An efficient method of Huffman decoding for MPEG-2 AAC and its performance analysis

2005 ◽  
Vol 13 (6) ◽  
pp. 1206-1209 ◽  
Author(s):  
Jae-Sik Lee ◽  
Jong-Hoon Jeong ◽  
Tae-Gyu Chang
Keyword(s):  
Performance Analysis ◽  
Efficient Method

scholarly journals AHP-SWOT Analysis Framework Proposed for Cricket Players’s Performance Analysis

2018 ◽  
pp. 22-29
Keyword(s):  
Performance Analysis ◽  
Analytic Hierarchy Process ◽  
Efficient Method ◽  
Swot Analysis ◽  
Analysis Framework ◽  
Analytic Hierarchy ◽  
The World ◽  
The Analytic Hierarchy Process ◽  
Tools And Techniques ◽  
Hierarchy Process

Cricket is one of the most popular game in the world and competition is increasing among the teams. Every cricket board is putting its resources to search the best players and train them to overcome their opponents. For this, they use different tools and techniques to judge the abilities and weakness of the players. We are presenting a tool known as SWOT analysis through the Analytic Hierarchy Process (AHP) that can help players to grow stronger and find potential opportunities. SWOT (Strengths, Weaknesses, Opportunities and Threats) analysis is a widely used technique for analyzing external and internal components and find out an efficient method to support for the decisions. The proposed technique is acquired by performing Analytic Hierarchy Process (AHP). In conclusion, the SWOT and AHP integration may provide great assistance to cricket board in determining the best players that play an important role in winning the cricket match.

scholarly journals Atmospheric Ray Tracing: An efficient, open-source framework for finding eigenrays in a stratified, moving medium

Acta Acustica ◽  
2021 ◽  
Vol 5 ◽  
pp. 26
Author(s):  
Philipp Schäfer ◽  
Michael Vorländer
Keyword(s):  
Performance Analysis ◽  
Open Source ◽  
Real Time ◽  
Ray Tracing ◽  
Efficient Method ◽  
State Of The Art ◽  
Aircraft Noise ◽  
The State ◽  
Moving Medium ◽  
Open Source Framework

In this paper, an open-source framework for ray tracing in a stratified moving medium is introduced. This framework provides an efficient method to find eigen-rays connecting a source with a receiver and is designed for the purpose of aircraft noise auralization. The method is tested with respect to accuracy and run-time in an aircraft flyover scenario and compared to a state of the art method. The investigation showed that this method provides eigenrays with preset accuracy for source positions most relevant for flyover scenarios and that it is significantly faster than the state of the art method. According to the performance analysis, the presented approach has great potential for integration into future real-time auralizations of aircraft noise.

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