scholarly journals Improvement of signal‐to‐noise ratio at the single‐sensor for narrow‐band signals in a partially correlated noise field

1995 ◽  
Vol 98 (5) ◽  
pp. 2932-2932
Author(s):  
D. R. Munn ◽  
Stergios Stergiopoulos
Keyword(s):  
Narrow Band ◽  
Signal To Noise Ratio ◽  
Correlated Noise ◽  
Signal To Noise ◽  
Noise Field ◽  
Single Sensor ◽  
Noise Ratio

scholarly journals Improvement of signal-to-noise ratio in parallel neuron arrays with spatially nearest neighbor correlated noise

PLoS ONE ◽  
2018 ◽  
Vol 13 (7) ◽  
pp. e0200890
Author(s):  
Tianquan Feng ◽  
Qingrong Chen ◽  
Ming Yi ◽  
Zhongdang Xiao
Keyword(s):  
Nearest Neighbor ◽  
Signal To Noise Ratio ◽  
Correlated Noise ◽  
Signal To Noise ◽  
Noise Ratio

scholarly journals Design of an Indigenised Electronic Lock-In Amplifier

2000 ◽  
Vol 23 (1) ◽  
pp. 53-60
Author(s):  
Umesh Kumar
Keyword(s):  
Narrow Band ◽  
Signal To Noise Ratio ◽  
Broad Band ◽  
Power Line ◽  
Frequency Drift ◽  
Noise Power ◽  
Signal To Noise ◽  
Band Noise ◽  
Noise Ratio ◽  
Lock In

An indigenised lock-in amplifier is designed that enables the accurate measurement of signals contaminated by broad-band noise, power-line pick-up, frequency drift, or other sources of interference. It does this by means of an extremely narrow band detector which has the centre of its passband locked to the frequency of the signal to be measured. Large improvements in signal-to-noise ratio are achieved.

scholarly journals Improving the Signal to Noise Ratio of QTF Preamplifiers Dedicated for QEPAS Applications

2020 ◽  
Vol 10 (12) ◽  
pp. 4105
Author(s):  
Piotr Z. Wieczorek ◽  
Tomasz Starecki ◽  
Frank K. Tittel
Keyword(s):  
Operational Amplifier ◽  
Narrow Band ◽  
Signal To Noise Ratio ◽  
Low Frequency ◽  
Electrical Signal ◽  
Low Noise ◽  
Detection Sensitivity ◽  
Noise Amplitude ◽  
Signal To Noise ◽  
Noise Ratio

The signal-to-noise ratio (SNR) is a major factor that limits the detection sensitivity of quartz-enhanced photoacoustic spectroscopy (QEPAS) sensors. The higher the electrical signal level compared to the noise amplitude is the lower the concentration of gases that can be detected. For this reason the preamplifier circuits used in QEPAS should be optimized for low-frequency narrow-band applications. Moreover, special care should be taken when choosing a particular operational amplifier in either a transimpedance or voltage (differential) configuration. It turns out that depending on the preamp topology different operational amplifier parameters should be carefully considered when a high SNR of the whole QEPAS system is required. In this article we analyzed the influence of the crucial parameters of low-noise operational preamplifiers used in QEPAS applications and show the resulting limitations of transimpedance and voltage configurations.

SIGNAL-TO-NOISE RATIO GAIN VIA CORRELATED NOISE IN AN ENSEMBLE OF NOISY NEURONS

2020 ◽  
Vol 28 (01) ◽  
pp. 111-126
Author(s):  
TIANQUAN FENG
Keyword(s):  
Signal To Noise Ratio ◽  
Internal Noise ◽  
Linear Response Theory ◽  
Periodic Signal ◽  
Correlated Noise ◽  
Signal To Noise ◽  
Optimal Value ◽  
Nonlinear Amplification ◽  
Noise Ratio ◽  
Snr Gain

The collective response of an ensemble of leaky integrate-and-fire neurons induced by local correlated noise is investigated theoretically. Based on the linear response theory, we derive the analytic expression of signal-to-noise ratio (SNR). Numerical results show that the amplitude of internal noise can be increased up to an optimal value where the output SNR reaches a maximum value. Interestingly, we find that the correlated noise between the nearest neurons could lead to the obvious SNR gain. We also show that the SNR can reach unity under condition that the correlated noise between the nearest neurons is negative. This nonlinear amplification of SNR gain in an ensemble of noisy neurons can be related to the array stochastic resonance (SR) phenomenon. Furthermore, we also show that the SNR gain can also be optimized by tuning the number of neuron units, frequency and amplitude of the weak periodic signal.

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