Results 111 to 120 of about 52,562 (156)

Automatic Modulation Classification Using Moments and Likelihood Maximization

IEEE Communications Letters, 2018
Motivated by the fact that moments of the received signal are easy to compute and can provide a simple way to automatically classify the modulation of the transmitted signal, we propose a hybrid method for automatic modulation classification that lies in the intersection between likelihood-based and feature-based classifiers. Specifically, the proposed
Mohannad Abu-Romoh, Ahmed Aboutaleb, Zouheir Rezki   +2 more
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Worst Moments Module

2008
Chapter 10 continues utilising the exposure technique with increasing focus on the emotional processing of the 'worst moments', or most distressing parts of the trauma as the general recounting of the trauma memory becomes easier.
Edna B. Foa, Kelly R. Chrestman, Eva Gilboa-Schechtman   +2 more
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Robust QAM modulation classification via moment matrices

11th IEEE International Symposium on Personal Indoor and Mobile Radio Communications. PIMRC 2000. Proceedings (Cat. No.00TH8525), 2000
We discuss a method for classification of digitally modulated signals based on performing subspace decomposition on a positive definite matrix of higher order moments of the received signals. Specifically, we specialize a general approach originally introduced for detection and classification of noise contaminated patterns to the case of digitally ...
Hafez Hadinejad-Mahram, Alfred O. Hero III   +1 more
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MA-model identification using modulated moment sequences [PDF]

Signal Processing, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Moment Maps and Jacobian Modules

Annals of Global Analysis and Geometry, 2000
Let \((M,\omega)\) be a symplectic manifold with an action of a compact Lie group \(G\) which preserves the symplectic form. When the action is Hamiltonian there is a moment map \(\phi: M\to{\mathfrak g}^*\) where \({\mathfrak g}^*\) is the dual of the Lie algebra \({\mathfrak g}\) of \(G\). In [J. Differ. Geom. 49, No. 1, 183-201 (1998; Zbl 0920.57010)
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Aerodynamic Forces and Moments for a Re-Entry Module

Journal of Spacecraft and Rockets, 1997
Experimental investigations have been carried out to characterize the aerodynamic behavior of a re-entry body, basedontheApolloshape,atraree edandhypersonice owconditions.Thepresentexperimentshavebeenconducted at a Mach number close to 20 and at rarefaction levels covering the near-continuum and transitional e ow regimes.
J. Allegre, M. Raffin, J. C. Lengrand, A. Chpoun   +3 more
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Modulation Classification based on Statistical Moments

MILCOM 1986 - IEEE Military Communications Conference: Communications-Computers: Teamed for the 90's, 1986
The ability to identify the modulation of an arbitrary signal is desirable for a number of reasons, including signal confirmation, interference identification, and the selection of proper demodulators. A modulation classification algorithm using statistical pattern recognition techniques has been developed and tested on numerically simulated signals ...
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The identification of wavelet modulation based on trigonometric moments

IET Conference on Wireless, Mobile and Sensor Networks 2007 (CCWMSN07), 2007
Wavelet modulation (WM) is a new type of modulation. This paper mainly studies the identification of wavelet modulated signals. Since the signal's instantaneous frequency evaluated with radian is circular, we extract a feature which is based on high order trigonometric moment of signals' instantaneous frequency to identify wavelet modulation.
null Jinqiang Tian, null Xianghong Tang, null Yueli Li   +2 more
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Modulation classification based on amplitude and cosine moments

2009 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, 2009
A new modulation classification method for M-ary QAM (MQAM) is proposed in this paper. Our method employs two dimensional decision variable composed of amplitude and cosine moments. Numerical results of the classification error probability show that the method presents superior classification performance for MQAM compared with amplitude moments or ...
Shinji Ohara, Masato Kita, Ikuo Oka, Shingo Ata   +3 more
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Block length estimation for block orthogonal modulations by cyclic moments

2012 International Symposium on Intelligent Signal Processing and Communications Systems, 2012
Modulation identification is becoming more and more important for an efficient use of radio spectrum in cognitive radio. In this paper, a block length estimation methods are presented for the modulation identification of block orthogonal modulations.
Ikuo Oka, Takafumi Kinugasa, Shingo Ata
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