Design of frequency response masking FIR filter in the Canonic Signed Digit space using modified Artificial Bee Colony algorithm

Manuel, Manju; Elias, Elizabeth

doi:10.1016/j.engappai.2012.02.010

Cited by 42 publications

(28 citation statements)

References 12 publications

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“…A modified integer coded DE algorithm is proposed for the optimization of FRM filter in [16]. This modified integer coded DE algorithm is used in the optimization of the channel filters.…”

Section: Design Of Multiplier-less Channel Filters Using De Algorithmmentioning

confidence: 99%

“…Also, restoration algorithms [12] are needed to bring the non-canonical bit strings resulting from various operations into the CSD format. So, in this work, they are encoded as the signed indices of the look up table entries of the nearest CSD equivalent [13], [15], [16]. Thus the initial solution is obtained by concatenating these signed indices.…”

Section: Encoding Of Csd Filter Coefficientsmentioning

confidence: 99%

“…operation ensures that the values obtained from the mutation operation are integers. Also, to ensure that the values in the new vector is within the boundaries of look up table, following step is also included [16].…”

Section: Mutationmentioning

confidence: 99%

“…The fitness of the candidate solutions is evaluated using the objective function given in Section 6.2 and only N number of the best solutions are passed to the next stage [16].…”

Section: Prioritized Enlisting Of Solution Vectors Using the Fitness mentioning

confidence: 99%

“…Integer coded Artificial Bee Colony (ABC) algorithm [14] is used for the optimization of multiplier-less transmultiplexer by Manoj and Elizabeth [15]. A modified integer coded ABC and integer coded Differential Evolution (DE) algorithm for the design of CSD encoded FRM filter are presented by Manju and Elizabeth [16]. In this paper, multiplier-less reconfigurable channel filters are implemented using various meta-heuristic algorithms like, Differential Evolution(DE), Harmony Search Algorithm (HSA) [17], Gravitational Search Algorithm (GSA) [18] and Artificial Bee Colony Algorithm (ABC).…”

Section: Introductionmentioning

confidence: 99%

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Design of Multiplier-less Reconfigurable Non-uniform Channel Filters using Meta-heuristic Algorithms

Bindiya¹,

Elias²

2012

IJCA

Self Cite

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Low complexity and reconfigurability are reported to be the key features in a software defined radio (SDR). To obtain these features, a reconfigurable architecture based on frequency response masking (FRM) technique can be used for the implementation of the channel filters in the SDR. The frequency response masking approach is proved to be a good candidate for the realization of a sharp digital finite impulse response (FIR) filter with low complexity. To reduce the complexity and power consumption for hardware realization, a design method which makes the channel filters totally multiplierless is proposed in this paper. Continuous filter coefficients are first converted to finite precision coefficients using signed power of two (SPT) space to obtain a multiplier-less filter. The representation of the FRM filter coefficients in the SPT space can degrade the filter performance. This calls for the use of a suitable optimization technique. The classical gradient based optimization techniques cannot be deployed here, because the search space consists of integers. In this context, meta-heuristic algorithm is a good choice as it can be tailor made to suit the problem under consideration. They are especially useful in finding near optimal solutions in multimodal, multidimensional space. Several meta-heuristic algorithms are modified in this paper to be used for the discrete optimization.

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“…A modified integer coded DE algorithm is proposed for the optimization of FRM filter in [16]. This modified integer coded DE algorithm is used in the optimization of the channel filters.…”

Section: Design Of Multiplier-less Channel Filters Using De Algorithmmentioning

confidence: 99%

Section: Encoding Of Csd Filter Coefficientsmentioning

confidence: 99%

Section: Mutationmentioning

confidence: 99%

“…The fitness of the candidate solutions is evaluated using the objective function given in Section 6.2 and only N number of the best solutions are passed to the next stage [16].…”

Section: Prioritized Enlisting Of Solution Vectors Using the Fitness mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Design of Multiplier-less Reconfigurable Non-uniform Channel Filters using Meta-heuristic Algorithms

Bindiya¹,

Elias²

2012

IJCA

Self Cite

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Multiplierless filter‐bank based multicarrier system by using canonical signed digit representation

Aliasgari

Marghi

Baharani

et al. 2014

Wireless Communications

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The filter-bank based multicarrier (FBMC) system is a candidate for designing the physical layer of a cognitive radio because of its spectral efficiency and the spectral containment. The main drawback of such a system compared with orthogonal frequency division multiplexing systems is its high computation complexity, because each subcarrier is shaped by a non-rectangular prototype filter. Although poly-phase decomposition is suggested to decrease the sampling rate of filtering, the number of filtering operations (multiplications) is dramatically increased by the growing number of subcarriers and the amount of the desired spectral containment. Hence, hardware implementation of the FBMC system faces challenges such as high electrical power consumption and large silicon area occupation. In order to reduce computational complexity, a multiplierless filter design based on the canonical signed digit (CSD) representation is proposed. In this technique, at first, a prototype filter is designed. Then a pre-optimization step is employed to adapt the prototype filter coefficients to system objectives and produce an enriched initial seed for genetic algorithm (GA) optimization. Finally, a customized GA is employed to jointly optimize and synthesize filter coefficients into the finite precision CSD representation so that the system objectives such as intersymbol-interference, interchannel-interference, and stop-band attenuation remain unchanged against the full-precision representation of coefficients.

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Magnitude Comparison in Canonical Signed-Digit Number System

Chakraborty

2022

Lecture Notes in Electrical Engineering

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Design of frequency response masking FIR filter in the Canonic Signed Digit space using modified Artificial Bee Colony algorithm

Cited by 42 publications

References 12 publications

Design of Multiplier-less Reconfigurable Non-uniform Channel Filters using Meta-heuristic Algorithms

Design of Multiplier-less Reconfigurable Non-uniform Channel Filters using Meta-heuristic Algorithms

Multiplierless filter‐bank based multicarrier system by using canonical signed digit representation

Magnitude Comparison in Canonical Signed-Digit Number System

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