Implementation of FIR Filters through Inner product Units and Parallel Accumulations

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Detalles Bibliográficos
Publicado en:	Turkish Journal of Computer and Mathematics Education vol. 15, no. 1 (2024), p. 212
Autor principal:	Krishnarao, P V
Otros Autores:	Vandana, Dasari, Manasa, Bokkisam Venkata, Pavanim, Dasari, Harshitha, Guntumadugu Pavani
Publicado:	Ninety Nine Publication
Materias:	Sound filters Signal analysis Digital signal processing Real time FIR filters Wavelet transforms Fourier transforms Number systems Power Optimization techniques Neural networks Signal processing Mathematics education Design specifications Algorithms Efficiency Motor Reactions Video Technology Computation Computers Educational Technology Time Eye Movements Networks
Acceso en línea:	Citation/Abstract Full Text - PDF
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Descripción
Resumen:	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.
ISSN:	1309-4653
Fuente:	Science Database