#noiselet
Live, measured metrics for the hashtag #noiselet from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #noiselet
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.online (Mastodon public tags API) · fetched 2026-09-25 17:31 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-09-25 17:31 UTCNo related tags with measured usage found for #noiselet.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-09-25 17:31 UTCEverything below is measured over the latest 2 public posts (spanning ~9744 hours).
Posting hours (UTC)
Languages: English (2)
Avg boosts / post: 1
Top of the latest posts
Great news!! A fast, butterfly (aka FFT-like), implementation of the Noiselet Transform [1] is now integrated into the LazyLinop toolbox [2] – “a python toolbox to ease and accelerate computations with (“matrix-free”) linear operators.” Tha
[New Python code: PyNoiselet] About 15 years ago, I wrote a simple set of matlab functions to compute the #Noiselet transform of Coifman et al (R. Coifman, F. Geshwind, and Y. Meyer, "Noiselets", *Applied and Computational Harmonic Analysis
What “noiselet” means
WikipediaNoiselets are functions which gives the worst case behavior for the Haar wavelet packet analysis. In other words, noiselets are totally incompressible by the Haar wavelet packet analysis. Like the canonical and Fourier bases, which have an incoherent property, noiselets are perfectly incoherent with the Haar basis. In addition, they have a fast algorithm for implementation, making them useful as a sampling basis for signals that are sparse in the Haar domain.
“Noiselet” on Wikipedia (CC BY-SA) →#noiselet across platforms
every network with a public tag surfaceFollow #noiselet straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/noiselet