NDLI: Fpga-based hardware/software co-design for chirplet signal decomposition

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Fpga-based hardware/software co-design for chirplet signal decomposition

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Fpga-based hardware/software co-design for chirplet signal decomposition

Content Provider	ACM Digital Library
Author	Oruklu, Erdal Lu, Yufeng Saniie, Jafar
Abstract	In various signal processing applications, decomposition and analysis of non-stationary signals is a challenging problem. In this work, we present a computationally efficient method, fast chirplet signal decomposition (FCSD) algorithm, for decomposing highly convoluted signals into a linear expansion of chirplets, and successively estimates the chirplet parameters. These parameters are capable of representing a broad range of echo shapes, including the broad-band, narrow-band, symmetric, skewed, nondispersive or dispersive, and have significant physical interpretations for radar, sonar, and ultrasonic imaging applications. For the real-time implementation of chirplet signal decomposition algorithm, an FPGA-based hardware/software co-design is developed on Xilinx Virtex II Pro FPGA platform. In this study, based on the balance among the system constraints, cost, and the efficiency of estimations, the performance of different algorithm implementation schemes have been explored. The developed system successfully exhibits the robustness in the chirplet signal decomposition of experimental signals. This type of study addresses a broad range of applications including velocity measurement, target detection, deconvolution, object classification, data compression, and pattern recognition.
Starting Page	347
Ending Page	350
Page Count	4
File Format	PDF
ISBN	9781595939999
DOI	10.1145/1366110.1366192
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-05-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Fpga Chirplet Hardware/software codesign Ultrasound
Content Type	Text
Resource Type	Article

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