In this brief we investigate the computational complexity of a non-uniform lapped orthogonal filterbank with time domain aliasing reduction. The computational complexity of such filterbank is crucial for its usability in real-time systems, as well as in embedded and mobile devices. Due to the signal-adaptive nature of the filterbank, the actual real-world complexity will be situated between two theoretical bounds and has to be estimated experimentally by processing real-world signals using a coder-decoder pipeline. Both the bounds and the real-world complexity were analyzed in this brief, and a median 14-22% increase in complexity over an adaptive uniform MDCT filterbank was found.
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