Fisher information and noise-aided power estimation from one-bit quantizers
Section snippets
François Chapeau-Blondeau was born in France in 1959. He received the Engineer Diploma from ESEO, Angers, France, in 1982, the Ph.D. degree in electrical engineering from University Paris 6, Paris, France, in 1987, and the Habilitation degree from the University of Angers, France, in 1994. In 1988, he was a research associate in the Department of Biophysics at the Mayo Clinic, Rochester, MN, USA, working on biomedical ultrasonics. Since 1990, he has been with the University of Angers, France,
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Cited by (21)
Distributed Bayesian vector estimation using noise-optimized low-resolution sensor observations
2021, Digital Signal Processing: A Review JournalCitation Excerpt :In order to reduce the signal distortion and improve the accuracy of parameter estimation, the operation of adding optimal noise before sensors is often employed in practical applications such as audio coding [8], image compression [9], distributed estimation [2–4,10,11], direction-of-arrival [12], and multiple-input multiple-output communications [13], where it is also commonly referred to as dithering [1,5,7,14]. Dithering has been widely investigated for reducing the mean square error (MSE) of deterministic or random parameter estimation [7,10,13,15], or for minimizing the Cramér-Rao lower bound (CRLB) [3,5,6], by means of an optimal amount of added noise. Stochastic resonance [16,17] also represents a broader class of noise-aided phenomena, and has been exploited for noise-improved information processing for various operations, including signal transmission [18–20], detection [21–24] and estimation [19,25,26].
Effects of stochastic resonance for linear-quadratic detector
2015, Chaos, Solitons and FractalsCitation Excerpt :As a consequence, how to enhance the performance of the suboptimal L–Q detector without changing its structure becomes a significant topic. With the preceding as motivation, the effect of adding noise to detector has been widely investigated [2–20]. Noise is usually filtered out by various signal processing algorithms and/or filters.
Concept, analysis, and demonstration of a novel delay network exhibiting stochastic resonance induced by external noise
2015, Digital Signal Processing: A Review JournalCitation Excerpt :Many papers on physics have measured the amplification gain, mainly by using the signal-to-noise ratio [1–3,6,14,15]. Since the goal in signal processing is the detection of a weak signal and/or the transmission of information, some studies have discussed the achieved effect in terms of signal detection performance, including miss-detection and false-detection probabilities [16–19], Fisher information [20] and mutual information [21,22]. The dependence of gain on the noise characteristics has been discussed in [23], and design methods to improve the detection have been reported [24–26].
Weak signal detection: Condition for noise induced enhancement
2013, Digital Signal Processing: A Review JournalCitation Excerpt :Compared with an isolated nonlinearity, the performance of an array can be much improved by the internal noise [3,4,7–10]. Moreover, the positive role of noise does not need to occur for an isolated nonlinearity, but can come into play in a parallel array of nonlinearities [4,7–10]. We here only consider some analytical nonlinearities, e.g. the dead-zone limiter nonlinearity and the locally optimal nonlinearity.
Tuning the noise in magnetic resonance imaging to maximize nonlinear information transmission
2013, Fluctuation and Noise Letters
François Chapeau-Blondeau was born in France in 1959. He received the Engineer Diploma from ESEO, Angers, France, in 1982, the Ph.D. degree in electrical engineering from University Paris 6, Paris, France, in 1987, and the Habilitation degree from the University of Angers, France, in 1994. In 1988, he was a research associate in the Department of Biophysics at the Mayo Clinic, Rochester, MN, USA, working on biomedical ultrasonics. Since 1990, he has been with the University of Angers, France, where he is currently a professor of electronic and information sciences. His research interests include nonlinear systems and signal processing, and the interface between physics and information sciences.
Solenna Blanchard received a M.Sc. degree in signal processing in 2004 and a M.Sc. degree in electronics in 2005, both from the University of Rennes, France. She is currently a Ph.D. student in the field of nonlinear signal processing and stochastic resonance at the University of Angers, France.
David Rousseau was born in 1973 in France. He received the Master degree in acoustics and signal processing from the Institut de Recherche Coordination Acoustique et Musique (IRCAM), Paris, France, in 1996. He received, in 2004, the Ph.D. degree in nonlinear signal processing and stochastic resonance at the Laboratoire d'Ingénierie des Systèmes Automatisés (LISA), University of Angers where he is currently a Maître de Conférences of physics and information sciences.