scholarly journals Prototyping scalable digital signal processing systems for radio astronomy using dataflow models

Radio Science ◽  
2012 ◽  
Vol 47 (3) ◽  
pp. n/a-n/a
Author(s):  
N. Sane ◽  
J. Ford ◽  
A. I. Harris ◽  
S. S. Bhattacharyya
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Radio Astronomy ◽  
Digital Signal ◽  
Signal Processing Systems ◽  
Dataflow Models

scholarly journals Quantization of VLSI digital signal processing systems

2012 ◽  
Vol 2012 (1) ◽  
Author(s):  
Gabriel Caffarena ◽  
Olivier Sentieys ◽  
Daniel Menard ◽  
Juan A. López ◽  
David Novo
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Signal Processing Systems

A SystemC-Based Design Methodology for Digital Signal Processing Systems

2007 ◽  
Vol 2007 ◽  
pp. 1-22 ◽  
Author(s):  
Christian Haubelt ◽  
Joachim Falk ◽  
Joachim Keinert ◽  
Thomas Schlichter ◽  
Martin Streubühr ◽  
...  
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Design Methodology ◽  
Digital Signal ◽  
Signal Processing Systems

Improving the Performance and Resource Utilization of the CASPER FFT and Polyphase Filterbank

2016 ◽  
Vol 05 (04) ◽  
pp. 1641002
Author(s):  
Ryan Monroe
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Resource Utilization ◽  
Radio Astronomy ◽  
Digital Signal ◽  
Quantization Noise

The effectiveness of Digital Signal Processing (DSP) solutions for radio-astronomy is limited by the efficiency of the implemented algorithms. Novel implementations of several popular DSP algorithms are presented. Their optimization strategies are discussed and their efficiency is compared to that of the standard Collaboration for Astronomy Signal Processing and Electronics Research (CASPER) library solutions. Compared to CASPER, the PFB-FIR and FFT modules require 73% and 45% of the DSP48E1 resources, with performance dominated by ADC quantization noise for typical radio-astronomy inputs.

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