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Journal ArticleDOI

Generalization of spectral flatness measure for non-Gaussian linear processes

Shlomo Dubnov
- 26 Jul 2004 - 
- Vol. 11, Iss: 8, pp 698-701
TLDR
An information-theoretic measure for the amount of randomness or stochasticity that exists in a signal is presented, formulated in terms of the rate of growth of multi-information for every new signal sample of the signal that is observed over time.
Abstract
We present an information-theoretic measure for the amount of randomness or stochasticity that exists in a signal. This measure is formulated in terms of the rate of growth of multi-information for every new signal sample of the signal that is observed over time. In case of a Gaussian statistics it is shown that this measure is equivalent to the well-known spectral flatness measure that is commonly used in audio processing. For nonGaussian linear processes a generalized spectral flatness measure is developed, which estimates the excessive structure that is present in the signal due to the nonGaussianity of the innovation process. An estimator for this measure is developed using Negentropy approximation to the non-Gaussian signal and the innovation process statistics. Applications of this new measure are demonstrated for the problem of voiced/unvoiced determination, showing improved performance.

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Citations
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Journal ArticleDOI

Digital Coding of Waveforms

K.H. Barratt
Journal ArticleDOI

The use of bioacoustics in anuran taxonomy: theory, terminology, methods and recommendations for best practice

TL;DR: It is shown that small-sized frogs often emit calls with frequency components in the ultrasound spectrum, although it is unlikely that these high frequencies are of biological relevance for the majority of them, and it is illustrated that detection of upper harmonics depends also on recording distance because higher frequencies are attenuated more strongly.
Patent

System and Method for Allocating Jamming Energy Based on Three-Dimensional Geolocation of Emitters

Ning Hsing Lu
TL;DR: In this article, the authors proposed a three-dimensional (3-D) emitter geolocation technique that determines the geolocations of radio frequency (RF) emitters based on energy or received signal strength (RSS) and/or time differences of arrival (TDOAs) of transmitted signals.
Patent

System and method for three-dimensional geolocation of emitters based on energy measurements

TL;DR: In this article, a three-dimensional (3D) energy-based emitter geolocation technique was proposed to determine the location of a radio frequency (RF) emitter based on energy or received signal strength (RSS) of transmitted signals.
Patent

System and method for direction finding and geolocation of emitters based on line-of-bearing intersections

TL;DR: In this paper, an emitter geolocation technique is proposed to determine the location of a radio frequency (RF) emitter using pair-wise line-of-bearing intersections that are derived from signal-to-noise ratios of transmitted signals received at a sensor.
References
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TL;DR: The author examines the role of entropy, inequality, and randomness in the design of codes and the construction of codes in the rapidly changing environment.
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Probability, random variables and stochastic processes

TL;DR: This chapter discusses the concept of a Random Variable, the meaning of Probability, and the axioms of probability in terms of Markov Chains and Queueing Theory.
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Random variables and stochastic processes

TL;DR: An electromagnetic pulse counter having successively operable, contact-operating armatures that are movable to a rest position, an intermediate position and an active position between the main pole and the secondary pole of a magnetic circuit.

Digital Coding of Waveforms

Peter No