Sonar signal processing - principles and performance

2010 ◽  
pp. 225-270
Author(s):  
Xavier Lurton
Keyword(s):  
Signal Processing ◽  
Sonar Signal Processing ◽  
And Performance

Smart pixel-based wavelet transformation for wideband radar and sonar signal processing

1997 ◽  
Author(s):  
Barry L. Shoop ◽  
Andre H. Sayles ◽  
Glen P. Dudevoir ◽  
Dirk A. Hall ◽  
Daniel M. Litynski ◽  
...  
Keyword(s):  
Signal Processing ◽  
Wavelet Transformation ◽  
Sonar Signal Processing ◽  
Smart Pixel ◽  
Wideband Radar

scholarly journals VLSI ARCHITECTURE OF PARALLEL MULTIPLIER– ACCUMULATOR BASED ON RADIX-2 MODIFIED BOOTH ALGORITHM

2012 ◽  
pp. 40-46
Author(s):  
Mr.M.V. Sathish ◽  
Mrs. Sailaja
Keyword(s):  
Signal Processing ◽  
High Speed ◽  
High Performance ◽  
Vlsi Architecture ◽  
Clock Frequency ◽  
Parallel Multiplier ◽  
Hybrid Type ◽  
Standard Design ◽  
Overall Performance ◽  
And Performance

A new architecture of multiplier-andaccumulator (MAC) for high-speed arithmetic. By combining multiplication with accumulation and devising a hybrid type of carry save adder (CSA), the performance was improved. Since the accumulator that has the largest delay in MAC was merged into CSA, the overall performance was elevated. The proposing method CSA tree uses 1’s-complement-based radix-2 modified Booth’s algorithm (MBA) and has the modified array for the sign extension in order to increase the bit density of the operands. The proposed MAC showed the superior properties to the standard design in many ways and performance twice as much as the previous research in the similar clock frequency. We expect that the proposed MAC can be adapted to various fields requiring high performance such as the signal processing areas.

scholarly journals Acoustic Signal Attenuation Determination Technique Traveling Through Obstacles

2019 ◽  
Vol 8 (3) ◽  
pp. 2012-2016
Keyword(s):  
Signal Processing ◽  
Acoustic Signal ◽  
Acoustic Signals ◽  
Signal Frequency ◽  
Signal Attenuation ◽  
Laboratory Procedure ◽  
Novel Technique ◽  
Sonar Signal Processing ◽  
Launch Angle

This paper presents a novel technique for calculation of attenuation of acoustic signals in the materials in underwater channel. A laboratory procedure and algorithms have been developed for finding attenuation. In many applications like sonar signal processing acoustic signal attenuation in the dome or in an enclosure are required to be known. Finding the actual attenuation while signal passes through the materials is very useful in calculating the precise power transmitted through the enclosures. The attenuation in materials mainly dependent on type of material, signal frequency and launch angle of the signal. A proper procedure has been presented in this paper

scholarly journals Data Association Methods via Video Signal Processing in Imperfect Tracking Scenarios: A Review and Evaluation

2020 ◽  
Vol 2020 ◽  
pp. 1-26
Author(s):  
Hui Li ◽  
Yapeng Liu ◽  
Wenzhong Lin ◽  
Lingwei Xu ◽  
Junyin Wang
Keyword(s):  
Signal Processing ◽  
Deep Learning ◽  
Data Association ◽  
Evaluation Criteria ◽  
Video Signal ◽  
Video Signal Processing ◽  
Video Signals ◽  
And Performance ◽  
Multiobject Tracking ◽  
Made In

In 5G scenarios, there are a large number of video signals that need to be processed. Multiobject tracking is one of the main directions in video signal processing. Data association is a very important link in tracking algorithms. Complexity and efficiency of association method have a direct impact on the performance of multiobject tracking. Breakthroughs have been made in data association methods based on deep learning, and the performance has been greatly improved compared with traditional methods. However, there is a lack of overviews about data association methods. Therefore, this article first analyzes characteristics and performance of three traditional data association methods and then focuses on data association methods based on deep learning, which is divided into different deep network structures: SOT methods, end-to-end methods, and Wasserstein metric methods. The performance of each tracking method is compared and analyzed. Finally, it summarizes the current common datasets and evaluation criteria for multiobject tracking and discusses challenges and development trends of data association technology and data association methods which ensure robust and real time need to be continuously improved.

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