Results 271 to 280 of about 21,346 (310)

Discrete Wavelet Transform Signal Analyzer

IEEE Transactions on Instrumentation and Measurement, 2007
This 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, de Carvalho, Aparecido Augusto   +1 more
openaire   +2 more sources

Numerical Condition of Discrete Wavelet Transforms

SIAM Journal on Matrix Analysis and Applications, 1997
In many applications biorthogonal wavelets have been used rather than orthogonal ones, since the latter might exclude other useful properties like symmetry in the case of compactly supported wavelets. Thus one would like to study stability of biorthogonal wavelets and obtain quantitative information about sensitivity to noise in the data or ...
openaire   +1 more source

Efficient inverse discrete wavelet transformer

2017 6th Mediterranean Conference on Embedded Computing (MECO), 2017
This 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, Milan Prokin, Vladimir Rajovic, Dragana Prokin   +3 more
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CONVOLUTION FOR THE DISCRETE WAVELET TRANSFORM

International Journal of Wavelets, Multiresolution and Information Processing, 2011
Translation and convolution associated with the discrete wavelet transform are investigated using properties of Calderón–Zygmund operator and Riesz fractional integral operator. Dual convolution is also studied. The wavelet convolution is applied to approximate functions belonging to certain Lp-spaces.
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Discrete Wavelet Transform Domain Techniques

2013 International Conference on Informatics and Creative Multimedia, 2013
In this paper we focus on the process of embedding and retrieving on DWT domain in format of video. We therefore have chosen some proposed technique in DWT. We choose DWT because as it provides both spatial and frequency domain characteristic of the signal.
Farnaz Arab, Salwani Mohd Daud, Siti Zaiton Hashim   +2 more
openaire   +1 more source

Discrete Wavelet Transform (DWT)

2015
The wavelet transform can be seen as a wavelet-based expansion (decomposition) of a finite-energy signal. In the discrete wavelet transform (DWT), economy in the representation of the signal and possibility of perfect signal reconstruction (PR) are crucial.
openaire   +1 more source

Discrete wavelet transforms in VLSI

[1992] Proceedings of the International Conference on Application Specific Array Processors, 2003
Three architectures, based on linear systolic arrays, for computing the discrete wavelet transform, are described. The AT/sup 2/ lower bound for computing the DWT in a systolic model is derived and shown to be AT/sup 2/= Omega (N/sup 2/N/sub w/k). Two of the architectures are within a factor of log N from optimal, but they are of practical importance ...
M. Vishwanath, R.M. Owens, M.J. Irwin
openaire   +1 more source

Discrete Wavelet Transform: From Frames to Fast Wavelet Transform

2002
Both the short-time Fourier transform and the continuous wavelet transform can be seen as operators that project the signal s(t) from the one-dimensional time domain into the two-dimensional time-frequency plane. In the case of the continuous wavelet transform the scaling a and delay b are assumed to be continuous in value; that is, it is said that the
Agostino Abbate, Casimer M. DeCusatis, Pankaj K. Das   +2 more
openaire   +1 more source

The Discrete Wavelet Transform

1991
Abstract : 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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COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach

International Review of Financial Analysis, 2020
Arshian Sharif
exaly