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ATTRACTION SOUND IN THE SWIFTLETS HOUSE

Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRONIC DEVICES AND CIRCUITS
Author(s): SAIFUL NIZAM BIN TAJUDDIN , SITI NURZALIKHA ZAINI BINTI HUSNI ZAINI , SUNARDI

Abstract: This research about the analysis of attraction sound for swiftlets to enter the swiftlets house. There are important thing for industry to attract swiftlets enter and build their nests in man-made house. Swiftlet house usually house fitted bird-call recording from original sound in the cave to attract attention bird go inside house to be doing nest. Therefore,this study analyze sound features that has attracted attention bird. Ten samples of swiftlets sound were analyzed by using Fast Fourier Transform in Matlab software to identify sound characteristic that attract swiftlets. Specific sound characteristic for swiftlets attraction on frequency and magnitude of original sound and noise have been identified.

  • Publication Date: 05-May-2013
  • DOI: 10.15224/978-981-07-6261-2-46
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AN FPGA EMBEDDED ACCA ARCHITECTURE FOR HIGH RESOLUTION TARGET DETECTION

Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING AND COMMUNICATION
Author(s): RIDHA DJEMAL

Abstract: This paper presents an efficient FPGA-based architecture of CFAR target detector for radar system based on the automatic censored cell averaging (ACCA) detector based on ordered data variability (ODV). The ACCA–ODV detector estimates the unknown background level by dynamically selecting a suitable set of ranked cells and applying successive hypothesis tests. The proposed detector does not require any prior information about the non homogenous background environment. It uses the variability index statistic as a shape parameter to accept or reject the ordered cells under investigation. The detection process is achieved on the fly in real-time where the processing time must be lower than 0.5 µs for high resolution detection. The proposed architecture is based on the embedded software solution which consists on execution an the ANSI-C code of the detector over the Nios-II soft-core processor downloaded in the FPGA with the requires hardware components, such as on-chip memories, UART and JT

  • Publication Date: 28-Apr-2013
  • DOI: 10.15224/978-981-07-6261-2-47
  • Views: 0
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