White noise
label: Bílý šum @cs
label: Белый шум @ru
label: Bruit blanc @fr
label: Blanka bruo @eo
label: Ruido blanco @es
label: Vitt brus @sv
label: Witte ruis @nl
label: Szum biały @pl
label: ホワイトノイズ @ja
label: ضجيج أبيض @ar
label: Zarata zuri @eu
label: Rumore bianco @it
label: Weißes Rauschen @de
label: 백색 소음 @ko
label: Білий шум @uk
label: 白雜訊 @zh
label: Ruído branco @pt
label: Soroll blanc @ca
description: نوعی سیگنال @fa
description: random signal having equal intensity at different frequencies, giving it a constant power spectral density
description: 全周波数で均一な大きさを持つ雑音 @ja
description: стационарный шум @ru
description: Señal eléctrica cuyo contenido espectral de potencia es plano en toda una gama amplia de frecuencias. @es
description: náhodný signál s rovnoměrně rozloženou spektrální hustotou @cs
description: 隨機訊號 @zh
description: מושג בהנדסה ועיבוד אותות @iw
description: stochastisches Rauschen zum Maskieren von Lärm @de
description: rodzaj szumu akustycznego @pl
description: notion d'acoustique @fr
subject: Category:Noise (electronics)
subject: Category:Sound
subject: Category:Statistical signal processing
subject: Category:Acoustics
subject: Category:Data compression
date: October 2023
reason: The *expectation value* of the mean is zero. And this is not a problem.
reason: Why?
reason: Why aren't the variances required to be identical, like in the Gaussian case and the discrete-time case ?
reason: Since the definition proposed in this section is not remotely workable in a mathematical sense, I doubt that any authors do this. Instead, we are looking at a heuristic only.
reason: Why aren't the W required to be statistically independent, as for the finite-component white noise of the last section?
reason: Correlation can only take on values in [0,1], so N must be 1 and delta must take the value 1 for t_1 = t_2; it is not the dirac measure here. However, all these concepts are fishy.
hypernym: Signal