FPGA-Based Scalable and Power-Efficient Fluid Simulation using Floating-Point DSP Blocks

2017 ◽  
Vol 28 (10) ◽  
pp. 2823-2837 ◽  
Author(s):  
Kentaro Sano ◽  
Satoru Yamamoto
Keyword(s):  
Fluid Simulation ◽  
Floating Point ◽  
Power Efficient

scholarly journals Double Precision Floating Point Fft Processor using Vedic Mathematics

2019 ◽  
Vol 8 (4) ◽  
pp. 8533-8538
Keyword(s):  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Floating Point ◽  
Double Precision ◽  
Power Efficient ◽  
Vedic Mathematics ◽  
Communication Signal ◽  
Fft Processor ◽  
Complex Multiplications ◽  
Point Fast Fourier Transform

There should be rapid, efficient and simple process for every scenario now a day. To compute the N point DFT, Fast Fourier Transform (FFT) is a productive algorithm. It has great applications in communication, signal and image processing and instrumentation. In the implementation of FFT one of the challenges is the complex multiplications, so to make this process rapid and simple it’s necessary for a multiplier to be fast and power efficient. To tackle this problem Karatsuba sutra and Nikhilam sutra are an efficient method of multiplication in Vedic Mathematics. This paper will present a design methodology of Double Precision Floating Point Fast Fourier Transform (FFT) Processor.The execution time and complexity can be reduced by the algorithm which is there in Vedic.The main aim is to make FFT Processor process rapid and simple by designing a multiplier which is fast and power efficient by using double precision floating point and Vedic Mathematics concepts.

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