ARSRP Signal Processing Software

1993 ◽  
Author(s):  
Lisa Pflug ◽  
Jerald W. Caruthers ◽  
Richard R. Slater
Keyword(s):  
Signal Processing ◽  
Processing Software

scholarly journals DSPSR: Digital Signal Processing Software for Pulsar Astronomy

2011 ◽  
Vol 28 (1) ◽  
pp. 1-14 ◽  
Author(s):  
W. van Straten ◽  
M. Bailes
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Graphics Processing Units ◽  
High Performance ◽  
Digital Signal ◽  
General Purpose ◽  
Design Decisions ◽  
Extensive Range ◽  
Processing Software ◽  
Graphics Processing

Abstractdspsr is a high-performance, open-source, object-oriented, digital signal processing software library and application suite for use in radio pulsar astronomy. Written primarily in C++, the library implements an extensive range of modular algorithms that can optionally exploit both multiple-core processors and general-purpose graphics processing units. After over a decade of research and development, dspsr is now stable and in widespread use in the community. This paper presents a detailed description of its functionality, justification of major design decisions, analysis of phase-coherent dispersion removal algorithms, and demonstration of performance on some contemporary microprocessor architectures.

scholarly journals Verification of Imaging Algorithm for Signal Processing Software within Synthetic Aperture Radar (SAR) System

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Le-tian Zeng ◽  
Chun-hui Yang ◽  
Mao-sheng Huang ◽  
Yue-long Zhao
Keyword(s):  
Signal Processing ◽  
Data Processing ◽  
Synthetic Aperture Radar ◽  
Software Testing ◽  
Real Data ◽  
Synthetic Aperture ◽  
Data Simulation ◽  
Motion Error ◽  
Processing Software ◽  
Aperture Radar

In the signal processing software testing for synthetic aperture radar (SAR), the verification for algorithms is professional and has a very high proportion. However, existing methods can only perform a degree of validation for algorithms, exerting an adverse effect on the effectiveness of the software testing. This paper proposes a procedure-based approach for algorithm validation. Firstly, it describes the processing procedures of polar format algorithm (PFA) under the motion-error circumstance, based on which it analyzes the possible questions that may exist in the actual situation. By data simulation, the SAR echoes are generated flexibly and efficiently. Then, algorithm simulation is utilized to focus on the demonstrations for the approximations adopted in the algorithm. Combined with real data processing, the bugs concealed are excavated further, implementing a comprehensive validation for PFA. Simulated experiments and real data processing validate the correctness and effectiveness of the proposed algorithm.

scholarly journals SignalPlant: an open signal processing software platform

2016 ◽  
Vol 37 (7) ◽  
pp. N38-N48 ◽  
Author(s):  
F Plesinger ◽  
J Jurco ◽  
J Halamek ◽  
P Jurak
Keyword(s):  
Signal Processing ◽  
Software Platform ◽  
Processing Software

Integration of real‐time odontocete call classification algorithm into PAMGUARD signal processing software.

2011 ◽  
Vol 129 (4) ◽  
pp. 2639-2639 ◽  
Author(s):  
Michael Oswald ◽  
Julie N. Oswald ◽  
Marc O. Lammers ◽  
Shannon Rankin ◽  
Whitlow W. L. Au
Keyword(s):  
Signal Processing ◽  
Real Time ◽  
Classification Algorithm ◽  
Call Classification ◽  
Processing Software
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