Abstract:
Arithmetic operations involving complex numbers are widely used in the signal processing functions in the physical layer of modern wireless and wireline communication sys...Show MoreMetadata
Abstract:
Arithmetic operations involving complex numbers are widely used in the signal processing functions in the physical layer of modern wireless and wireline communication systems, electronic instrumentation and control systems. With the ever increasing throughput requirements of such systems, the power consumption of the hardware realization is increasing beyond the allowed budget. Arithmetic circuits based on binary numeral system that have been optimized rigorously over the past few decades are currently being used for the computation involving complex numbers. In this paper, we present the potential of arithmetic circuits for complex number computations based on the Quater-imaginary (QI) base numeral system to reduce power consumption. We show that for a simple multiplier implementation in the QI base, the savings in power and area consumption could be up to 40% when synthesized in 28nm TSMC standard cell technology node.
Date of Conference: 19-23 March 2018
Date Added to IEEE Xplore: 23 April 2018
ISBN Information:
Electronic ISSN: 1558-1101
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- IEEE Keywords
- Index Terms
- Complex Numbers ,
- Arithmetic Circuits ,
- Control System ,
- Savings ,
- Power Consumption ,
- Binary System ,
- Numerous Systems ,
- Electronic Instruments ,
- Exponent ,
- Need For Research ,
- Fast Fourier Transform ,
- Fixed Point ,
- Partial Products ,
- Digital Signal Processing ,
- Mathematical Operations ,
- Integer Multiple ,
- Clock Frequency
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Complex Numbers ,
- Arithmetic Circuits ,
- Control System ,
- Savings ,
- Power Consumption ,
- Binary System ,
- Numerous Systems ,
- Electronic Instruments ,
- Exponent ,
- Need For Research ,
- Fast Fourier Transform ,
- Fixed Point ,
- Partial Products ,
- Digital Signal Processing ,
- Mathematical Operations ,
- Integer Multiple ,
- Clock Frequency