scholarly journals Comparative study of large-array processors of the coherence-reduced acoustic signals in random underwater channels

2021 ◽  
Author(s):  
Alex Vladimirovich Smirnov ◽  
Alexander Igorevich Malekhanov
Keyword(s):  
Comparative Study ◽  
Acoustic Signals ◽  
Large Array ◽  
Array Processors ◽  
Underwater Channels

scholarly journals A Comparative Study between Vibration and Acoustic Signals in HTC Cooling Pump and Chilling Pump

2010 ◽  
Vol 2 (3) ◽  
pp. 269-272 ◽  
Author(s):  
S. Devi ◽  
L. Siva Kumar ◽  
N. R. Shanker ◽  
K. Prabakaran
Keyword(s):  
Comparative Study ◽  
Acoustic Signals

scholarly journals Comparative study between acoustic signals and images for detecting seabed features

2019 ◽  
Vol 45 (2) ◽  
pp. 145-151
Author(s):  
A. Hamouda ◽  
Kh. Soliman ◽  
S. El-Gharabawy ◽  
M. Nassar
Keyword(s):  
Comparative Study ◽  
Acoustic Signals

A DESIGN METHODOLOGY FOR VERY LARGE ARRAY PROCESSORS—PART 1: GIPOP PROCESSOR ARRAY

1995 ◽  
Vol 09 (02) ◽  
pp. 231-262
Author(s):  
N. VENKATESWARAN ◽  
S. PATTABIRAMAN ◽  
R. DEVANATHAN ◽  
B. KUMARAN ◽  
ASHRAF AHMED ◽  
...  
Keyword(s):  
High Performance ◽  
Design Methodology ◽  
General Purpose ◽  
Massively Parallel ◽  
Inner Product ◽  
Processor Array ◽  
Large Array ◽  
Outer Product ◽  
Very Large Array ◽  
Array Processors

Very Large Array Processors (VLAP) will be the need of the future for solving computationally intense Very Large Problems (VLP) common in pattern recognition, image processing and other related areas of digital signal processing. Design methodology of such VLAPs for massively parallel dedicated/general purpose applications is highly complex. Two companion papers (Part 1 and Part 2) on VLAP are presented in this issue. In Part 1, we propose a VLAP called Reconfigurable GIPOP Processor Array (RGPA). The RGPA is made up of high performance processing elements called the Generalized Inner Product Outer Product (GIPOP) processor. Unlike the traditional special/general purpose processors, ours has a totally different and new architecture and organization involving higher level functional units to match with the complex computational structures of numeric algorithms and suitable for massively parallel processing. We also present a strategy for mapping VLPs on VLAPs. In Part 2, we propose a novel VLSI design methodology for implementing cost effective and very high performance processors meant for special purpose applications and in particular, for VLAPs.

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