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Open AccessProceedings ArticleDOI

Spectral analysis of a signal driven sampling scheme

TLDR
A new spectral analysis technique is devised to combine the features of both uniform and non-uniform signal processing chains in order to obtain a good spectrum quality with low computational complexity.
Abstract
This work is a part of a drastic revolution in the classical signal processing chain required in mobile systems. The system must be low power as it is powered by a battery. Thus a signal driven sampling scheme based on level crossing is adopted, delivering non-uniformly spaced out in time sampled points. In order to analyse the non-uniformly sampled signal obtained at the output of this sampling scheme a new spectral analysis technique is devised. The idea is to combine the features of both uniform and non-uniform signal processing chains in order to obtain a good spectrum quality with low computational complexity. The comparison of the proposed technique with General Discrete Fourier transform and Lomb's algorithm shows significant improvements in terms of spectrum quality and computational complexity.

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Citations
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Journal ArticleDOI

Adaptive rate filtering a computationally efficient signal processing approach

TL;DR: In this article, the adaptive rate filtering technique based on a level crossing sampling is devised. And the computational complexities and output qualities of the proposed techniques are compared to the classical one for a speech signal.
Proceedings ArticleDOI

An efficient signal acquisition with an adaptive rate A/D conversion

TL;DR: An adaptive rate ADC which is based on the cross-level sampling is devised which provides an intelligent signal acquisition which leads towards an efficient solution in the analog to digital conversion system.
Journal ArticleDOI

An adaptive resolution computationally efficient short-time Fourier transform

TL;DR: An enhanced version of the short-time Fourier transform, which is based on the cross-level sampling, is devised, which can adapt the sampling frequency and the window function length by following the input signal local characteristics.
Proceedings ArticleDOI

Computationally efficient adaptive rate sampling and filtering

TL;DR: The computational complexity of the proposed filtering technique is deduced and compared to the classical FIR filtering technique and it promises a significant gain of the computational efficiency and hence of the processing power.
Proceedings ArticleDOI

Event-based sampling strategies in networked control systems

TL;DR: The aim of this paper is to review event-based sampling strategies in terms of analytical evaluation of the mean traffic rate produced to the communication channel and the Lyapunov sampling as a scheme that addresses control system stability is surveyed.
References
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Journal ArticleDOI

Least - squares frequency analysis of unequally spaced data

TL;DR: In this article, the statistical properties of least-squares frequency analysis of unequally spaced data are examined and it is shown that the reduction in the sum of squares at a particular frequency is a X22 variable.
Journal ArticleDOI

A level-crossing sampling scheme for A/D conversion

TL;DR: In this paper, a sampling scheme that is based on multiple level-crossings is presented, which generates samples of the input signal that are nonuniformly spaced in time by recording the time instants at which the signal crosses any of the fixed quantization levels.
Journal ArticleDOI

A Nonuniform Sampling Approach to Data Compression

TL;DR: Results obtained in the encoding of a band-limied Gaussian source and a rasterscanned black and white still image reveal that an NSE/RLE or NSPC/ RLE system exhibits performance superior to that of an adaptive delta modulation system.
Proceedings ArticleDOI

A new class of asynchronous A/D converters based on time quantization

TL;DR: This work presents a new class of Analog-to-Digital Converters (ADCs), based on an irregular sampling of the analog signal, and an asynchronous design, which leads to a significant reduction in terms of hardware complexity and power consumption.
Journal ArticleDOI

Error-Free Recovery of Signals from Irregularly Spaced Samples

Frederick J. Beutler
- 01 Jul 1966 - 
TL;DR: Error free recovery of signals from irregularly spaced samples in terms of completeness of sets of nonharmonic exponentials has been studied in this paper, where the completeness is defined as the number of non-harmonic non-exponentials.