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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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Quadrature Demodulation Method for Resolver Signal Processing Under Different Sampling Rate [PDF]
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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An Under-Sampling Array Signal Processing Method Based on Improved Hadamard Matrix [PDF]
Applied Sciences, 2022 The compressive sensing method is an effective way of under-sampling array signal processing, and the measurement matrix is a key technology of compressive sensing processing, which is of decisive significance to improve the performance of under-sampling
Tongjing Sun +4 more
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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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Discretely sampled signals and the rough Hoff process [PDF]
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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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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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. In applications to pulse-Doppler radars, the QuadCS outputs can be arranged into a two-dimensional data format, in terms of slow time and virtual fast time,
Chao Liu +3 more
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Experimental Study on Sampling Theorem in Signal Processing
Journal La Multiapp, 2021 This practicum is to define the study properties of the sampling theorem. Understand the effect of selecting the sample size and its effect on the signal recovery process. The experiment utilizes a computer or portable workstation to run an examination of the hypothesis reenactment program. From the test information gotten, it can be concluded that the
Nyein Mynt, Zaw Win Aung, Kairong Lin
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Rethinking sketching as sampling: A graph signal processing approach [PDF]
Signal Processing, 2019 Submitted to Elsevier Signal ...
Fernando Gama +3 more
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Signal processing via sampled-data control theory
Impact, 2020 Digital sounds and images are used everywhere today, and they are all generated originally by analogue signals. On the other hand, in digital signal processing, the storage or transmission of digital data, such as music, videos or image files, necessitates converting such analogue signals into digital signals via sampling. When these data are sampled,
Yutaka Yamamoto +3 more
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