By A. McCormick, A. K. Nandi (auth.), Asoke Kumar Nandi (eds.)
In the signal-processing learn neighborhood, loads of growth in higher-order statistics (HOS) begun within the mid-1980s. those final fifteen years have witnessed a lot of theoretical advancements in addition to genuine functions. Blind Estimation UsingHigher-Order Statistics makes a speciality of the blind estimation sector and documents a few of the significant advancements during this box.
Blind Estimation utilizing Higher-Order Statistics is a welcome boost to the few books with reference to HOS and is the 1st significant booklet dedicated to overlaying blind estimation utilizing HOS. The booklet offers the reader with an advent to HOS and is going directly to illustrate its use in blind sign equalisation (which has many functions together with (mobile) communications), blind procedure identity, and blind assets separation (a normal challenge in sign processing with many functions together with radar, sonar and communications). there's additionally a bankruptcy dedicated to powerful cumulant estimation, a big challenge the place HOS effects were encouraging.
Blind Estimation utilizing Higher-Order Statistics is a useful reference for researchers, execs and graduate scholars operating in sign processing and similar areas.
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Additional info for Blind Estimation Using Higher-Order Statistics
A. Brown, and H. H. Loomis. Computationally efficient algorithms for cyclic spectral analysis. IEEE Signal Processing Magazine, 8(2):38- 49, April 1991.  O. Shalvi and E. Weinstein. New criteria for blind deconvolution of nonminimum phase systems (channels). IEEE Transactions on Information Theory, IT-36:312--321, 1990.  C. M. Spooner and W. A. Gardner. The cumulant theory of cyclostationary time-series, part ii: Development and applications. IEEE Transactions on Signal Processing, SP-42:3409-3429, Dec 1994.
Nandi, and K. Schelhorn. Unified approach to trimmed mean estimation and its application to bispectrum of eeg signals. J. , 333B:369-383, 1996.  S. L. Marple Jr. Digital Spectral Analysis with Applications. Prentice Hall, Englewood Cliffs, New Jersey, 1987. [1:3] The Math Works Inc. Mat/ab Reference Guide, 199,5. 25 26 1. HIGHER-ORDER STATISTICS  A. K. Nandi and D. Mampel. Development of an adaptive generalised trimmed mean estimator to compute third-order cumulants. Signal Frocessing, 57:271-282, 1997.
This means that the alphabet used to represent data has M (more than two) symbols. It is also customary in modern modems to use two dimensional modulation schemes. Symbols have amplitude as well as phase, and are visualised in complex space with real (in-phase) and imaginary (quadrature-phase) parts. Performance of the algorithms presented in the sequel will be illustrated experimentally. In the simulations we will use data that are random-generated from modulation schemes in common use. 29 as examples.