Results 21 to 30 of about 1,138 (212)

No-Go theorem for sampling-based signal processing [PDF]

open access: yes2014 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
openaire   +1 more source

Demodulating BOC signals using compressive signal processing

open access: yesDianzi 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
doaj   +1 more source

Influence of Analog-To-Digital Conversion and Decimation Parameters on the Signal-To-Noise Ratio in the Radar Path

open access: yesИзвестия 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
doaj   +1 more source

Adaptive Processing With Signal Contaminated Training Samples

open access: yesIEEE Transactions on Signal Processing, 2013
We consider the adaptive beamforming or adaptive detection problem in the case of signal contaminated training samples, i.e., when the latter may contain a signal-like component. Since this results in a significant degradation of the signal to interference and noise ratio at the output of the adaptive filter, we investigate a scheme to jointly detect ...
Olivier Besson, Stéphanie Bidon
openaire   +3 more sources

Generalized rejection sampling schemes and applications in signal processing [PDF]

open access: yesSignal 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
openaire   +3 more sources

Design of Acoustic Signal for Positioning of Smart Devices

open access: yesSensors, 2023
This paper addresses the limitations of using smartphones in innovative localization systems based on audio signal processing, particularly in the frequency range of 18–22 kHz, due to the lack of technical specifications and noise characterization.
Veronika Hromadova   +2 more
doaj   +1 more source

A Signal Processing View on Packet Sampling and Anomaly Detection [PDF]

open access: yes2010 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
openaire   +1 more source

Phased Fractional Lower-Order Cyclic Moment Processed in Compressive Signal Processing

open access: yesIEEE Access, 2019
In signal processing research, cyclostationarity and fractional lower-order statistics (FLOS) are two important solutions to non-stationary signals and non-Gaussian noises, respectively.
Tao Liu   +4 more
doaj   +1 more source

Adaptive Rate Sampling and Filtering Based on Level Crossing Sampling

open access: yesEURASIP Journal on Advances in Signal Processing, 2009
The recent sophistications in areas of mobile systems and sensor networks demand more and more processing resources. In order to maintain the system autonomy, energy saving is becoming one of the most difficult industrial challenges, in mobile computing.
Saeed Mian Qaisar   +2 more
doaj   +1 more source

Imaging Method for Co-prime-sampling Space-borne SAR Based on 2D Sparse-signal Reconstruction

open access: yesLeida xuebao, 2020
Co-prime-sampling space-borne Synthetic Aperture Radar (SAR) replaces the traditional uniform sampling by performing co-prime sampling in azimuth, which effectively alleviates the conflict between spatial resolution and effective swath width, while also
ZHAO Wanwan   +3 more
doaj   +1 more source

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