Signal-to-Noise Ratio of Dispersive Photonic Signal Processors Employing Thermal Carriers With Smooth Spectrum and Direct Detection

2013 ◽  
Vol 31 (1) ◽  
pp. 5-14 ◽  
Author(s):  
Carlos R. Fernandez-Pousa
Keyword(s):  
Direct Detection ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Noise Ratio ◽  
Signal Processors

Internally Modulated Chirped Pulse Based Direct Detection Type φ-OTDR System with High Signal-to-Noise Ratio and Low Cost

2019 ◽  
Vol 46 (8) ◽  
pp. 0806003
Author(s):  
李鲁川 Luchuan Li ◽  
卢斌 Bin Lu ◽  
王校 Xiao Wang ◽  
梁嘉靖 Jiajing Liang ◽  
郑汉荣 Hanrong Zheng ◽  
...  
Keyword(s):  
Direct Detection ◽  
Signal To Noise Ratio ◽  
Low Cost ◽  
High Signal ◽  
Signal To Noise ◽  
Chirped Pulse ◽  
Noise Ratio

scholarly journals A generalisation of the study of sum and square law signal processors with multiple clipped inputs

1976 ◽  
Vol 19 (3) ◽  
pp. 294-315 ◽  
Author(s):  
R. G. Keats ◽  
V. K-K. Yu
Keyword(s):  
Recent Work ◽  
Input Signal ◽  
Signal To Noise Ratio ◽  
Statistical Properties ◽  
Signal To Noise ◽  
Noise Ratio ◽  
Signal Processors

AbstractThe recent work of Cheng and Stokes on the processing of clipped signals from two or three receivers is extended and generalised by removing a number of restrictions. In particular, there is no restriction on the number of receivers and the restrictions on the statistical properties of the signal and noise processes have been considerably relaxed.Mathematically—Plackett's result is used to expand the orthant proabilities involved in increasing powers of the input signal to noise ratio.

Exact analysis of signal-to-noise ratio for SAC-OCDMA system with direct detection

Optik ◽  
2017 ◽  
Vol 145 ◽  
pp. 89-94 ◽  
Author(s):  
A. Garadi ◽  
A. Djebbari ◽  
Taleb-Ahmed Abdelmalik
Keyword(s):  
Direct Detection ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Exact Analysis ◽  
Noise Ratio

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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