Noise (graphics) | Engineering ratios

Peak signal-to-noise ratio

Peak signal-to-noise ratio (PSNR) is an engineering term for the ratio between the maximum possible power of a signal and the power of corrupting noise that affects the fidelity of its representation. Because many signals have a very wide dynamic range, PSNR is usually expressed as a logarithmic quantity using the decibel scale. PSNR is commonly used to quantify reconstruction quality for images and video subject to lossy compression. (Wikipedia).

Peak signal-to-noise ratio
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Sound waves interference!

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From playlist WAVES

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From playlist Signal Processing and Communications

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From playlist Physics - Waves

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From playlist PHYSICS MECHANICS 5: WAVES, SOUND

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Intensity and sound levels.

From playlist Physics - Waves

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From playlist Physics - Waves

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8. Noise

MIT 6.02 Introduction to EECS II: Digital Communication Systems, Fall 2012 View the complete course: http://ocw.mit.edu/6-02F12 Instructor: George Verghese This lecture introduces a noise model based on a Gaussian random variable. Background on calculating mean and variance of probability

From playlist MIT 6.02 Introduction to EECS II: Digital Communication Systems, Fall 2012

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Jose Antonio Font - Inference with core-collapse supernova waveforms - IPAM at UCLA

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From playlist Workshop: Source inference and parameter estimation in Gravitational Wave Astronomy

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Intensity and sound levels.

From playlist Physics - Waves

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Recorded 15 November 2022. Nikolaus Grigorieff of the University of Massachusetts Medical School presents "Detecting Distinct 60S Ribosome Maturation Intermediates in Cells by 2D Template Matching" at IPAM's Cryo-Electron Microscopy and Beyond Workshop. Abstract: For a full understanding o

From playlist 2022 Cryo-Electron Microscopy and Beyond

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From playlist ICTS In-house 2022

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Integrating MATLAB and C, Part 2 Visualizing and Testing CC++ Code

Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 For more on MATLAB and C/C++, visit: https://www.mathworks.com/programs/resource-portals/matlab-coder/index.html

From playlist Integrating MATLAB and C/C++

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From playlist Less Travelled Path of Dark Matter: Axions and Primordial Black Holes (Online)

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From playlist PHYSICS MECHANICS 5: WAVES, SOUND

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Ben Farr - Nobody Likes a Glitch - IPAM at UCLA

Recorded 19 November 2021. Ben Farr of the University of Oregon presents "Nobody Likes a Glitch" at IPAM's Workshop III: Source inference and parameter estimation in Gravitational Wave Astronomy. Abstract: Transient noise artifacts -- glitches -- have long troubled instrument commissioners

From playlist Workshop: Source inference and parameter estimation in Gravitational Wave Astronomy

Related pages

Decibel | Logarithm | HSL and HSV | Data compression ratio | Contrast (vision) | Mean squared error | YCbCr | Color space | Dynamic range | Bit | Division by zero | Video quality