Results 211 to 218 of about 18,107 (218)

Murray Rosenblatt and cumulant/higher-order/poly spectra

2011
The bispectrum, or third order spectrum, of a stationary process has been around at least since the early 50s, for example it appeared in the paper Tukey (1953). It was studied in some detail in John Van Ness’s thesis, “Estimates of the Bispectrum of Stationary Random Processes”, supervised by Murray Rosenblatt. A 1965 Annals of Mathematical Statistics
Richard A. Davis, Keh-Shin Lii, Dimitris N. Politis   +2 more
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Blind equalization using higher order cumulants and neural network

IEEE Transactions on Signal Processing, 1994
The paper develops a new method to achieve blind equalization in digital communication for linear finite impulse response (FIR) systems, whether the systems are minimum phase or not. This new approach divides the problem into two parts. First, it employs the characteristic of the linear system to estimate the original channel based on the fourth-order ...
null Shaomin Mo, B. Shafai
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Higher-order cyclic cumulants for high order modulation classification

IEEE Military Communications Conference, 2003. MILCOM 2003., 2004
In this paper we investigate automatic modulation classification (AMC) using homogeneous feature-vectors based on cyclic cumulants (CCs) of fourth-, sixth- and eight-orders, respectively, for QAM, PSK and ASK signals within a pattern recognition framework.
O.A. Dobre, Y. Bar-Ness, null Wei Su
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A fast algorithm for estimating higher-order cumulants

Proceedings of Third International Conference on Signal Processing (ICSP'96), 2002
In many problems of digital signal processing, it is required to estimate higher-order cumulants of a given process. We present a fast, inexpensive, and unbiased cumulant estimator. This estimator is based on, a polarity scheme. Unbiasedness is achieved by the addition of statistically independent auxiliary noise sources to the input signals.
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What higher order cumulants may reveal on the seismogram

Proceedings, 1996
Commonly, signal processing only uses second order statistics (auto correlation or power spectrum). Additional information contained in higher order statistics (spectra) is lost. The aim of this paper is to expound the variety of useful properties of higher order correlation functions for reflection time series.
A. Weiss, S. Treitel
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Hierarchical digital modulation recognition based on higher-order cumulants

2012 Second International Conference on Instrumentation, Measurement, Computer, Communication and Control, 2012
Yu Han, GuoHua Wei, Chunyun Song, LanJian Lai   +3 more
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HIGHER ORDER CUMULANTS FOR BROADBAND SIGNAL ARRIVAL ESTIMATION

Sonar Signal Processing 1991
AG CONSTANTINIDES, TE CURTIS, JA CHAMBERS   +2 more
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Optimal Super Exponential blind deconvolution using higher order cumulants

1998
SCARANO, Gaetano, PANCI G.
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