## Fourier Analysis of Time Series: An IntroductionA 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 exercises acquaint readers with Fourier analysis and its applications. The Second Edition: - Devotes an entire chapter to complex demodulation
- Treats harmonic regression in two separate chapters
- Features a more succinct discussion of the fast Fourier transform
- Uses S-PLUS commands (replacing FORTRAN) to accommodate programming needs and graphic flexibility
- Includes Web addresses for all time series data used in the examples
An invaluable reference for statisticians seeking to expand their understanding of frequency domain methods, |

### What people are saying - Write a review

### Contents

1 | |

2 Fitting Sinusoids | 9 |

3 The Search for Periodicity | 25 |

4 Harmonic Analysis | 37 |

5 The Fast Fourier Transform | 57 |

6 Examples of Harmonic Analysis | 63 |

7 Complex Demodulation | 97 |

8 The Spectrum | 133 |

9 Some Stationary Time Series Theory | 167 |

10 Analysis of Multiple Series | 201 |

11 Further Topics | 233 |

247 | |

Author Index | 255 |

257 | |

### Other editions - View all

### Common terms and phrases

### References to this book

Time Series Analysis and Its Applications Robert H. Shumway,David S. Stoffer No preview available - 2000 |