Synthesis of recursive linear‐phase filters for fixed‐point hardware platforms
Autor: | Robert J. Veillette, Firas Hassan, Sami Khorbotly |
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Rok vydání: | 2017 |
Předmět: |
Finite impulse response
Computer science business.industry Gaussian 020208 electrical & electronic engineering Basis function 02 engineering and technology Filter (signal processing) Fixed point 020202 computer hardware & architecture Computer Science::Hardware Architecture symbols.namesake Control and Systems Engineering 0202 electrical engineering electronic engineering information engineering Gaussian function symbols Electrical and Electronic Engineering business Gaussian process Linear phase Computer hardware |
Zdroj: | IET Circuits, Devices & Systems. 11:457-464 |
ISSN: | 1751-8598 1751-858X |
Popis: | This study presents a methodology for recursive implementation of linear-phase finite impulse response (FIR) filters in fixed-point hardware platforms. The work uses a modified version of the switching and reset method to efficiently implement recursive linear-phase exponential filters. An error analysis is presented that defines the upper error bounds resulting from the switching and reset implementation of the exponential filters in fixed-point hardware. The exponential filters are then used as basis functions to synthesise other filters of interest. Gaussian filters are used as an example. The suggested recursive implementation delivers an accurate approximation of the Gaussian function. Unlike traditional techniques for implementing FIR filters, the hardware size of this recursive technique is O(1). In other words, increasing the order of a filter does not proportionally increase its hardware size. The results show that when implementing Gaussian filters on FPGAs, doubling the size of the filter, only increased the hardware size by an average of 6.12%. |
Databáze: | OpenAIRE |
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