2012
DOI: 10.5120/8631-1939
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An Efficient VLSI Architecture for FIR Filter using Computation Sharing Multiplier

Abstract: Recent advances in mobile computing and multimedia applications demand high-performance and low-power VLSI digital signal processing (DSP) systems. One of the most widely used operations in DSP is finite-impulse response (FIR) filtering. In the existing method FIR filter is designed using array multiplier, which is having higher delay and power dissipation. The proposed method presents a programmable digital finite impulse response (FIR) filter for high-performance applications. The architecture is based on a … Show more

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Cited by 5 publications
(1 citation statement)
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“…Multiplication is a key arithmetic operation, that has a most important primitive component in the performance of various digital processors, machine learning, internet of things, deep learning, FIR lters, convolution, fast Fourier transform (FFT), distributed computing, ALU unit, signal / Image processing, and multimedia applications. It decides the area, delay, and overall performance of parallel implementations [10].…”
Section: Review Of Multiplicationmentioning
confidence: 99%
“…Multiplication is a key arithmetic operation, that has a most important primitive component in the performance of various digital processors, machine learning, internet of things, deep learning, FIR lters, convolution, fast Fourier transform (FFT), distributed computing, ALU unit, signal / Image processing, and multimedia applications. It decides the area, delay, and overall performance of parallel implementations [10].…”
Section: Review Of Multiplicationmentioning
confidence: 99%