Author : Ralph Beebe Blackman
Publisher :
Page : 220 pages
File Size : 36,81 MB
Release : 1959
Category : Mathematics
ISBN :
An unabridged and corrected republication of Part I and Part II of The measurement of power spectra from the point of view of communications engineering, which originally appeared in the January 1958 and March 1958 issues of volume XXXVII of the Bell system technical journal.
Author : Ralph Beebe Blackman
Publisher :
Page : 190 pages
File Size : 45,15 MB
Release : 1958
Category : Espectros de potencia
ISBN :
Author : P. T. Schoenemann
Publisher :
Page : 24 pages
File Size : 39,55 MB
Release : 1962
Category : Power spectra
ISBN :
The use of standard techniques for measuring the power spectra of stationary phenomena in the treatment of nonstationary physical phenomena can lead to erroneous results. Some of the tools available for the analysis of nonstationary random phenomena are outlined in this report and the applicability of these tools to some practical engineering problems is discussed.
Author : A. F. Barghausen
Publisher :
Page : 30 pages
File Size : 42,94 MB
Release : 1958
Category : Radio
ISBN :
Author : L.V. Jones
Publisher : CRC Press
Page : 630 pages
File Size : 21,88 MB
Release : 1987-05-15
Category : Mathematics
ISBN : 9780534051013
This volume of eleven articles compiles important papers by Tukey that examine the intriguing problems inherent in the area of multiple comparisons and provide a useful framework for thinking about them. Each volume in the set is indexed and contains a bibliography.
Author : Emanuel Parzen
Publisher : Springer Science & Business Media
Page : 432 pages
File Size : 25,92 MB
Release : 2012-12-06
Category : Mathematics
ISBN : 146121694X
The pioneering research of Hirotugu Akaike has an international reputation for profoundly affecting how data and time series are analyzed and modelled and is highly regarded by the statistical and technological communities of Japan and the world. His 1974 paper "A new look at the statistical model identification" (IEEE Trans Automatic Control, AC-19, 716-723) is one of the most frequently cited papers in the area of engineering, technology, and applied sciences (according to a 1981 Citation Classic of the Institute of Scientific Information). It introduced the broad scientific community to model identification using the methods of Akaike's criterion AIC. The AIC method is cited and applied in almost every area of physical and social science. The best way to learn about the seminal ideas of pioneering researchers is to read their original papers. This book reprints 29 papers of Akaike's more than 140 papers. This book of papers by Akaike is a tribute to his outstanding career and a service to provide students and researchers with access to Akaike's innovative and influential ideas and applications. To provide a commentary on the career of Akaike, the motivations of his ideas, and his many remarkable honors and prizes, this book reprints "A Conversation with Hirotugu Akaike" by David F. Findley and Emanuel Parzen, published in 1995 in the journal Statistical Science. This survey of Akaike's career provides each of us with a role model for how to have an impact on society by stimulating applied researchers to implement new statistical methods.
Author : Jeff Austin. Brillinger
Publisher : CRC Press
Page : 764 pages
File Size : 38,46 MB
Release : 1984-02-01
Category : Mathematics
ISBN : 9780412742408
First of an eight-volume set, documenting Tukey's work from the 1940s to the 1980s One of the late 20th Century's leading innovators and influences on data analysis, John W. Tukey's discoveries and methods have greatly impacted the work of statisticians throughout the world. The Collected Works of John W. Tukey begins here, with 14 chapters on time series analysis.
Author : D.R. Cox
Publisher : CRC Press
Page : 344 pages
File Size : 10,41 MB
Release : 1992-04-01
Category : Mathematics
ISBN : 9780412063213
These papers illustrate important features characteristic of John Tukey's work, namely the desire to look beyond or beneath conventional set structures, the wish to detect and deal with anomalous behavior, and great technical ingenuity.
Author : Grant Hearn
Publisher : Butterworth-Heinemann
Page : 321 pages
File Size : 40,90 MB
Release : 1995-08-17
Category : Technology & Engineering
ISBN : 0080541550
This text provides a thorough explanation of the underlying principles of spectral analysis and the full range of estimation techniques used in engineering. The applications of these techniques are demonstrated in numerous case studies, illustrating the approach required and the compromises to be made when solving real engineering problems. The principles outlined in these case studies are applicable over the full range of engineering disciplines and all the reader requires is an understanding of elementary calculus and basic statistics. The realistic approach and comprehensive nature of this text will provide undergraduate engineers and physicists of all disciplines with an invaluable introduction to the subject and the detailed case studies will interest the experienced professional. - No more than a knowledge of elementary calculus, and basic statistics and probability is needed - Accessible to undergraduates at any stage of their courses - Easy and clear to follow
Author : Andrey Popoff
Publisher : CRC Press
Page : 839 pages
File Size : 37,56 MB
Release : 2022-04-19
Category : Technology & Engineering
ISBN : 1000572005
Exploring the interrelations between generalized metric spaces, lattice-ordered groups, and order statistics, the book contains a new algebraic approach to Signal Processing Theory. It describes mathematical concepts and results important in the development, analysis, and optimization of signal processing algorithms intended for various applications. The book offers a solution of large-scale Signal Processing Theory problems of increasing both signal processing efficiency under prior uncertainty conditions and signal processing rate that is provided by multiplication-free signal processing algorithms based on lattice-ordered group operations. From simple basic relationships to computer simulation, the text covers a wide range of new mathematical techniques essential for understanding the proposed signal processing algorithms developed for solving the following problems: signal parameter and spectral estimation, signal filtering, detection, classification, and resolution; array signal processing; demultiplexing and demodulation in multi-channel communication systems and multi-station networks; wavelet analysis of 1D/ 2D signals. Along with discussing mathematical aspects, each chapter presents examples illustrating operation of signal processing algorithms developed for various applications. The book helps readers understand relations between known classic and obtained results as well as recent research trends in Signal Processing Theory and its applications, providing all necessary mathematical background concerning lattice-ordered groups to prepare readers for independent work in the marked directions including more advanced research and development.
