High performance FIR Architecture for EOG Signal Noise Supression

Kumar, A. Ramesh; Kumar, Aruru Sai; Prasad, K. Hemanth Lakshmi Phani; Sriraj, B.; Rajasri, P. Raja

doi:10.1109/icccnt56998.2023.10308351

Cited by 1 publication

(1 citation statement)

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“…The Digital Signal Processing (DSP) finds importance mainly in biomedical devices or wearable devices. Kumar, et.al [5] designed architecture for a Finite Impulse Response (FIR) filter is proposed in this study to efficiently reduce noise in Electrooculography (EOG) signals. Electromagnetic interference (EMI) and muscular activity are two common sources of noise that regularly alter EOG signals, which are utilized to identify eye movements.…”

Section: Literature Surveymentioning

confidence: 99%

Implementation of FIR Filters through Inner product Units and Parallel Accumulations

Krishnarao,

Vandana,

Manasa

et al. 2024

TURCOMAT

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Finite Impulse Response (FIR) filters are pivotal in digital signal processing, finding applications in diverse fields like audio processing, telecommunications, and biomedical signal analysis. This work presents an enhanced implementation methodology for FIR filters utilizing inner product computation and parallel accumulations. In the existing, FIR filters are typically implemented using convolution techniques, basic adders, and multipliers, which involve sequential processing and intensive computational resources. This method often leads to latency issues and limits real-time applications. Moreover, traditional implementations suffer from inefficiencies in utilizing hardware resources optimally, leading to suboptimal performance. The proposed methodology overcomes these limitations by leveraging inner product computations and parallel accumulation techniques. By exploiting inherent parallelism in the filtering process, the proposed method significantly reduces latency and enhances throughput.

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Section: Literature Surveymentioning

confidence: 99%