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Upsweep is an unidentified sound detected on the American NOAA's equatorial autonomous hydrophone arrays. This sound was present when the Pacific Marine Environmental Laboratory began recording its sound surveillance system, SOSUS, in August 1991. It consists of a long train of narrow-band upsweeping sounds of several seconds in duration each.
Generally, the luminance noise looks more like film grain, while chroma noise looks more unnatural or digital-like. [2] Video denoising methods are designed and tuned for specific types of noise. Typical video noise types are the following: Analog noise Radio channel artifacts High-frequency interference (dots, short horizontal color lines, etc.)
In February 2016, a high-pitched noise was heard intermittently at night in Forest Grove, Oregon. The Department of Forestry determined that their equipment was not the cause of the sound. [1] The news about the noise was first shared with Dave Nemeyer by a Forest Grove resident, who posted a video of it on the city's Facebook page. [2]
The 30-second video shows a bird in a tree, which isn't very interesting until you turn your sound on and listen to the bird. It sounds just like a real siren and had everybody fooled!
An acoustic camera (or noise camera) is an imaging device used to locate sound sources and to characterize them. It consists of a group of microphones, also called a microphone array , from which signals are simultaneously collected and processed to form a representation of the location of the sound sources.
In sound localization, ITDs are used as cues for location in the azimuth. ITD changes systematically with azimuth. Sounds to the right arrive first at the right ear; sounds to the left arrive first at the left ear. In mammals there is a level difference in sounds at the two ears caused by the sound-shadowing effect of the head.
Originally a “crowd-funded” gadget on Indiegogo in 2020, Bird Buddy is the first mainstream “smart” bird feeder that takes photos and videos of birds in your backyard or front yard, and ...
There are many noise reduction algorithms in image processing. [35] In selecting a noise reduction algorithm, one must weigh several factors: the available computer power and time available: a digital camera must apply noise reduction in a fraction of a second using a tiny onboard CPU, while a desktop computer has much more power and time