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Content Provider | IEEE Xplore Digital Library |
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Author | Hein, S. |
Copyright Year | 1991 |
Abstract | Previous work has established that the digital output of a /spl Sigma//spl Delta/ modulator as an A/D converter contains more information about the analog input than is extracted with conventional linear filtering. Under reasonable mathematical assumptions, optimal nonlinear decoding of the digital output can achieve significantly larger signal-to-noise ratios than linear filtering. However, the hitherto proposed decoding algorithms only demonstrate conceptual feasibility and are impractical from a computational point of view. We present a new block-based decoding algorithm that, like previous work, employs projections onto convex sets. The algorithm owes its speed to a change of projection norm, an accelerated convergence scheme, and a decimation-like subsampling; it is on the order of 10/sup 4/-10/sup 5/ times faster than one previously published algorithm for typical parameter values, and about 2-10 times slower than linear decoding. The new algorithm is applicable to all currently popular /spl Sigma//spl Delta/ architectures.< |
Sponsorship | IEEE Signal Processing Society |
Starting Page | 1360 |
Ending Page | 1367 |
Page Count | 8 |
File Size | 854484 |
File Format | |
ISSN | 1053587X |
Volume Number | 43 |
Issue Number | 6 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 1995-06-01 |
Publisher Place | U.S.A. |
Access Restriction | One Nation One Subscription (ONOS) |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Delta modulation Maximum likelihood detection Iterative decoding Digital modulation Data mining Signal to noise ratio Timing Acceleration Convergence Bandwidth |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering |
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