Add to ORKGA 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 ampl
A summary of many of the new techniques developed in the last two decades for spectrum analysis of d...
Many natural hazards and other phenomena have cyclic/periodic behaviour, e.g. radon and soil gases, ...
THESIS 6482Fourier analysis has long been an indispensable tool for the investigation of signals who...
The well-known methodology of the Fourier analysis is put against the background in the 2nd half of ...
Time-series analysis is used to identify and quantify periodic features in datasets and has many app...
In this chapter we will consider some common aspects of time series analysis including autocorrelati...
A reader-friendly, systematic introduction to Fourier analysis Rich in both theory and application, ...
Fourier Series and the derivative were used in this study for analysing time series of remotely-sens...
This paper presents a set of tools, which allow gathering information about the frequency components...
All electrical signals can be described either as a function of time or of frequency. When we observ...
We provide a concise overview of time series analysis in the time and frequency domains, with lots o...
For many decades, there has been a general perception in the literature that Fourier methods are not...
Many natural hazards have cyclic/periodic behaviour, e.g. radon, earthquakes (under some circumstanc...
Fourier analysis has many scientific applications - in physics, number theory, combinatorics, signal...
Abstract. The area of Fourier analysis connected to signal processing theory has undergone a rapid d...
A summary of many of the new techniques developed in the last two decades for spectrum analysis of d...
Many natural hazards and other phenomena have cyclic/periodic behaviour, e.g. radon and soil gases, ...
THESIS 6482Fourier analysis has long been an indispensable tool for the investigation of signals who...
The well-known methodology of the Fourier analysis is put against the background in the 2nd half of ...
Time-series analysis is used to identify and quantify periodic features in datasets and has many app...
In this chapter we will consider some common aspects of time series analysis including autocorrelati...
A reader-friendly, systematic introduction to Fourier analysis Rich in both theory and application, ...
Fourier Series and the derivative were used in this study for analysing time series of remotely-sens...
This paper presents a set of tools, which allow gathering information about the frequency components...
All electrical signals can be described either as a function of time or of frequency. When we observ...
We provide a concise overview of time series analysis in the time and frequency domains, with lots o...
For many decades, there has been a general perception in the literature that Fourier methods are not...
Many natural hazards have cyclic/periodic behaviour, e.g. radon, earthquakes (under some circumstanc...
Fourier analysis has many scientific applications - in physics, number theory, combinatorics, signal...
Abstract. The area of Fourier analysis connected to signal processing theory has undergone a rapid d...
A summary of many of the new techniques developed in the last two decades for spectrum analysis of d...
Many natural hazards and other phenomena have cyclic/periodic behaviour, e.g. radon and soil gases, ...
THESIS 6482Fourier analysis has long been an indispensable tool for the investigation of signals who...
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