Understanding the impact of Tc and Hk variation on signal-to-noise ratio in heat-assisted magnetic recording

2014 ◽  
Vol 115 (17) ◽  
pp. 17B744 ◽  
Author(s):  
Hai Li ◽  
Jian-Gang Zhu
Keyword(s):  
Magnetic Recording ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Heat Assisted Magnetic Recording ◽  
Noise Ratio ◽  
The Impact

Analysis of signal-to-noise ratio impact in heat assisted magnetic recording under insufficient head field

2015 ◽  
Vol 117 (17) ◽  
pp. 17D133 ◽  
Author(s):  
Hai Li ◽  
Brad Johnson ◽  
Michael Morelli ◽  
Matt Gibbons ◽  
Jian-Gang (Jimmy) Zhu
Keyword(s):  
Magnetic Recording ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Heat Assisted Magnetic Recording ◽  
Noise Ratio

scholarly journals The Geometry of Noise in Color and Spectral Image Sensors

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4487
Author(s):  
Axel Clouet ◽  
Jérôme Vaillant ◽  
David Alleysson
Keyword(s):  
Signal To Noise Ratio ◽  
Spectral Estimation ◽  
Spectral Characteristics ◽  
Color Space ◽  
Color Correction ◽  
Signal To Noise ◽  
Noise Evaluation ◽  
Noise Ratio ◽  
Correction Step ◽  
The Impact

Digital images are always affected by noise and the reduction of its impact is an active field of research. Noise due to random photon fall onto the sensor is unavoidable but could be amplified by the camera image processing such as in the color correction step. Color correction is expressed as the combination of a spectral estimation and a computation of color coordinates in a display color space. Then we use geometry to depict raw, spectral and color signals and noise. Geometry is calibrated on the physics of image acquisition and spectral characteristics of the sensor to study the impact of the sensor space metric on noise amplification. Since spectral channels are non-orthogonal, we introduce the contravariant signal to noise ratio for noise evaluation at spectral reconstruction level. Having definitions of signal to noise ratio for each steps of spectral or color reconstruction, we compare performances of different types of sensors (RGB, RGBW, RGBWir, CMY, RYB, RGBC).

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