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Spectrum continuation analysis — (SCA) is a generalization of the concept of Fourier series to non periodic functions of which only a fragment has been sampled in the time domain.Recall that a Fourier series is only suitable to the analysis of periodic (or finite domain)… … Wikipedia
Spectral density estimation — In statistical signal processing, the goal of spectral density estimation is to estimate the spectral density (also known as the power spectrum) of a random signal from a sequence of time samples of the signal. Intuitively speaking, the spectral… … Wikipedia
Singular Spectrum Analysis — The Singular Spectrum Analysis (SSA) techniqueis a powerful technique of time series analysisincorporating the elements of classical time series analysis,multivariate statistics, multivariate geometry, dynamical systemsand signal processing. The… … Wikipedia
Frequency spectrum — Familiar concepts associated with a frequency are colors, musical notes, radio/TV channels, and even the regular rotation of the earth. A source of light can have many colors mixed together and in different amounts (intensities). A rainbow, or… … Wikipedia
Frequency estimation — This article is about the technique in signal processing. The term frequency estimation can also refer to probability estimation. Frequency estimation is the process of estimating the complex frequency components of a signal in the presence of… … Wikipedia
Maximum entropy spectral estimation — The maximum entropy method applied to spectral density estimation. The overall idea is that the maximum entropy rate stochastic process that satisfies the given constant autocorrelation and variance constraints, is a linear Gauss Markov process… … Wikipedia
Multitaper — Comparions of periodogram (black) and multitaper estimate (red) of a single trial local field potential measurement. This estimate used 9 tapers. In signal processing, the multitaper method is a technique developed by David J. Thomson to estimate … Wikipedia
Wiener–Khinchin theorem — The Wiener–Khinchin theorem (also known as the Wiener–Khintchine theorem and sometimes as the Wiener–Khinchin–Einstein theorem or the Khinchin–Kolmogorov theorem) states that the power spectral density of a wide sense stationary random process is … Wikipedia
David J. Thomson — Residence Canada … Wikipedia
Ralph Beebe Blackman — (1904 ??) is an American mathematician and engineer who was among thepioneers of the information age along with Claude E. Shannon, Hendrik Wade Bode,and John Tukey. He worked at Bell Laboratories in the 1960s and authored books onthe topic of… … Wikipedia
Christopher Bingham — is an American statistician who introduced the Bingham distribution. In joint work with C. M. D. Godfrey and John Tukey he introduced complex demodulation into the analysis of time series.[1] References ^ Christopher Bingham, C. M … Wikipedia
