Results 251 to 260 of about 799,916 (290)

Signal reconstruction from the undersampled signal samples

Optics Communications, 2006
Abstract It is well-known from the celebrated Shannon sampling theorem for bandlimited signals that if the sampling rate is below the Nyquist rate, aliasing takes place and the original signal cannot be reconstructed back by simply passing the signal samples through an ideal lowpass filter. However, researchers such as Stern and Gori have shown the
Kamalesh Kumar Sharma, Shiv Dutt Joshi
openaire   +1 more source

Towards genome-scale signalling-network reconstructions

Nature Reviews Genetics, 2010
Biological signalling networks allow living organisms to issue an integrated response to current conditions and make limited predictions about future environmental changes. Small-scale dynamic models of signalling cascades, including mitogen-activated protein kinase cascades, have been developed to generate hypotheses about signal transduction.
Daniel R, Hyduke, Bernhard Ø, Palsson
openaire   +2 more sources

Reconstruction of Real Signals

2008 International Conference on Computer and Electrical Engineering, 2008
We consider a real signal which has been sampled synchronously and uniformly at two sampling frequencies, the first equal to its bandwidth, and the second to 150% of its bandwidth. Therefore the two corresponding discrete-time signals are undersampled versions of the original analog signal.
openaire   +1 more source

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

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.
null Honglin Huang, Anamitra Makur
openaire   +1 more source

Iterative signal reconstruction of deliberately clipped SMT signals

Science China Information Sciences, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kollár, Zsolt, Gazda, Juraj, Horváth, Péter, Varga, Lajos, Kocur, Dušan   +4 more
openaire   +2 more sources

Time-frequency signal reconstruction of nonsparse audio signals

2017 22nd International Conference on Digital Signal Processing (DSP), 2017
In this paper, the reconstruction of non-stationary audio signals is considered. Audio signals are approximately sparse in the joint time-frequency representation domain. The reconstruction is based on a reduced set of samples, and it is considered that the signals are sparse.
Isidora Stankovic, Milos Dakovic, Cornel Ioana   +2 more
openaire   +1 more source

Gibbs Sampling for Signal Reconstruction

IFAC Proceedings Volumes, 1997
Abstract This paper describes the use of stochastic simulation techniques to reconstruct biomedical signals not directly measurable. In particulart a deconvolution problem with an uncertain clearance parameter is considered. The problem is addressed using a Monte Carlo Markov Chain method, called the Gibbs Sampling, in which the joint posterior ...
Riccardo Bellazzi, Paolo Magni, Giuseppe De Nicolao   +2 more
openaire   +1 more source

Reconstructing the Hippo signaling network

Science Bulletin, 2023
Zhenxing, Zhong, Zhipeng, Meng, Fa-Xing, Yu   +2 more
openaire   +2 more sources

Signal Reconstruction and Coding

Eletrónica e Telecomunicações, 2001
Consider a low-pass signal with N samples where the amplitude of t samples was modified. Is it possible to find a method to detect which samples violate the low-pass condition and reconstruct their original amplitude? Most of the known techniques of signal reconstruction don’t solve this problem, being necessary to know the error positions in order to ...
Vieira, José Manuel Neto, Ferreira, Paulo Jorge S. G.   +1 more
openaire   +1 more source