1998
DOI: 10.1002/(sici)1096-9128(199809/11)10:11/13<1173::aid-cpe403>3.0.co;2-1
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Java signal processing: FFTs with bytecodes

Abstract: This paper investigates the possibility of using Java as a language for digital signal processing. We compare the performance of the fast Fourier transform using Java interpreters, compilers, and native execution. To characterize the Java language as a platform for signal processing, we have implemented a traditional FFT algorithm in both C and Java and compared their relative performances. Additionally, we have developed a Tensor algebra FFT library in both Matlab and Java. Each of the Tensor libraries has be… Show more

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Cited by 6 publications
(3 citation statements)
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“…Hewlett Packard has a similar system [39]. Using the Toba compiler, performance improvements nearly twice a standard interpreter have been reported for FFT signal processing functions [40,41]. The Toba group found performance improvements of 2 to 10 times versus a standard interpreter [38].…”
Section: Off-line Compilationmentioning
confidence: 99%
“…Hewlett Packard has a similar system [39]. Using the Toba compiler, performance improvements nearly twice a standard interpreter have been reported for FFT signal processing functions [40,41]. The Toba group found performance improvements of 2 to 10 times versus a standard interpreter [38].…”
Section: Off-line Compilationmentioning
confidence: 99%
“…The first workload, WLl, creates many objects and has a high percent of dynamic instructions which access the Link Translation Buffer. An example of this type of program is object-oriented Tensor Fast Fourier Transforms (FFTs) [4].…”
Section: Workload Characterizationmentioning
confidence: 99%
“…This is intended to simulate code which may have been ported from C. An example of this type of program is the Press FFTs [4]. A key feature of this type of code is the lack of method invocation and the use of s t a t i c (e.g.…”
Section: Workload Characterizationmentioning
confidence: 99%