data, such as cardiac beats in the audio and ultrasonic range, and on calculating wavelet coefficients in real time, with the processor clock running at a frequency of present application-specified integrated circuits and field programmable gate array.
Cox, Pedro Henrique +1 more
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The Discrete Wavelet Transform
2004The MRA structure allows for the convenient, fast, and exact calculation of the wavelet coefficients of an L 2 function by providing a recursion relation between the scaling coefficients at a given scale and the scaling and wavelet coefficients at the next coarser scale. In order to specify this relation, let {V j × be an MRA with scaling function φ(x).
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Efficient inverse discrete wavelet transformer
2017 6th Mediterranean Conference on Embedded Computing (MECO), 2017This paper describes the efficient one-dimensional inverse discrete wavelet transformer with 5/3 filter. The described design makes use of the same registers for both low-pass and high-pass filtering in different time slots. The design utilizes 33% less registers, 17% less logic elements, has 7% higher maximum operating frequency and 2% lower total ...
Goran Savic +3 more
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A note on irregular discrete wavelet transforms
IEEE Transactions on Information Theory, 1992Estimates of frame bounds for wavelet frames generated by discrete sets in phase space satisfying only a certain density condition are deduced. Numerical examples show that these estimates, which are the sharpest results of this kind known to the authors, are rather poor compared to Daubechies' estimates (see ibid., vol.36, no.5, p.961-1005, 1990) for ...
Peder A. Olsen, Kristian Seip
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The Discrete Wavelet Transform
1991Abstract : In a general sense, this report represents an effort to clarify the relationship of discrete and continuous wavelet transforms. More narrowly, it focuses on bringing together two separately motivated implementations of the wavelet transform, the algorithm a trous and Mallat's multiresolution decomposition.
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The Design of Discrete Wavelet Transformation Chip
2001In this paper, an explanation on the need for a special discrete wavelet transformation hardware is presented. The development processes that have been carried out which includes simulation (both in MATLAB? and SYNOPSYS?) and synthesis which also used SYNOPSYS?
Zaidi Razak, Mashkuri Yaacob
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Discrete inverses for nonorthogonal wavelet transforms
SPIE Proceedings, 1994Discrete nonorthogonal wavelet transforms play an important role in signal processing by offering finer resolution in time and scale than their orthogonal counterparts. The standard inversion procedure for such transforms is a finite expansion in terms of the analyzing wavelet.
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