Fourier analysis of time series : an introduction /
A new, revised edition of a yet unrivaled work on frequency domain analysis. Long recognized for his unique focus on frequency domain methods for the analysis of time series data as well as for his applied, easy-to-understand approach, Peter Bloomfield brings his well-known 1976 work thoroughly up t...
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Main Author: | |
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Format: | Electronic eBook |
Language: | English |
Published: |
New York :
Wiley,
©2000.
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Edition: | 2nd ed. |
Series: | Wiley series in probability and mathematical statistics. Applied probability and statistics.
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Subjects: | |
Online Access: | CONNECT |
MARC
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100 | 1 | |a Bloomfield, Peter, |d 1946- | |
245 | 1 | 0 | |a Fourier analysis of time series : |b an introduction / |c Peter Bloomfield. |
250 | |a 2nd ed. | ||
260 | |a New York : |b Wiley, |c ©2000. | ||
300 | |a 1 online resource (xiv, 261 pages) : |b illustrations | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
490 | 1 | |a Wiley series in probability and statistics. Applied probability and statistics section. | |
500 | |a Wiley EBA |5 TMurS | ||
504 | |a Includes bibliographical references (pages 247-254) and indexes. | ||
505 | 0 | |a 1 Introduction; 2 Fitting Sinusoids; 3 The Search for Periodicity; 4 Harmonic Analysis; 5 The Fast Fourier Transform; 6 Examples of Harmonic Analysis; 7 Complex Demodulation; 8 The Spectrum; 9 Some Stationary Time Series Theory; 10 Analysis of Multiple Series; 11 Further Topics; References; Author Index; Subject Index. | |
520 | |a A new, revised edition of a yet unrivaled work on frequency domain analysis. Long recognized for his unique focus on frequency domain methods for the analysis of time series data as well as for his applied, easy-to-understand approach, Peter Bloomfield brings his well-known 1976 work thoroughly up to date. With a minimum of mathematics and an engaging, highly rewarding style, Bloomfield provides in-depth discussions of harmonic regression, harmonic analysis, complex demodulation, and spectrum analysis. All methods are clearly illustrated using examples of specific data sets, while ample exerci. | ||
588 | 0 | |a Print version record. | |
533 | |a Electronic reproduction. |b [Place of publication not identified] : |c HathiTrust Digital Library, |d 2010. |5 MiAaHDL | ||
650 | 0 | |a Time-series analysis. | |
650 | 0 | |a Fourier analysis. | |
650 | 1 | 2 | |a Fourier Analysis |
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830 | 0 | |a Wiley series in probability and mathematical statistics. |p Applied probability and statistics. | |
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