Chaos shift keying in the presence of noise: a simple discrete time example
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A new chaos-based technique for modelling the diversity of approximately periodic signals is introduced and exploited, combined with generalized chaotic synchronization phenomena, for the solution of temporal pattern recognition problems ...
A new chaos-based technique for modeling the diversity of approximately periodic signals is introduced and exploited, combined with generalized chaotic synchronization phenomena, for the solution of temporal pattern recognition problems ...
This article presents a neural recording amplifier suitable for large-scale integration with multi-electrode arrays (MEAs) in very low-power microelectronic cortical implants. The proposed amplifier is the most energy-efficient structure reported to date, ...
The extraction of information from measured data about the interactions taking place in a network of systems is a key topic in modern applied sciences. This topic has been traditionally addressed considering bivariate time series, providing methods that ar ...
In this paper, an approach based on ergodic properties for classifying sequences is given. It is particularly robust due to the open loop structure of the detector. Unlike previous works in this direction, such as those concerning the inverse system approa ...
We provide lower and upper bounds on the optimal rate for reliable and secret transmission of a message from one node to another in an arbitrary wireless network with deterministic signal interaction. Certain relay nodes are allowed to insert noise into th ...
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After years of intensive research effort, the design of RF integrated circuits in CMOS has now reached a wide acceptance for industrial designs. This is due to the high unity gain frequency and low-noise performance of today's deep sub micrometer MOS trans ...
The master-slave synchronization of two chaotic systems that interact over a noisy channel is analyzed from an information theoretic point of view. It is argued that arbitrarily precise synchronization, in the sense of the mean square synchronization error ...
This paper addresses the problem of sensing or recovering a signal s, captured by distributed low-complexity sensors. Each sensor observes a noisy version of the signal of interest, and independently forms an approximant of its observation. This approximan ...
This article introduces a novel technique for estimating the signal power spectral density to be used in the transfer function of a microphone array post-filter. The technique is a generalisation of the existing Zelinski post-filter, which uses the auto- a ...