Bottlenecks in Finite Impulse Response Filter Architectures on a Reconfigurable Platform

Shinde, Kunjan D.; Vijaya, C.

doi:10.1007/978-981-16-3342-3_26

Cited by 2 publications

(8 citation statements)

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“…Various FIR filter architectures have been developed by researchers to address the issues related to FIR filter design [1][2][3][4], the major huddle in the design of FIR filter is the multiplier unit [5], as the FIR filter needs higher order for near ideal response and hence the computational complexity increases, thereby the number of multipliers required also increases [1,14]. Multiplication is one of the fundamental operations in all DSP applications therefore extra care is to be taken while designing the FIR filter [3,10].…”

Section: Related Workmentioning

confidence: 99%

“…multiplier block; these designs have bottlenecks of underlying filter architecture even though the functional block is improvised. The critical path of the FIR filter is from in several stages of multipliers and adders as expressed in [5].…”

Section: Related Workmentioning

confidence: 99%

“…FIR filter described using difference equation is represented in Eqs. ( 1) and (2) gives the elaborated view of N th order (T=N+1 tap) FIR filter [1,5].…”

Section: Parallel Architectures and Its Design For Fir Filtermentioning

confidence: 99%

“…The primary phase in signal processing is filtering which is accomplished by the use of filters [1,14]. Digital filters are used to retain the original information while suppressing unwanted interference and noise [5]. In digital signal processing, digital filters like Infinite Impulse Response (IIR) and FIR are often used to accomplish filtering tasks; FIR filter is of a finite impulse response period, which settles to zero in a finite amount of time, meanwhile, the IIR filters consist of internal feedback due to which the output responds indefinitely even in the absence of input and hence the FIR filters are more preferred [1-13, 14, 19-24].…”

Section: Introductionmentioning

confidence: 99%

“…16, No. 4, 2023 DOI: 10.22266/ijies2023.0831.24 5,14]. The FIR filters are frequently used to preprocess signals of various kinds including multimedia (audio, image, video), bio-medical (ECG, EEG, EMG,.…”

Section: Introductionmentioning

confidence: 99%

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Optimizing Parallel FIR Filter Architecture for Time-Sensitive Applications: A Design Approach for High-Throughput and Area Efficiency

2023

IJIES

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The advancement in very large scale integration (VLSI) technology and field programmable gate array's (FPGA) parallel constructive nature for digital circuits has made the implementation of finite impulse response (FIR) filters increasingly relevant in real-time. In FIR filters the computational complexity increases with the length of the filter; numerous techniques have been developed to design viable architectures for realizing FIR filters. The multiple input multiple output (MIMO) based parallel FIR filter architecture often requires a large area for realization as the level of parallelism and filter order increases; this study presents an architecturally enhanced, novel parallel architecture for FIR filter design which eliminates the resource dependencies on the level of parallelism. The proposed architecture addresses the issue by limiting the number of multipliers required irrespective of the change in the level of parallelism and further modifies the data flow to improve the iteration period in the proposed design. The level of parallelism (L) is fixed to 8 in the presented study as the value is neither too low nor high; it is important to note that the increase in the level of parallelism will increase the number of samples generated at a given time. The presented work is demonstrated using tap 16 FIR filter implemented on FPGA VIRTEX 4 xc4vsx35-10ff668 and VIRTEX 5 XC5VSX95T-1FF1136 platforms, and filter-order 16 FIR filter is implemented on ARTIX 7 xc7a200t-2fbg676. The functionality is verified using Xilinx ISE 14.7 and Matlab 2018 environments. The post-synthesis results and comparative study show the design validation; the proposed architecture outperforms the benchmark and conventional MIMO-based parallel FIR filter architectures with an improvement in total delay by 70% w.r.t. [2] and 93% w.r.t. [3] and 2% w.r.t. [4] as compared in case studies 1 -3. The reduction in area metric is observed as dipping in the slice requirement by 31%, 47%, and 110% and dipping in the LUT requirement by 58%, 66%, and 65%, further, the delay metric is improved by 49%, 80%, and 67% when compared with MIMO-based parallel architecture of [1] on the same platforms suggested in [2][3][4] respectively.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

“…FIR filter described using difference equation is represented in Eqs. ( 1) and (2) gives the elaborated view of N th order (T=N+1 tap) FIR filter [1,5].…”

Section: Parallel Architectures and Its Design For Fir Filtermentioning

confidence: 99%