scholarly journals Automated spectral reduction pipelines

2016 ◽  
Author(s):  
Robert J. Smith ◽  
Andrzej S. Piascik ◽  
Iain A. Steele ◽  
Robert M. Barnsley
Keyword(s):  
2014 ◽  
Vol 77 ◽  
pp. 129-142 ◽  
Author(s):  
Ricardo Monteiro ◽  
Mário Marques ◽  
Gopal Adhikari ◽  
Chiara Casarotti ◽  
Rui Pinho

2014 ◽  
Vol 556-562 ◽  
pp. 3774-3778
Author(s):  
Jing Fang Wang

Non-stationary noise and strong background noise is difficult to extract the actual audio signal problem, an adaptive spectral reduction algorithm is proposed. A dynamic threshold algorithm is devised, iterative update mechanism and the specific implementation are contrived in the clean speech spectrum and noise spectrum estimating. Simulation experiments show that the algorithm can effectively de-noising filter, significantly improve the intelligibility of speech recognition system performance and read, and the method is robust in different noise environments and SNR. The algorithm complexity low, the computational cost is small, real-time, easy to implement, so that the effectiveness and real-time dual meet.


1984 ◽  
Vol 88 ◽  
pp. 123-130
Author(s):  
William F. Wyatt

Our spectral reduction and analysis system has undergone many modifications and Improvements since 1979, when it was described in a paper by Tonry and Davis (1979). The system’s flexibility and power allows analysis of spectra from all our spectrographs (high dispersion to low), easy creation of templates, many correlations per object, and a very useful display of the correlation results. Several changes in filtering and correlation techniques have resulted in the improved reanalysis of old observations.


2021 ◽  
Vol 60 (29) ◽  
pp. 9101
Author(s):  
Yingchao Li ◽  
Wenyu Jiang ◽  
Chunsheng Li ◽  
Zhenyu Ma ◽  
Yuqing Yang ◽  
...  

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