Time-recursive computation and real-time parallel architectures, with application on the modulated lapped transform

Emmanuel N. Frantzeskakis; John S. Baras; Kuo Juey Ray Liu

doi:10.1117/12.160426

1 November 1993 Time-recursive computation and real-time parallel architectures, with application on the Modulated Lapped Transform

Emmanuel N. Frantzeskakis, John S. Baras, Kuo Juey Ray Liu

Author Affiliations +

Proceedings Volume 2027, Advanced Signal Processing Algorithms, Architectures, and Implementations IV; (1993) https://doi.org/10.1117/12.160426
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

Abstract

In this paper, we establish an architectural framework for parallel time-recursive computation. We consider a class of linear operators that consists of the discrete time, time invariant, compactly supported, but otherwise arbitrary kernel functions. We specify the properties of the linear operators that can be implemented efficiently in a time-recursive way. Based on these properties, we develop a routine that produces a time-recursive architectural implementation for a given operator. This routine is instructive for the design of a CAD tool that will facilitate the architecture derivation. Using this background, we design an architecture for the Modulated Lapped Transform (commonly called Modified Discrete Cosine Transform), which has linear cost in operator counts.

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Emmanuel N. Frantzeskakis, John S. Baras, and Kuo Juey Ray Liu "Time-recursive computation and real-time parallel architectures, with application on the Modulated Lapped Transform", Proc. SPIE 2027, Advanced Signal Processing Algorithms, Architectures, and Implementations IV, (1 November 1993); https://doi.org/10.1117/12.160426

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