scholarly journals Performance of the front-end signal processing electronics for the drift chambers of the Stanford Large Detector

1991 ◽  
Vol 38 (2) ◽  
pp. 370-375 ◽  
Author(s):  
A. Honma ◽  
G.M. Haller ◽  
T. Usher ◽  
R. Shypit
Keyword(s):  
Signal Processing ◽  
Front End ◽  
Drift Chambers ◽  
Signal Processing Electronics

Front end and signal processing electronics for large detectors

1989 ◽  
Vol 36 (1) ◽  
pp. 446-457 ◽  
Author(s):  
L. Callewaert ◽  
W. Eyckmans ◽  
W. Sansen ◽  
V. Budihartono ◽  
F.M. Newcomer ◽  
...  
Keyword(s):  
Signal Processing ◽  
Front End ◽  
Signal Processing Electronics

Advanced Front End Signal Processing Electronics for ATLAS CSC System

2006 ◽  
Author(s):  
S.S. Junnarkar ◽  
A. Kandasamy ◽  
J. Fried ◽  
P. O'Connor ◽  
V. Polychronakos ◽  
...  
Keyword(s):  
Signal Processing ◽  
Front End ◽  
Signal Processing Electronics

Front end Signal Processing Electronics for the SDC Straw Tracking System

1994 ◽  
pp. 43-46
Author(s):  
F. M. Newcomer ◽  
S. Tedja ◽  
R. Van Berg ◽  
J. Van der Spiegel ◽  
H. H. Williams
Keyword(s):  
Signal Processing ◽  
Tracking System ◽  
Front End ◽  
Signal Processing Electronics

scholarly journals Evaluation of an Adaptive Dynamic Compensation System in Cochlear Implant Listeners

2020 ◽  
Vol 24 ◽  
pp. 233121652097034
Author(s):  
Florian Langner ◽  
Andreas Büchner ◽  
Waldo Nogueira
Keyword(s):  
Signal Processing ◽  
Cochlear Implant ◽  
Speech Intelligibility ◽  
Discrimination Task ◽  
Signal To Noise Ratio ◽  
Compensation System ◽  
Signal To Noise ◽  
Dynamic Compensation ◽  
Front End ◽  
Noise Ratio

Cochlear implant (CI) sound processing typically uses a front-end automatic gain control (AGC), reducing the acoustic dynamic range (DR) to control the output level and protect the signal processing against large amplitude changes. It can also introduce distortions into the signal and does not allow a direct mapping between acoustic input and electric output. For speech in noise, a reduction in DR can result in lower speech intelligibility due to compressed modulations of speech. This study proposes to implement a CI signal processing scheme consisting of a full acoustic DR with adaptive properties to improve the signal-to-noise ratio and overall speech intelligibility. Measurements based on the Short-Time Objective Intelligibility measure and an electrodogram analysis, as well as behavioral tests in up to 10 CI users, were used to compare performance with a single-channel, dual-loop, front-end AGC and with an adaptive back-end multiband dynamic compensation system (Voice Guard [VG]). Speech intelligibility in quiet and at a +10 dB signal-to-noise ratio was assessed with the Hochmair–Schulz–Moser sentence test. A logatome discrimination task with different consonants was performed in quiet. Speech intelligibility was significantly higher in quiet for VG than for AGC, but intelligibility was similar in noise. Participants obtained significantly better scores with VG than AGC in the logatome discrimination task. The objective measurements predicted significantly better performance estimates for VG. Overall, a dynamic compensation system can outperform a single-stage compression (AGC + linear compression) for speech perception in quiet.

A Proposed Correlator Backend for the Culgoora Radioheliograph

1979 ◽  
Vol 3 (6) ◽  
pp. 371-375 ◽  
Author(s):  
D. J. McLean ◽  
M. Beard ◽  
A. Bos
Keyword(s):  
Signal Processing ◽  
Radio Telescope ◽  
Integrated Circuit ◽  
Digital Technology ◽  
Cosmic Radio ◽  
Original Signal ◽  
Radio Observations ◽  
Signal Processing Electronics ◽  
Digital Integrated Circuit

The Culgoora radioheliograph was designed in the early 1960s and commissioned in 1967. Since then there have been dramatic increases in the speed and versatility of digital integrated-circuit devices, and also a marked fall in their cost. It is now possible to replace the original signal processing electronics with equipment, based on modern digital technology, which will significantly enhance the performance of this radio telescope for solar and cosmic radio observations at metre wavelengths.

Research on False Points Removing of Speech Segmentation

2014 ◽  
Vol 536-537 ◽  
pp. 136-140
Author(s):  
Chong Wang ◽  
Jun Feng Zhao ◽  
Rong Huang
Keyword(s):  
Signal Processing ◽  
Speech Signal ◽  
Wavelet Transformation ◽  
Low Frequency ◽  
Frequency Component ◽  
Speech Segmentation ◽  
Speech Signal Processing ◽  
Front End ◽  
Cumulate Energy

In speech signal processing, the techniques of speech segmentation as front end of preprocessing have great importance in speech enhancing, coding and recognition. This paper analyzes the performances of several typical algorithms of speech segmentation, which are compared with each other. It put emphasis on the study of the algorithm based on the wavelet transformation. The smooth and gradual changing low frequency component can not segment the speech efficiently. In order to solve the problem, this paper put forward to an algorithm based on the cumulate energy of the wavelet transformation which promotes the precision of the segmentation on the phoneme level. But as a result of the wavelet sensitivity, it will present certain number of false spots. Therefore this paper proposes tow methods removing false spots. Finally it makes certain summary to these technologies.

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