Results 221 to 230 of about 20,190 (261)

An improved Viterbi algorithm for IF extraction of multicomponent signals

Signal, Image and Video Processing, 2017
Viterbi algorithm (VA) applied to time–frequency (TF) representation is a highly performed instantaneous frequency (IF) estimator for discrete-time signals, but it suffers from switch problem (SP) at the intersected points of multicomponents on TF plane.
Po Li, Qing-Hai Zhang
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An Algorithm for Parameter Estimation of Multicomponent Chirp Signals

2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006
This paper presents an algorithm for estimating the parameters of multicomponent chirp signals. The estimator is based on the cubic phase function (CPF), which is efficient to estimate the parameters of monocomponent polynomial phase signals (PPS) with order is less than or equal to 3.
Jianyu Yang, Pu Wang, Jintao Xiong
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On the instantaneous frequencies of multicomponent AM-FM signals

IEEE Signal Processing Letters, 1998
We study the instantaneous frequencies (IFs) of multicomponent AM-FM signals by extending the work on the two-component case by Loughlin and Tacer (see ibid.,, vol. 4, no.5, p.123-25, 1997) to the more general M-component case. A novel necessary and sufficient condition for the valid interpretation of the IF as a nonnegatively weighted average of the ...
Dong Wei 0003, Alan C. Bovik
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Refinement in the estimation of multicomponent polynomial-phase signals

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012
In this paper, we consider precise parameter estimation of multicomponent polynomial-phase signals (mc-PPSs). Two estimation refinement methods are proposed and both are initialized by coarse estimates provided by any technique for the mc-PPS estimation.
Slobodan Djukanovic, Marko Simeunovic, Igor Djurovic   +2 more
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Receiver psychology and the evolution of multicomponent signals

Animal Behaviour, 1999
Many animals produce and respond to signals made up of multiple components. For example, many avian sexual displays are highly extravagant combinations of visual and acoustic elements, and are described as being 'multicomponent'. One possible reason for the evolution of such complex signals is that they provide more reliable information for receivers ...
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Multicomponent Signal Decomposition Using Morphological Operations

2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), 2018
In this paper, we consider the component decomposition (CD) problem in a non-stationary multicomponent signal (MCS). A new technique by manipulation of morphological operations is developed to solve the CD problem. The spectrogram of the MCS is first converted into a binary image.
Huiping Zhuang, Beom-Seok Oh, Dongyun Lin, Kar-Ann Toh, Zhiping Lin 0001   +4 more
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Estimation of amplitude and phase parameters of multicomponent signals

IEEE Transactions on Signal Processing, 1995
This paper considers the problem of estimating signals consisting of one or more components of the form a(t)e/sup j/spl phi/(t/), where the amplitude and phase functions are represented by a linear parametric model. The Cramer-Rao bound (CRB) on the accuracy of estimating the phase and amplitude parameters is derived.
Benjamin Friedlander, Joseph M. Francos
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Sequential extraction of components of multicomponent PPS signals

1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999
A procedure for parameter estimation of multicomponent polynomial phase signals is presented. This scheme, while restricted to high SNRs, has the advantage of being extremely simple. It is also insensitive to the equal-coefficient identifiability problem of the HAF (high-order ambiguity function) based methods.
Paulo M. Oliveira, Victor A. N. Barroso
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Pitch Perceptibility for Multicomponent Signals

The Journal of the Acoustical Society of America, 1972
In order to get insight into some aspects of periodicity pitch of complex tones, we determined the masked threshold for perception of periodicity pitch. This threshold was defined as the relative power level of white noise needed to mask a 6%-pitch change in a two-interval forced-choice test; it was assumed, on the base of earlier experiments [F.
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Analyzing of multicomponent undersampled signals by HAF

Journal of Electronics (China), 2001
The phenomenon of frequency ambiguity may appear in radar or communication systems. S. Barbarossa(1991) had unwrapped the frequency ambiguity of single component undersampled signals by Wigner-Ville distribution(WVD). But there has no any effective algorithm to analyze multicomponent undersampled signals by now.
Ran Tao, Tao Shan, Siyong Zhou, Yue Wang
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