Efficient Implementation for 3-Parallel Linear-Phase FIR Digital Odd Length Filters

Rao, K. Anjali; Kumar, Abhishek; Purohit, Neetesh

doi:10.1109/cict51604.2020.9312116

Cited by 3 publications

(1 citation statement)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Rao, et.al [7] explained Fast FIR algorithm (FFA) produces reduced complexity parallel FIR filtering structure. The FFA can reduce the number of multiplications significantly for large value of filter length N. In this paper we have proposed a new approach to design 2-parallel and 3-parallel (i.e.…”

Section: Literature Surveymentioning

confidence: 99%

Implementation of FIR Filters through Inner product Units and Parallel Accumulations

Krishnarao,

Vandana,

Manasa

et al. 2024

TURCOMAT

View full text Add to dashboard Cite

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.

show abstract

Section: Literature Surveymentioning

confidence: 99%