A double-sideband shortwave-broadcast signal-quality estimation algorithm

1988 ◽  
Vol 34 (2) ◽  
pp. 263-282 ◽  
Author(s):  
R.H. Stehle
Keyword(s):  
Estimation Algorithm ◽  
Signal Quality ◽  
Quality Estimation

Signal quality estimation algorithm

2000 ◽  
Vol 36 (22) ◽  
pp. 1882 ◽  
Author(s):  
S. Gunaratne ◽  
P. Taaghol ◽  
R. Tafazolli
Keyword(s):  
Estimation Algorithm ◽  
Signal Quality ◽  
Quality Estimation

Blind Speech Signal Quality Estimation for Speaker Verification Systems

2020 ◽  
Author(s):  
Galina Lavrentyeva ◽  
Marina Volkova ◽  
Anastasia Avdeeva ◽  
Sergey Novoselov ◽  
Artem Gorlanov ◽  
...  
Keyword(s):  
Speech Signal ◽  
Speaker Verification ◽  
Signal Quality ◽  
Quality Estimation ◽  
Verification Systems

Photoplethysmogram signal quality estimation using repeated Gaussian filters and cross-correlation

2012 ◽  
Vol 33 (10) ◽  
pp. 1617-1629 ◽  
Author(s):  
W Karlen ◽  
K Kobayashi ◽  
J M Ansermino ◽  
G A Dumont
Keyword(s):  
Cross Correlation ◽  
Signal Quality ◽  
Quality Estimation ◽  
Gaussian Filters

scholarly journals Wavelet Analysis and Self-Similarity of Photoplethysmography Signals for HRV Estimation and Quality Assessment

Sensors ◽  
2021 ◽  
Vol 21 (20) ◽  
pp. 6798
Author(s):  
Alexander Neshitov ◽  
Konstantin Tyapochkin ◽  
Evgeniya Smorodnikova ◽  
Pavel Pravdin
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Wavelet Transform ◽  
Good Accuracy ◽  
Estimation Algorithm ◽  
Healthy Person ◽  
Peak Detection ◽  
Signal Quality ◽  
Continuous Wavelet ◽  
Self Similarity

Peak-to-peak intervals in Photoplethysmography (PPG) can be used for heart rate variability (HRV) estimation if the PPG is collected from a healthy person at rest. Many factors, such as a person’s movements or hardware issues, can affect the signal quality and make some parts of the PPG signal unsuitable for reliable peak detection. Therefore, a robust HRV estimation algorithm should not only detect peaks, but also identify corrupted signal parts. We introduce such an algorithm in this paper. It uses continuous wavelet transform (CWT) for peak detection and a combination of features derived from CWT and metrics based on PPG signals’ self-similarity to identify corrupted parts. We tested the algorithm on three different datasets: a newly introduced Welltory-PPG-dataset containing PPG signals collected with smartphones using the Welltory app, and two publicly available PPG datasets: TROIKAand PPG-DaLiA. The algorithm demonstrated good accuracy in peak-to-peak intervals detection and HRV metric estimation.

Measurement-based Signal Quality Test of High-speed TSV Channel

2012 ◽  
Vol 2012 (1) ◽  
pp. 000295-000302 ◽  
Author(s):  
Heegon Kim ◽  
Jonghyun Cho ◽  
Daniel H. Jung ◽  
Jonghoon J. Kim ◽  
Joungho Kim ◽  
...  
Keyword(s):  
High Speed ◽  
Equivalent Circuit Model ◽  
Estimation Algorithm ◽  
Signal Quality ◽  
Quality Test ◽  
Eye Diagram ◽  
Measurement Results ◽  
Time Domains ◽  
Channel Loss

In this paper, measurements of high-speed TSV channel were performed in frequency- and time-domains for the signal quality test. The channel loss was measured up to 20 GHz in frequency-domain and the eye-diagram was measured up to 10 Gbps in time-domain. To analyze the measurement results, the equivalent-circuit model of high-speed TSV channel and the worst eye-diagram estimation algorithm were introduced. By using them, the impacts of silicon-conductance and oxide-capacitance on channel loss were analyzed. Moreover, the negligible impact of reflection on the signal quality of the high-speed TSV channel was also analyzed. These measurement-based signal quality analyses can provide the useful insight and design guidance for high-speed TSV channel.

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