GPU-Based Real-Time Volume Interaction for Scientific Visualization Education

Luo, Yanlin; Wu, Zhongke; Luo, Zuying; Luo, Yanping

doi:10.1007/978-981-287-134-3_3

Cited by 1 publication

(1 citation statement)

References 17 publications

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“…From an implementation point of view, the most desirable features of FPGA are its flexibility and programmability, which makes it the best choice for digital algorithm implementation. Adaptive algorithms have a wide range of applications, such as adaptive filters, smart antennas (for beam formation) [1], hearing aids applications for patients to develop low power hearing machines [2], in filters that use an adaptive fuzzy dividing frequency control mechanism for reducing the harmonics and in power factor [3], and in power systems for estimating low frequency power modes [4]. Different adaptive algorithms exist, in which the LMS have maximum applications because of its simplicity [5].…”

Section: Introductionmentioning

confidence: 99%

Comparative Performance Analysis of High Speed Low Power Area Efficient FIR Adaptive Filter

Jaiswal¹

2014

IEIE Transactions on Smart Processing and Computing

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This paper presents the comparative performance of an adaptive FIR filter for a Delayed LMS algorithm. The delayed error signal was used to obtain a Delayed LMS algorithm to allow efficient pipelining for achieving a small critical path and area efficient implementation. This paper presents hardware efficient results (device utilization parameters) and power consumed. The FPGA families (Artix-7, Virtex-7, and Kintex-7) for a low voltage perspective are shown. The synthesis results showed that the artix-7 CMOS family achieves the lowest power consumption of 1.118 mW with 83.18 % device utilization. Different Precision strategies, such as the speed optimization and power optimization, were imposed to achieve these results. The algorithm was implemented using MATLAB (2013b) and synthesized on the Leonardo spectrum.

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Section: Introductionmentioning

confidence: 99%

Comparative Performance Analysis of High Speed Low Power Area Efficient FIR Adaptive Filter

Jaiswal¹

2014

IEIE Transactions on Smart Processing and Computing

View full text Add to dashboard Cite

show abstract

GPU-Based Real-Time Volume Interaction for Scientific Visualization Education

Cited by 1 publication

References 17 publications

Comparative Performance Analysis of High Speed Low Power Area Efficient FIR Adaptive Filter

Comparative Performance Analysis of High Speed Low Power Area Efficient FIR Adaptive Filter

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