Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing,
May 4-9, 2014, Florence, Italy.
Low Complexity Subband Analysis Using Quadrature Mirror Filters
Aditya Chopra (1),
William Reid (1)
Brian L. Evans (2)
(1) National Instruments,
Austin, TX USA
(2) Wireless Networking and Communications Group,
The University of Texas at Austin,
Austin, TX 78712 USA
In this article, a novel method of performing subband analysis
of digital signals is proposed.
Conventional subband decomposition algorithms typically use a
binary tree filterbank structure comprised of halfband filters.
Due to design limitations of finite length filters, conventional
decomposition algorithms typically suffer from interference due to
While longer halfband filters may reduce aliasing, such filters
also increase latency and implementation complexity.
Our proposed algorithm uses a novel structure of quadrature mirror
filters to ensure aliasing is present outside of the spectral
region of interest.
Simulation results indicate that, compared to conventional algorithms,
the proposed algorithm
- reduces interference from aliasing by over 30dB,
- reduces signal processing latency, and
- reduces implementation complexity.
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