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A master's thesis from Aalborg University
Book cover


A Low Energy Realizable Model for Linear Phase Filtering: A block processing technique

Translated title

En lavenergy realiserbar model til linear fase filtrering

Author

Term

4. term

Publication year

2015

Submitted on

Pages

79

Abstract

Denne kandidatopgave analyserer og designer en frem-tilbage-filtreringsmodel, der opnår lineær fase (alle frekvenser forsinkes lige meget, så signalets form bevares). Modellen realiseres med blokbehandling, hvor data behandles i dele. Opgaven giver en trinvis analytisk udledning og forklarer, hvordan modellens præcise amplituderespons kan beregnes. Modellen evalueres mod et Folded FIR-filter, der bruges som reference. Resultaterne viser, at jo smallere overgangsbåndet er, desto større fordel har frem-tilbage-tilgangen i antal beregninger. Fastpunkt-implementeringer blev udviklet under samme amplitudespecifikation. Der blev desuden udviklet RTL-designs (register-transfer-niveau) af begge modeller for at estimere energiforbrug, og frem-tilbage-modellen reducerede energiforbruget med cirka 25% i forhold til referencen.

This thesis analyzes and designs a forward-backward filtering model that achieves linear phase (all frequencies are delayed equally, preserving the waveform). The model is realized with a block processing technique that handles data in chunks. The thesis provides a step-by-step analytical derivation and explains how to compute the model’s exact amplitude response. The model is evaluated against a Folded FIR filter used as a reference. Results show that the narrower the transition band, the greater the advantage of the forward-backward approach in the number of computations. Fixed-point implementations were developed under the same amplitude specification. Register-transfer level (RTL) designs of both models were created to estimate energy use, and the forward-backward model reduced energy consumption by about 25% compared with the reference.

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