Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: Cotswold Internet Books, Cheltenham, United Kingdom
Condition: Used - Very Good. VG paperback. Scanned digital reprint of Research Report EM-151 (1960, NYU). Minor crease at corner of front cover Used - Very Good. VG paperback.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: Forgotten Books, London, United Kingdom
Paperback. Condition: New. Print on Demand. This book explores the concept of creating a family of non-Gaussian random step functions, all sharing the same power spectrum, that converge to the Gaussian process with the same spectrum as the number of members in the family becomes very large. The author illustrates how to calculate the multivariate distribution of processes and shows how a constructed univariate entropy can serve as an indicator of the extent to which the family has approached the Gaussian limit. The author's findings give insight into the inadequacy of correlation functions and power spectra as a means of characterizing random processes and emphasize the need for higher-order statistics. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.