Efficient Decimation Filter Design for Lofargram Analysis in Passive Sonar Systems

M.C. Goncalves; A. Petraglia

doi:10.1109/tim.2005.860864

Efficient Decimation Filter Design for Lofargram Analysis in Passive Sonar Systems

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2005.860864 ◽

2006 ◽

Vol 55 (1) ◽

pp. 132-139 ◽

Cited By ~ 4

Author(s):

M.C. Goncalves ◽

A. Petraglia

Keyword(s):

Filter Design ◽

Passive Sonar ◽

Sonar Systems ◽

Decimation Filter

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Sonar operator performance considerations in passive sonar systems

PsycEXTRA Dataset ◽

10.1037/e573662012-016 ◽

1975 ◽

Author(s):

R. J. Hornick ◽

G. Yamashita ◽

J. E. Robinson ◽

H. J. Winkler

Keyword(s):

Operator Performance ◽

Passive Sonar ◽

Sonar Systems ◽

Performance Considerations

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Novelty Detection in Passive Sonar Systems using Stacked AutoEncoders

2018 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2018.8489559 ◽

2018 ◽

Cited By ~ 1

Author(s):

Vinicius dos Santos Mello ◽

Natanael Nunes de Moura ◽

Jose Manoel de Seixas

Keyword(s):

Novelty Detection ◽

Passive Sonar ◽

Stacked Autoencoders ◽

Sonar Systems

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Decimation filter design

2004 24th International Conference on Microelectronics (IEEE Cat. No.04TH8716) ◽

10.1109/icmel.2004.1314899 ◽

2004 ◽

Cited By ~ 6

Author(s):

M. Sokolovic ◽

B. Jovanovic ◽

M. Damnjanovic

Keyword(s):

Filter Design ◽

Decimation Filter

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Low Power Decimation Filter Design for GSM Sigma-Delta A/D Converter Application

2006 8th International Conference on Solid-State and Integrated Circuit Technology Proceedings ◽

10.1109/icsict.2006.306497 ◽

2006 ◽

Cited By ~ 2

Author(s):

Chi Zhang ◽

Erwin Ofner

Keyword(s):

Low Power ◽

Filter Design ◽

Sigma Delta ◽

Decimation Filter

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Receiver depth selection for passive sonar systems

IEEE Journal of Oceanic Engineering ◽

10.1109/48.90883 ◽

1991 ◽

Vol 16 (3) ◽

pp. 267-278 ◽

Cited By ~ 8

Author(s):

C. Ferla ◽

M.B. Porter

Keyword(s):

Passive Sonar ◽

Sonar Systems ◽

Selection For

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Prolog To Implementation Of Adaptive And Synthetic-aperture Processing Schemes In Integrated Active-passive Sonar Systems

Proceedings of the IEEE ◽

10.1109/jproc.1998.659490 ◽

1998 ◽

Vol 86 (2) ◽

pp. 356-357 ◽

Cited By ~ 1

Author(s):

G. Lokourezos

Keyword(s):

Synthetic Aperture ◽

Passive Sonar ◽

Sonar Systems

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Unconstrained underwater multi-target tracking in passive sonar systems using two-stage PF-based technique

International Journal of Systems Science ◽

10.1080/00207721.2012.724097 ◽

2012 ◽

Vol 45 (3) ◽

pp. 439-455 ◽

Cited By ~ 10

Author(s):

Jacques Georgy ◽

Aboelmagd Noureldin

Keyword(s):

Target Tracking ◽

Two Stage ◽

Passive Sonar ◽

Multi Target Tracking ◽

Sonar Systems

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Underwater acoustic sensor fault detection for passive sonar systems

2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE) ◽

10.1109/splim.2016.7528395 ◽

2016 ◽

Cited By ~ 1

Author(s):

Yong Guk Kim ◽

YoungShin Kim ◽

Sang Hyuck Lee ◽

Sang-Taeck Moon ◽

Moongu Jeon ◽

...

Keyword(s):

Fault Detection ◽

Acoustic Sensor ◽

Sensor Fault ◽

Underwater Acoustic ◽

Passive Sonar ◽

Sonar Systems ◽

Sensor Fault Detection

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EFFICIENT COMPUTATION OF MULTIPLIERLESS FILTERS IN EMBEDDED SYSTEMS EMPLOYING AN OPTIMAL APPROXIMATION METHOD

International Journal of Computational Methods ◽

10.1142/s0219876206000801 ◽

2006 ◽

Vol 03 (02) ◽

pp. 177-204 ◽

Cited By ~ 1

Author(s):

WEI ZHANG ◽

MARK YEARY ◽

J. Q. TRELEWICZ ◽

MONTE TULL

Keyword(s):

Embedded Systems ◽

Filter Design ◽

Optimal Approximation ◽

Efficient Computation ◽

Fixed Integer ◽

Decimation Filter ◽

Improved Performance ◽

And Shifts ◽

Transform Approximation ◽

Very High

An integerization technique for creating fixed integer transforms with computationally optimal representations is presented, and the improved performance in embedded systems by employing these integerized implementations is explored. This technique uses an optimal approximation algorithm that finds the lowest-length fractional representation of the rational numbers. The integer transform approximation allows multiplication to be replaced by shift-and-add operations in hardware systems; where multiplication can take several cycles, shifts and adds take one or fewer cycles each. The multiplierless implementation furthermore benefits from employing the proposed method to represent the floating-point coefficients in very high precision requirement areas, like decimation filter design. This paper is strongly oriented around the design of coefficients with hardware constraints in mind, such as minimizing the number of required adds/subtracts and shifts required for some engineering algorithms.

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