Filtre anti-repliement (anti-aliasing). Il est inutile et même nuisible d’imposer à un système de TNS des signaux dont les variations seraient plus rapides que ce. French term or phrase: filtre anti-repliement. This term crops up in a text on noise emissions in conjunction with an EU project. The “filter” is part. The categories of this image should be checked. Check them now! Remove redundant categories and try to put this image in the most specific.
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Anti-Aliasing – [ Traduire cette page ] Filter Basics: If the signal is strong enough, it can cause clipping at the analog-to-digital convertereven after filtering.
Peer comments on this answer and responses from the answerer agree. Furthermore, because some noise is averaged out, the higher sampling rate can moderately improve SNR. Participation is free and the site eepliement a strict confidentiality policy. The user can turn the vibration on or off, selecting anti-aliasing or no anti-aliasing.
View Ideas submitted by the community. For example, this could be done with a single-sideband modulated or frequency modulated signal. Reviewing applications can be fun and only takes a few minutes. Views Read Edit View history. Often, an anti-aliasing filter is a low-pass filter ; this is not a requirement, however.
The typical implementation in digital cameras is two layers of birefringent material such as filgre niobatewhich spreads each optical point into a cluster of four points.
An anti-aliasing filter is a low-pass filter that accomplishes this. Generalizations of the Flitre sampling theorem allow sampling of other band-limited passband signals rpeliement of baseband signals. Patents, Trademarks, Copyright Law: Anti-aliasing filters are commonly used at the input of digital signal processing system’s analog to digital converter ; similar filters are used as reconstruction filters at the output of such systems, for example in music players.
Retrieved November 29, Return to KudoZ list. For signals that are bandwidth limited, but not centered at zero, a band-pass filter can be used as an anti-aliasing filter.
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Alternatively, a signal may be intentionally oversampled without an intermediate frequency to reduce the requirements on the anti-alias filter. You should have given confidence of 5: French PRO pts in category: In the case of optical image sampling, as by image sensors in digital camerasthe anti-aliasing filter is also known as an optical low-pass filter OLPFblur filteror AA filter.
The choice of spot separation for such a filter involves a tradeoff among sharpness, aliasing, and fill factor the ratio of the active refracting area of flitre microlens array to the total contiguous area occupied by the array.
If one desired to sample an FM radio broadcast centered at Grading comment 4 KudoZ points were awarded for this answer. Post Your ideas for ProZ. Automatic update in Detection theory Discrete signal Estimation theory Nyquist—Shannon sampling theorem. It is very important to avoid input signal overload when using an anti-aliasing filter. This term crops up in a text on noise emissions in conjunction with an EU project. Term search Ati of ProZ. For the moment I prefer NOT to give “my” answer so as not to set you off on the wrong track.
I think I know the answer to this from googling on the web but it would be nice if someone with technical knowledge could confirm.
File:Filtre anti – Wikimedia Commons
Retrieved from ” https: This was also “my” answer and I needed confirmation of someone in the field. You have native languages that can be verified You can request verification for native languages by completing a simple application that takes only a couple of minutes.
A realizable anti-aliasing filter will typically either permit some aliasing to occur or else attenuate some in-band frequencies close to the Nyquist limit. Since the theorem states that, unambiguous reconstruction of the signal from its samples is possible when the power of frequencies above the Nyquist frequency is zero, a real anti-aliasing filter trades off between bandwidth and aliasing.
By oversampling by 2. Peer comments on this answer and responses from the answerer.