Results 11 to 20 of about 3,407,717 (355)
Pulse-Doppler Signal Processing with Quadrature Compressive Sampling [PDF]
IEEE Transactions on Aerospace and Electronic Systems, 2013 Quadrature compressive sampling (QuadCS) is a recently introduced sub-Nyquist sampling scheme for effective acquisition of inphase and quadrature (I/Q) components of sparse radio frequency signals.
Chao Liu +3 more
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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, Joaquı́n Mı́guez
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Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies [PDF]
IEEE Transactions on Signal Processing, 2018 Submitted to IEEE Transactions on Signal Processing, September ...
Paolo Di Lorenzo +4 more
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Sub-Nyquist sampling of sparse and correlated signals in array processing [PDF]
Digital Signal Processing, 2023 This paper considers efficient sampling of simultaneously sparse and correlated (S$\&$C) signals. Such signals arise in various applications in array processing. We propose an implementable sampling architecture for the acquisition of S$\&$C at a sub-Nyquist rate.
Ali Ahmed, Fahad Shamshad, Humera Hameed
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Quadrature Demodulation Method for Resolver Signal Processing Under Different Sampling Rate
IEEE Access, 2022 Resolvers are widely used as position sensors to obtain angle information. The resolver requires the excitation signal and its amplitude is modulated by the rotor position.
Pooreum Jang +3 more
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Localized nonlinear functional equations and two sampling problems in signal processing
Advances in Computational Mathematics, 2013 Let 1 ≤ p ≤ ∞. In this paper, we consider solving a nonlinear functional equation f (x) = y, where x, y belong to ℓpand f has continuous bounded gradient in an inverse-closed subalgebra of ℬ (ℓ2), the Banach algebra of all bounded linear operators on the
Qiyu Sun
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Signal Processing for Novel Noise Radar Based on de-chirp and Delay Matching [PDF]
SensorsModern radar technology requires high-quality signals and detection performance. However, traditional frequency-modulated continuous wave (FMCW) radar often has poor anti-jamming capabilities, and the high sampling rates associated with large time ...
Xinquan Cao +6 more
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On the choice of the number of samples in laser Doppler anemometry signal processing [PDF]
Optical Engineering, 2001 The minimum number of samples that must be taken from a sinusoidal signal affected by white Gaussian noise, in order to find its frequency with a predetermined maximum error, is derived. This analysis is of interest in evaluating the performance of velocity-measurement systems based on the Doppler effect.
Federico Dios +2 more
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Discretely sampled signals and the rough Hoff process
Stochastic Processes and their Applications, 2016 We introduce a canonical method for transforming a discrete sequential data set into an associated rough path made up of lead-lag increments. In particular, by sampling a $d$-dimensional continuous semimartingale $X:[0,1] \rightarrow \mathbb{R}^d$ at a set of times $D=(t_i)$, we construct a piecewise linear, axis-directed process $X^D: [0,1 ...
Guy Flint, Ben Hambly, Terry Lyons
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Graph Signal Processing: Modulation, Convolution, and Sampling
, 2019 To analyze data supported by arbitrary graphs G, DSP has been extended to Graph Signal Processing (GSP) by redefining traditional DSP concepts like shift, filtering, and Fourier transform among others. This paper revisits modulation, convolution, and sampling of graph signals as appropriate natural extensions of the corresponding DSP concepts.
J. Y. Shi, José M. F. Moura
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