- spectral content
- Телекоммуникации: спектральный состав
Универсальный англо-русский словарь. Академик.ру. 2011.
Универсальный англо-русский словарь. Академик.ру. 2011.
Spectral modelling synthesis — Spectral Modeling Synthesis or simply SMS is an Acousic modeling approach for speech and other signals.SMS considers sounds as a combination of harmonic content and noise content. Harmonic components are identified based on peaks in the frequency … Wikipedia
Spectral band replication — (SBR) is a technology to enhance audio or speech codecs, especially at low bit rates and is based on harmonic redundancy in the frequency domain.It can be combined with any audio compression codec: the codec itself transmits the lower and… … Wikipedia
Spectral density — In statistical signal processing and physics, the spectral density, power spectral density (PSD), or energy spectral density (ESD), is a positive real function of a frequency variable associated with a stationary stochastic process, or a… … 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
Least-squares spectral analysis — (LSSA) is a method of estimating a frequency spectrum, based on a least squares fit of sinusoids to data samples, similar to Fourier analysis. [cite book | title = Variable Stars As Essential Astrophysical Tools | author = Cafer Ibanoglu |… … Wikipedia
Adams spectral sequence — In mathematics, the Adams spectral sequence is a spectral sequence introduced by Adams (1958). Like all spectral sequences, it is a computational tool; it relates homology theory to what is now called stable homotopy theory. It is a… … Wikipedia
Multi-spectral image — Multi spectral imaging is a technology originally developed for space based imaging. Multi spectral imaging can capture light from frequencies beyond the visible light range, such as infrared. This can allow extraction of additional information… … Wikipedia
High Frequency Content measure — The High Frequency Content measure is a simple measure, taken across a signal spectrum (usually a STFT spectrum), which can be used to characterise the amount of high frequency content in the signal. The magnitudes of the spectral bins are added… … Wikipedia
Wiener deconvolution — In mathematics, Wiener deconvolution is an application of the Wiener filter to the noise problems inherent in deconvolution. It works in the frequency domain, attempting to minimize the impact of deconvoluted noise at frequencies which have a… … Wikipedia
Window function — For the term used in SQL statements, see Window function (SQL) In signal processing, a window function (also known as an apodization function or tapering function[1]) is a mathematical function that is zero valued outside of some chosen interval … 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