HDL implementation of digital filters using floating point vedic multiplier

2017 IEEE International Conference on Circuits and Systems (ICCS) ◽

10.1109/iccs1.2017.8326004 ◽

2017 ◽

Author(s):

Prashant S. Howal ◽

Kishor P. Upla ◽

Mehul C. Patel

Keyword(s):

Digital Filters ◽

Floating Point ◽

Vedic Multiplier

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Limit cycle bounds for floating point implementations of second-order recursive digital filters

IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing ◽

10.1109/82.242338 ◽

1993 ◽

Vol 40 (8) ◽

pp. 493-501 ◽

Author(s):

P.H. Bauer ◽

J. Wang

Keyword(s):

Limit Cycle ◽

Digital Filters ◽

Second Order ◽

Floating Point ◽

Recursive Digital Filters

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Floating point arithmetic and state space digital filters

Twenty-Third Asilomar Conference on Signals, Systems and Computers, 1989. ◽

10.1109/acssc.1989.1201021 ◽

1989 ◽

Author(s):

B.D. Rao

Keyword(s):

State Space ◽

Digital Filters ◽

Floating Point ◽

Floating Point Arithmetic ◽

Point Arithmetic

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Comparative study on performance of single precision floating point multiplier using vedic multiplier and different types of adders

2016 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT) ◽

10.1109/iccicct.2016.7987995 ◽

2016 ◽

Author(s):

K V Gowreesrinivas ◽

P. Samundiswary

Keyword(s):

Comparative Study ◽

Floating Point ◽

Single Precision ◽

Vedic Multiplier ◽

Different Types

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A note on "Realization of digital filters using input-scaled floating-point arithmetic"

IEEE Transactions on Acoustics Speech and Signal Processing ◽

10.1109/tassp.1986.1164892 ◽

1986 ◽

Vol 34 (4) ◽

pp. 995-995

Author(s):

J. Heath

Keyword(s):

Digital Filters ◽

Floating Point ◽

Floating Point Arithmetic ◽

Point Arithmetic

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Synthesis of minimum quantization error digital filters using floating-point arithmetic

Electronics and Communications in Japan (Part I Communications) ◽

10.1002/ecja.4400661005 ◽

1983 ◽

Vol 66 (10) ◽

pp. 29-38 ◽

Author(s):

Masami Akamine ◽

Tatsuo Higuchi

Keyword(s):

Digital Filters ◽

Quantization Error ◽

Floating Point ◽

Floating Point Arithmetic ◽

Point Arithmetic

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An optimization procedure to minimize the roundoff noise in cascade floating-point digital filters

10.1109/icassp.1989.266570 ◽

2003 ◽

Author(s):

S. Kawarai ◽

T. Murakami

Keyword(s):

Digital Filters ◽

Optimization Procedure ◽

Floating Point ◽

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Error Analysis of Two-Dimensional Recursive Digital Filters Employing Floating-Point Arithmetic

IEEE Transactions on Computers ◽

10.1109/tc.1976.1674684 ◽

1976 ◽

Vol C-25 (7) ◽

pp. 755-759 ◽

Author(s):

Ming-Duenn Ni ◽

Aggarwal

Keyword(s):

Error Analysis ◽

Digital Filters ◽

Floating Point ◽

Two Dimensional ◽

Floating Point Arithmetic ◽

Point Arithmetic ◽

Recursive Digital Filters

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Absolute response error bounds for floating point digital filters in state space representation

1993 IEEE International Symposium on Circuits and Systems ◽

10.1109/iscas.1993.692720 ◽

2005 ◽

Author(s):

P.H. Bauer

Keyword(s):

State Space ◽

Error Bounds ◽

Digital Filters ◽

Floating Point ◽

Space Representation ◽

Response Error ◽

State Space Representation

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Floating point arithmetic and digital filters

IEEE Transactions on Signal Processing ◽

10.1109/78.157184 ◽

1992 ◽

Vol 40 (1) ◽

pp. 85-95 ◽

Author(s):

B.D. Rao

Keyword(s):

Digital Filters ◽

Floating Point ◽

Floating Point Arithmetic ◽

Point Arithmetic

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Analysis of roundoff noise in floating point digital filters

[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.1991.150741 ◽

1991 ◽

Author(s):

B.D. Rao

Keyword(s):

Digital Filters ◽

Floating Point ◽

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