
FIR Filter Sharpening by Frequency Masking and Pipelining-Interleaving Technique
Author(s) -
Milenko P. Ćirić,
Vidosava Radonjić,
Radojka Krneta,
N. J. Stefanovic
Publication year - 2014
Publication title -
advances in electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 23
eISSN - 1844-7600
pISSN - 1582-7445
DOI - 10.4316/aece.2014.04010
Subject(s) - sharpening , interleaving , computer science , masking (illustration) , finite impulse response , filter (signal processing) , high pass filter , speech recognition , parallel computing , electronic engineering , computer hardware , low pass filter , algorithm , artificial intelligence , computer vision , engineering , art , visual arts , operating system
This paper focuses on the improvements of digital filters with a highly sharp transition zone on the Xilinx FPGA chips by combining a sharpening method based on the amplitude change function and frequency masking and PI (Pipelining-Interleaving) techniques. A linear phase requires digital filter realizations with Finite Impulse Response (FIR) filters. On the other hand, a drawback of FIR filters applications is a low computational efficiency, especially in applications such as filter sharpening techniques, because this technique uses processing the data by repeated passes through the same filter. Computational efficiency of FIR filters can be significantly improved by using some of the multirate techniques, and such a degree of computation savings cannot be achieved in multirate implementations of IIR (Infinite Impulse Response) filters. This paper shows the realization of a filter sharpening method with FIR filters combined with frequency masking and PI (Pipelining-Interleaving) technique in order to effectively realize the filter with improved characteristic. This realization at the same time keeps the good features of FIR filters such as the linear phase characteristic