Results 1 to 10 of about 2,819,720 (335)
Coprime sampling for nonstationary signal in radar signal processing [PDF]
EURASIP Journal on Wireless Communications and Networking, 2013 Estimating the spectrogram of non-stationary signal relates to many important applications in radar signal processing. In recent years, coprime sampling and array attract attention for their potential of sparse sensing with derivative to estimate autocorrelation coefficients with all lags, which could in turn calculate the power spectrum density.
Qiong Wu, Qilian Liang
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Rethinking Sketching as Sampling: A Graph Signal Processing Approach [PDF]
Signal Processing, 2016 Submitted to Elsevier Signal ...
Fernando Gama +3 more
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No-Go theorem for sampling-based signal processing [PDF]
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014 The approximation of linear time-invariant (LTI) systems by sampling series is an important topic in signal processing. However, the convergence of the approximation process is not guaranteed. In this paper we prove that for every sampling pattern that is a complete interpolating sequence there exists a universal stable LTI system such that for every ...
Holger Boche, Ullrich J. Mönich
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A Signal Processing View on Packet Sampling and Anomaly Detection [PDF]
2010 Proceedings IEEE INFOCOM, 2010 Anomaly detection methods typically operate on preprocessed traffic traces. Firstly, most traffic capturing devices today employ random packet sampling, where each packet is selected with a certain probability, to cope with increasing link speeds. Secondly, temporal aggregation, where all packets in a measurement interval are represented by their ...
Daniela Brauckhoff +2 more
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On the effects of signal processing on sample entropy for postural control
PLOS ONE, 2018 Sample entropy, a measure of time series regularity, has become increasingly popular in postural control research. We are developing a virtual reality assessment of sensory integration for postural control in people with vestibular dysfunction and wished to apply sample entropy as an outcome measure. However, despite the common use of sample entropy to
Anat V. Lubetzky +2 more
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Silicon photonics devices for integrated analog signal processing and sampling [PDF]
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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Detecting Network Intrusions Using Signal Processing with Query-Based Sampling Filter [PDF]
EURASIP Journal on Advances in Signal Processing, 2008 This paper presents a novel approach for training a network intrusion detection system based on a query-based sampling (QBS) filter. The proposed QBS filter applies the concepts of data quantization to signal processing in order to develop a novel ...
Jen-Shiang Kouh +2 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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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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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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