Comparative Study of Two Signal-to-Noise Ratio Calculation Methods in LTE Downlink Simulations

2019 ◽  
pp. 14-23
Author(s):  
Yu-Sun Liu ◽  
Shingchern D. You ◽  
Zong-Ru Jhan ◽  
Meng-Fan Li
Keyword(s):  
Comparative Study ◽  
Signal To Noise Ratio ◽  
Calculation Methods ◽  
Signal To Noise ◽  
Ratio Calculation ◽  
Noise Ratio

Comparative Study on Filter Methods of Medical Ultrasound Images

2011 ◽  
Vol 341-342 ◽  
pp. 467-471
Author(s):  
Run Xia Ma ◽  
Xu Ming Zhang ◽  
Ming Yue Ding ◽  
Qi Liu
Keyword(s):  
Comparative Study ◽  
Gabor Filter ◽  
Signal To Noise Ratio ◽  
Median Filter ◽  
Minimum Mean Square Error ◽  
Ultrasound Image ◽  
Ultrasound Images ◽  
Signal To Noise ◽  
Protection Factor ◽  
Noise Ratio

This paper presents a comparative study on six despeckling methods such as modified hybrid median filter, gabor filter, speckle reducing anisotropic diffusion, homomorphic filter, non-local mean filter and squeeze box filter. We select eight objective evaluation parameters, such as signal-to-ratio, contrast signal–to–noise ratio, figure of merit, least absolute error, peak signal-to-noise ratio, edge protection factor, quantitative parameters of despeckling, signal-to-minimum mean square error ratio, to quantify the performance of these filters. The comparative study will provide a good guidance for selecting a suitable filter in the ultrasound image processing.

AN IMPROVED PULSE TRANSIENT AIRBORNE ELECTROMAGNETIC SYSTEM FOR LOCATING GOOD CONDUCTORS

Geophysics ◽  
1976 ◽  
Vol 41 (2) ◽  
pp. 287-299 ◽  
Author(s):  
D. Gupta Sarma ◽  
V. M. Maru ◽  
G. Varadarajan
Keyword(s):  
Comparative Study ◽  
Time Constant ◽  
Decay Time ◽  
Signal To Noise Ratio ◽  
Transient Field ◽  
Signal To Noise ◽  
Electromagnetic System ◽  
Airborne Electromagnetic ◽  
Expected Values ◽  
Noise Ratio

Measuring the transient field values (H), rather than their time derivatives (dH/dt), with an inductive, pulse‐excited electromagnetic prospecting system makes the device capable of reducing much of the geologic noise due to poor superficial conductors and enhancing the response from good conductors. The factor of improvement in signal‐to‐geologic noise ratio in H measurement may be as much as [Formula: see text], where [Formula: see text], and [Formula: see text] are the expected values of decay time constant of signal and noise components, respectively. Moreover, signal‐to‐noise ratio increases for later sample channels, thus allowing equal gate timings for all sample channels. Field results of a comparative study with H and dH/dt measurements are shown. It is predicted that both depth of exploration and reliability of interpretation of data in quantitative terms may improve somewhat with such a system.

Signal-to-noise ratio calculation in a moving-optical-wedge spectrometer

2012 ◽  
Vol 51 (30) ◽  
pp. 7206 ◽  
Author(s):  
Tarek A. Al-Saeed ◽  
Diaa A. Khalil
Keyword(s):  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Ratio Calculation ◽  
Noise Ratio ◽  
Optical Wedge

Determination of the Best Emulsion for the Microscopy of Crystals

1981 ◽  
Vol 39 ◽  
pp. 32-33
Author(s):  
David A. Grano ◽  
Kenneth H. Downing
Keyword(s):  
Spatial Frequency ◽  
Information Transfer ◽  
Signal To Noise Ratio ◽  
Experimental Situation ◽  
Photographic Emulsion ◽  
Modulation Transfer ◽  
Signal To Noise ◽  
Frequency Space ◽  
Noise Ratio

The retrieval of high-resolution information from images of biological crystals depends, in part, on the use of the correct photographic emulsion. We have been investigating the information transfer properties of twelve emulsions with a view toward 1) characterizing the emulsions by a few, measurable quantities, and 2) identifying the “best” emulsion of those we have studied for use in any given experimental situation. Because our interests lie in the examination of crystalline specimens, we've chosen to evaluate an emulsion's signal-to-noise ratio (SNR) as a function of spatial frequency and use this as our critereon for determining the best emulsion.The signal-to-noise ratio in frequency space depends on several factors. First, the signal depends on the speed of the emulsion and its modulation transfer function (MTF). By procedures outlined in, MTF's have been found for all the emulsions tested and can be fit by an analytic expression 1/(1+(S/S0)2). Figure 1 shows the experimental data and fitted curve for an emulsion with a better than average MTF. A single parameter, the spatial frequency at which the transfer falls to 50% (S0), characterizes this curve.

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