Signal‐Noise Model of Hearing

1968 ◽  
Vol 44 (1) ◽  
pp. 384-384
Author(s):  
M. Rosenstein ◽  
A. Katz
Keyword(s):  
Noise Model ◽  
Signal Noise

Unified small-signal-noise model for active microwave devices

1993 ◽  
Vol 140 (1) ◽  
pp. 55 ◽  
Author(s):  
Z.R. Hu ◽  
Z.M. Yang ◽  
V.F. Fusco ◽  
J.A.C. Stewart
Keyword(s):  
Noise Model ◽  
Microwave Devices ◽  
Small Signal ◽  
Signal Noise

scholarly journals A signal–noise model for significance analysis of ChIP-seq with negative control

2010 ◽  
Vol 26 (9) ◽  
pp. 1199-1204 ◽  
Author(s):  
Han Xu ◽  
Lusy Handoko ◽  
Xueliang Wei ◽  
Chaopeng Ye ◽  
Jianpeng Sheng ◽  
...  
Keyword(s):  
Negative Control ◽  
Noise Model ◽  
Signal Noise ◽  
Significance Analysis

A combined technique for amplifier oriented small‐signal noise model extraction

2020 ◽  
Vol 30 (9) ◽  
Author(s):  
Artem Popov ◽  
Dmitry Bilevich ◽  
Andrei Salnikov ◽  
Igor Dobush ◽  
Aleksandr Goryainov ◽  
...  
Keyword(s):  
Noise Model ◽  
Small Signal ◽  
Signal Noise ◽  
Model Extraction ◽  
Combined Technique

Signal/Noise Ratio and Elemental Detectivity by Eels

1982 ◽  
Vol 40 ◽  
pp. 488-489
Author(s):  
R. F. Egerton
Keyword(s):  
Energy Loss ◽  
Electron Energy ◽  
Elemental Analysis ◽  
Electron Energy Loss Spectroscopy ◽  
Emission Spectroscopy ◽  
X Ray ◽  
Signal Noise ◽  
Characteristic Signal ◽  
Noise Ratio ◽  
Electron Energy Loss

An important parameter governing the sensitivity and accuracy of elemental analysis by electron energy-loss spectroscopy (EELS) or by X-ray emission spectroscopy is the signal/noise ratio of the characteristic signal.

Extension of the LTV Phase Noise Model of Electrical Oscillators for the Output Harmonics

2012 ◽  
Vol E95.C (12) ◽  
pp. 1846-1856 ◽  
Author(s):  
Seyed Amir HASHEMI ◽  
Hassan GHAFOORIFARD ◽  
Abdolali ABDIPOUR
Keyword(s):  
Phase Noise ◽  
Noise Model ◽  
Electrical Oscillators

ASSESSMENT OF THE SIGNAL/NOISE RATIO IN A BINARY SIGNAL

2012 ◽  
Vol 71 (5) ◽  
pp. 445-453
Author(s):  
M. D. Rasnikov ◽  
I. T. Rozhkov
Keyword(s):  
Signal Noise ◽  
Binary Signal ◽  
Noise Ratio

Case Study of Electro-Optical Probing Signal with High Signal-Noise Ratio

2019 ◽  
Author(s):  
Ryan Xiao ◽  
William Wang ◽  
Ang Li ◽  
Shengqiu Xu ◽  
Binghai Liu
Keyword(s):  
Failure Mode ◽  
High Signal ◽  
Signal Noise ◽  
Electrical Failure ◽  
Current Path ◽  
Probing Signal ◽  
Optical Probing ◽  
Noise Ratio ◽  
Case Collection

Abstract With the development of semiconductor technology and the increment quantity of metal layers in past few years, backside EFA (Electrical Failure Analysis) technology has become the dominant method. In this paper, abnormally high Signal Noise Ratio (SNR) signal captured by Electro-Optical Probing (EOP)/Laser Voltage Probing (LVP) from backside is shown and the cause of these phenomena are studied. Based on the real case collection, two kinds of failure mode are summarized, and simulated experiments are performed. The results indicate that when a current path from power to ground is formed, the high SNR signal can be captured at the transistor which was on this current path. It is helpful of this consequence for FA to identify the failure mode by high SNR signal.

A new magnetic resonance head coil and head immobilization device for gamma knife radiosurgery: an analysis of geometric distortion and signal/noise characteristics

2002 ◽  
Vol 97 ◽  
pp. 563-568 ◽  
Author(s):  
Paul Jursinic ◽  
Robert Prost ◽  
Christopher Schultz
Keyword(s):  
Magnetic Resonance ◽  
Gamma Knife Radiosurgery ◽  
Geometric Distortion ◽  
Gradient Field ◽  
Main Magnetic Field ◽  
Content Type ◽  
Signal Noise ◽  
Noise Characteristics ◽  
Head Coil ◽  
Fine Print

Object. The authors report on a new head coil into which the Leksell aluminum localization frame can be easily and securely mounted. Mechanically, the head coil interferes little with the patient. Methods. The head coil, which is for magnetic resonance (MR) imaging, is a 12-element quadrature transmitand-receive high-pass birdcage coil with a nominal operation frequency (63.86 MHz). The coil was built into a plastic housing. This new head coil minimizes patient motion and provides a 20% increase in signal/noise ratios compared with standard head coils. An MR image test phantom was mounted in the coil and this allowed quantification of image distortion due to inhomogeneities in the main magnetic field, nonlinearity in the gradient field, and paramagnetism of the aluminum headframe. There were no significant differences in geometric distortion between the new head coil and the standard coil. Conclusions. The new head coil has advantages for reducing patient movement artifacts and has a better signal/noise ratio with no reduction in geometric accuracy.

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