Title :
Nonlinear readout signal processing using the DataWave video signal processor
Author :
Inkinen, Sami J.
Author_Institution :
European Lab. for Particle Phys., CERN, Geneva, Switzerland
fDate :
10/1/1994 12:00:00 AM
Abstract :
Implementation of digital signal processing operations as part of the data acquisition process in high-energy physics detectors requires very high-speed devices. Signal processors are not typically used in these applications due to inadequate processing performance. New components developed for high-definition television (HDTV) are considered to be applicable for these purposes. By using programmable signal processors a superior reconfigurability can be obtained, as opposed to VLSI-based custom implementations. Where the algorithms are fixed when-the design has been completed. This paper presents one such processor, the DataWave video signal processor, and describes how some nonlinear algorithms for readout signal processing can be implemented with it. The operations selected include an order statistic filter structure and an FIR-order statistic hybrid (FIR-OS) filter with trainable coefficients and rank operator. Comments on the suitability of the DataWave processor for different kinds of algorithms are also given
Keywords :
data acquisition; digital filters; iterative methods; nonlinear systems; parallel architectures; physics computing; signal processing equipment; DataWave video signal processor; FIR-order statistic hybrid filter; HDTV; data acquisition; digital signal processing; high-definition television; high-energy physics detectors; modular order statistic filter structure; nonlinear algorithms; nonlinear readout signal processing; programmable signal processors; rank operator; reconfigurability; trainable coefficients; Data acquisition; Detectors; Digital signal processing; Filters; HDTV; Physics; Signal processing; Signal processing algorithms; Statistics; Video signal processing;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on