Results 261 to 270 of about 256,514 (313)

Reconstruction of multidimensional digital signals

International Journal of Wavelets, Multiresolution and Information Processing, 2022
We study the reconstruction of multidimensional digital signals in multirate digital signal processing. We show that the composition of sampling operator and interpolation operator forms the frame operator of multivariate discrete time wavelet (MDTW) system of scale matrix [Formula: see text].
Poonam Mantry, Khole Timothy Poumai, Shiv Kumar Kaushik   +2 more
openaire   +2 more sources

On signal reconstruction without phase

Applied and Computational Harmonic Analysis, 2006
We will construct new classes of Parseval frames for a Hilbert space which allow signal reconstruction from the absolute value of the frame coefficients. As a consequence, signal reconstruction can be done without using phase or its estimation.
Radu Balan, Dan Edidin
exaly   +2 more sources

Reconstruction of Repetitive Signals

Methods of Information in Medicine, 1994
Abstract:A technique is presented for the reconstruction of signals that suffered sampling-frequency decimation. Two assumptions are made: the original signal has to be repetitive, and no anti-aliasing filter has been used before frequency decimation.
R J, Schijvenaars, J A, Kors, J H, van Bemmel   +2 more
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A new iterative reconstruction scheme for signal reconstruction

APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems, 2008
Projection Onto Convex Sets (POCS) is an iterative method to obtain the information from one domain using the information available in other domains, and it has been widely used in image restoration problems and block-based DCT compression standards as a post-processing scheme.
Honglin Huang, Anamitra Makur
openaire   +1 more source

Ginibre sampling and signal reconstruction

2016 IEEE International Symposium on Information Theory (ISIT), 2016
The spatial distribution of sensing nodes plays a crucial role in signal sampling and reconstruction via wireless sensor networks. Although homogeneous Poisson point process (PPP) model is widely adopted for its analytical tractability, it cannot be considered a proper model for all experiencing nodes.
ZABINI, FLAVIO, Conti, Andrea
openaire   +1 more source

Selection of observations in signal reconstruction

IEEE Transactions on Signal Processing, 1993
In some signal reconstruction problems, the observation equations can be used as a priori information for selecting the best combination of observations before acquiring them. In the present correspondence, the authors define a selection criterion and propose efficient methods for optimizing the criterion with respect to the combination of observations.
Stanley J. Reeves, Larry P. Heck
openaire   +2 more sources

Sensitivity of signal reconstruction

IEEE Signal Processing Letters, 1997
A method of assessing the quality of reconstructing signals from finite sets of samples is presented. The assessment uses a sensitivity function that provides information about the reliability of the reconstructed signal at every time instant. The sensitivity function equals zero where the reconstruction is perfect (sampling instants) and achieve ...
openaire   +1 more source

Phase-only signal reconstruction

ICASSP '80. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
In this paper, we develop a set of conditions under which a sequence is uniquely specified by the phase or samples of the phase of its Fourier transform. These conditions are applicable to mixed-phase one-dimensional and multi-dimensional sequences. Under the specified conditions, we also present several algorithms which may be used to reconstruct a ...
Monson H. Hayes, Jae S. Lim, Alan V. Oppenheim   +2 more
openaire   +1 more source

Using ADZT for a signal reconstruction

2013 European Conference on Circuit Theory and Design (ECCTD), 2013
The Approximate Discrete Zolotarev Transform (ADZT) has been introduced recently. The aim of this paper is to describe the possibilities and limitations of ADZT when used for a signal reconstruction. The signal reconstruction is shown for three types of signals. Only one signal segment is used, that is why there is no need of an overlap-add (or overlap-
Pavel Masa, Pavel Sovka, Miroslav Vlcek, Radim Spetik   +3 more
openaire   +1 more source

An Effective LFM Signal Reconstruction Method for Signal Denoising

Journal of Circuits, Systems and Computers, 2018
One of the main challenges in signal denoising is to accurately restore useful signals in low signal-to-noise ratio (SNR) scenarios. In this paper, we investigate the signal denoising problem for multi-component linear frequency modulated (LFM) signals. An effective time-frequency (TF) analysis-based approach is proposed.
Luo, Shan, Bi, Guoan, Wu, Tong, Xiao, Yong, Lin, Rongping   +4 more
openaire   +2 more sources