Efficient design of switched-current lowpass elliptic wave filters using Bruton transformation

Author(s):  
J.D. Lancaster ◽  
B.M. Al-Hashimi ◽  
M. Moniri
2003 ◽  
Vol 39 (21) ◽  
pp. 1487
Author(s):  
C. Psychalinos ◽  
N. Kontogiannopoulos

2010 ◽  
Vol E93-C (7) ◽  
pp. 1038-1046
Author(s):  
Jae-Ho LEE ◽  
Kimio SAKURAI ◽  
Jiro HIROKAWA ◽  
Makoto ANDO
Keyword(s):  

2020 ◽  
Vol 10 (4) ◽  
pp. 471-477
Author(s):  
Merin Loukrakpam ◽  
Ch. Lison Singh ◽  
Madhuchhanda Choudhury

Background:: In recent years, there has been a high demand for executing digital signal processing and machine learning applications on energy-constrained devices. Squaring is a vital arithmetic operation used in such applications. Hence, improving the energy efficiency of squaring is crucial. Objective:: In this paper, a novel approximation method based on piecewise linear segmentation of the square function is proposed. Methods: Two-segment, four-segment and eight-segment accurate and energy-efficient 32-bit approximate designs for squaring were implemented using this method. The proposed 2-segment approximate squaring hardware showed 12.5% maximum relative error and delivered up to 55.6% energy saving when compared with state-of-the-art approximate multipliers used for squaring. Results: The proposed 4-segment hardware achieved a maximum relative error of 3.13% with up to 46.5% energy saving. Conclusion:: The proposed 8-segment design emerged as the most accurate squaring hardware with a maximum relative error of 0.78%. The comparison also revealed that the 8-segment design is the most efficient design in terms of error-area-delay-power product.


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