Design of Multiplierless Digital IIR Filter Using Modified Cuckoo Search Algorithm

Ansari, Shamsher; Kishor, G.; Verma, Parveen K.; Amesur, Nikhil B.; Sharma, Ila; Kumar, Arun

doi:10.1109/iccsp.2018.8524139

Cited by 3 publications

(2 citation statements)

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“…We focus here on the optimal design of individual second-order filters (see Fig. 1) as a building brick for methods using cascaded forms, e. g., [20]. Our ambition is to solve the combined FD & Q & I steps for a second-order IIR within one global optimization.…”

Section: Normalized Frequency ωmentioning

confidence: 99%

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Hardware-aware Design of Multiplierless Second-Order IIR Filters with Minimum Adders

Garcia,

Volkova,

Kumm

et al. 2021

Preprint

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In this work we optimally solve the problem of multiplierless design of second-order Infinite Impulse Response filters with minimum number of adders. Given a frequency specification, we design a stable direct form filter with hardwareaware fixed-point coefficients that yielding minimal number of adders when replacing all the multiplications by bit shifts and additions. The coefficient design, quantization and implementation, typically conducted independently, are now gathered into one global optimization problem, modeled through integer linear programming and efficiently solved using generic solvers. We guarantee the frequency-domain specifications and stability, which together with optimal number of adders will significantly simplify design-space exploration for filter designers.The optimal filters are implemented within the FloPoCo IP core generator and synthesized for Field Programmable Gate Arrays. With respect to state-of-the-art three-step filter design methods, our one-step design approach achieves, on average, 42% reduction in number of lookup tables and 21% improvement in delay.

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Section: Normalized Frequency ωmentioning

confidence: 99%

“…Even for one second-order filter this is a difficult non-linear combinatorial problem. Recent work [20] attempts to solve the IIR filter design and cascading problem, while targeting coefficients with the minimal binary writing, but does not lead to optimal solutions due to restricted design-space and a heuristic solver.…”

Section: Normalized Frequency ωmentioning

confidence: 99%