Results 21 to 30 of about 261,559 (305)
Optimal periodic sampling sequences for nearly-alias-free digital signal processing [PDF]
, 2005 Alias-free DSP (DASP) is a methodology of processing signals digitally inside bandwidths that are wider than the famous Nyquist limit of half of the sampling requency.
Tarczynski, A. +3 more
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Antithetical Stratified Sampling Estimator for Filtering Signals with Discontinuities [PDF]
, 2021 A novel approach to signal filtering using digital alias-free signal processing (DASP) is presented in this paper. We propose an unbiased, fast-converging estimator of the output of a finite impulse response (FIR) continuous-time filter.
Tarczynski, A., Darawsheh, H.
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Silicon photonics devices for integrated analog signal processing and sampling
Nanophotonics, 2014 Silicon photonics offers the possibility of a reduction in size weight and power for many optical systems, and could open up the ability to build optical systems with complexities that would otherwise be impossible to achieve.
Spector Steven, Sorace-Agaskar Cheryl
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Ranging Property of the Dual-Band Band Limited Signal (DBBLS)
Advances in Electrical and Computer Engineering, 2012 The Dual-Band Band Limited Signal (DBBLS) is a signal with its power spectral density consisting of two separate lobes. Signals that can be considered as DBBLS are for example signals with BOC, AltBOC modulation, signals modulated on two close carriers
KOVAR, P., KACMARIK, P.
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THE DISCRETIZATION OF THE POLARIZED SIGNAL
Научный вестник МГТУ ГА, 2018 Often, the monitoring systems solution of remote sensing problems, recognition (classification, discrimination) of radar objects using radio polarimetry methods is required in real time mode with the display of the current information on the radar ...
P. E. Korneev
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Correlation-based Graph Smoothness Measures In Graph Signal Processing
, 2023 Publisher Copyright: © 2023 European Signal Processing Conference, EUSIPCO. All rights reserved.Graph smoothness is an important prior used for designing sampling strategies for graph signals as well as for regularizing the problem of graph learning ...
Miettinen, Jari +3 more
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Demodulating BOC signals using compressive signal processing
Dianzi Jishu Yingyong, 2019 In order to lower the sampling frequency of binary offset carrier(BOC) signal, a BOC signal demodulation scheme based on compressive signal processing is proposed.
Song Peng, He Guodong
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Известия высших учебных заведений России: Радиоэлектроника, 2021 Introduction. The digital representation of received radar signals has provided a wide range of opportunities for their processing. However, the used hardware and software impose some limits on the number of bits and sampling rate of the signal at all ...
S. R. Heister, V. V. Kirichenko
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New Directions In Sparse Sampling and Estimation For Underdetermined Systems [PDF]
, 2013 A central objective in signal processing is to infer meaningful information from a set of measurements or data. While most signal models have an overdetermined structure (the number of unknowns less than the number of equations), traditionally very few ...
Piya Pal, Pal, Piya
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Generalized rejection sampling schemes and applications in signal processing [PDF]
Signal Processing, 2010 Bayesian methods and their implementations by means of sophisticated Monte Carlo techniques, such as Markov chain Monte Carlo (MCMC) and particle filters, have become very popular in signal processing over the last years. However, in many problems of practical interest these techniques demand procedures for sampling from probability distributions with ...
Luca Martino, Joaquín Míguez
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