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Transient Signal Analysis by Means of Orthonormal Functions

Transient Signal Analysis by Means of Orthonormal Functions
Author: Azizul H. Quazi
Publisher:
Total Pages: 40
Release: 1967
Genre:
ISBN:

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A preliminary quantitative analysis of transient signals of different amplitudes and durations was performed in an attempt to find a suitable approach to transient signal processing. The transient signals were assumed to fall into certain classes of waveform that can be described roughly by appropriate functions. It was found that a wide range of transient signals of different shapes can be accommodated by an orthonormal filter system based on the criterion of minimum energy in the error signal. (Author).


Conference Record

Conference Record
Author:
Publisher:
Total Pages: 1012
Release: 1998
Genre: Automatic control
ISBN:

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Time-Frequency Signal Analysis and Processing

Time-Frequency Signal Analysis and Processing
Author: Boualem Boashash
Publisher: Academic Press
Total Pages: 1070
Release: 2015-12-11
Genre: Technology & Engineering
ISBN: 0123985250

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Time-Frequency Signal Analysis and Processing (TFSAP) is a collection of theory, techniques and algorithms used for the analysis and processing of non-stationary signals, as found in a wide range of applications including telecommunications, radar, and biomedical engineering. This book gives the university researcher and R&D engineer insights into how to use TFSAP methods to develop and implement the engineering application systems they require. New to this edition: New sections on Efficient and Fast Algorithms; a "Getting Started" chapter enabling readers to start using the algorithms on simulated and real examples with the TFSAP toolbox, compare the results with the ones presented in the book and then insert the algorithms in their own applications and adapt them as needed. Two new chapters and twenty three new sections, including updated references. New topics including: efficient algorithms for optimal TFDs (with source code), the enhanced spectrogram, time-frequency modelling, more mathematical foundations, the relationships between QTFDs and Wavelet Transforms, new advanced applications such as cognitive radio, watermarking, noise reduction in the time-frequency domain, algorithms for Time-Frequency Image Processing, and Time-Frequency applications in neuroscience (new chapter). A comprehensive tutorial introduction to Time-Frequency Signal Analysis and Processing (TFSAP), accessible to anyone who has taken a first course in signals Key advances in theory, methodology and algorithms, are concisely presented by some of the leading authorities on the respective topics Applications written by leading researchers showing how to use TFSAP methods


Transient Signal Detection and Time Delay Estimation Using Higher Order Correlations and Spectra

Transient Signal Detection and Time Delay Estimation Using Higher Order Correlations and Spectra
Author:
Publisher:
Total Pages: 28
Release: 1993
Genre:
ISBN:

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This memorandum report contains a current summary of the authors' research on detection and time delay estimation for acoustic or other transients for which only one short-time realization exists. Thus, an energy signal model is used, rather than a power signal model. The energy signal model is more realistic for a brief transient, such as might be generated by a tool dropping on a metal floor or the return of an active sonar ping. Performance analysis is done for detection and time delay estimation of these transients embedded in Gaussian noise over a domain of signal-to-noise ratios. Monte Carlo simulations and hypothesis testing are used to generate receiver operating characteristic (ROC) curves to compare higher order and ordinary correlation detector and time delay estimator performance. Results indicate that for signals of high skewness and kurtosis, the higher order methods significantly outperform the cross correlation detector and time delay estimator. For signals of low skewness and kurtosis, rectification before detection often improves higher order detection to levels comparable to or even surpassing that of the cross correlator. For both signal classes, if the signal passband is approximately known, prefiltering prior to detection significantly improves higher order correlator performance. In the active sonar case, the higher order correlators with prefiltering can outperform the matched filter by more than 4 dB. Even larger improvements are observed in the passive case ... Altimetry, Mesoscale oceanography, Ocean forecasting.


Microelectronics, II.

Microelectronics, II.
Author:
Publisher:
Total Pages: 178
Release: 1983
Genre: Microelectronics
ISBN:

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How and Why Does Spatial-Hearing Ability Differ among Listeners? What Is the Role of Learning and Multisensory Interactions?

How and Why Does Spatial-Hearing Ability Differ among Listeners? What Is the Role of Learning and Multisensory Interactions?
Author: Guillaume Andéol
Publisher: Frontiers Media SA
Total Pages: 255
Release: 2016-08-29
Genre: Directional hearing
ISBN: 2889198561

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Spatial-hearing ability has been found to vary widely across listeners. A survey of the existing auditory-space perception literature suggests that three main types of factors may account for this variability: - physical factors, e.g., acoustical characteristics related to sound-localization cues, - perceptual factors, e.g., sensory/cognitive processing, perceptual learning, multisensory interactions, - and methodological factors, e.g., differences in stimulus presentation methods across studies. However, the extent to which these–and perhaps other, still unidentified—factors actually contribute to the observed variability in spatial hearing across individuals with normal hearing or within special populations (e.g., hearing-impaired listeners) remains largely unknown. Likewise, the role of perceptual learning and multisensory interactions in the emergence of a multimodal but unified representation of “auditory space,” is still an active topic of research. A better characterization and understanding of the determinants of inter-individual variability in spatial hearing, and of its relationship with perceptual learning and multisensory interactions, would have numerous benefits. In particular, it would enhance the design of rehabilitative devices and of human-machine interfaces involving auditory, or multimodal space perception, such as virtual auditory/multimodal displays in aeronautics, or navigational aids for the visually impaired. For this Research Topic, we have considered manuscripts that: - present new methods, or review existing methods, for the study of inter-individual differences; - present new data (or review existing) data, concerning acoustical features relevant for explaining inter-individual differences in sound-localization performance; - present new (or review existing) psychophysical or neurophysiological findings concerning spatial hearing and/or auditory perceptual learning, and/or multisensory interactions in humans (normal or impaired, young or older listeners) or other species; - discuss the influence of inter-individual differences on the design and use of assistive listening devices (rehabilitation) or human-machine interfaces involving spatial hearing or multimodal perception of space (ergonomy).