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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mittal, U. Ashley, J.P. Cruz-Zeno, E.M. |
| Copyright Year | 2007 |
| Description | Author affiliation: Speech Process. Res. Labs, Motorola Labs, Schaumburg, IL (Mittal, U.; Ashley, J.P.; Cruz-Zeno, E.M.) |
| Abstract | Factorial pulse coding, a method which is known to efficiently code an information signal using unit magnitude pulses, involves computation of combinatorial functions. These computations are highly complex as they require many multiply and divide operations on multi-precision numbers, especially when the length of a signal is large or many unit magnitude pulses are used for coding. In this paper, we propose a very low complexity method for approximation of these combinatorial functions. The approximate functions satisfy a property which preserves unique decode-ability of the factorial packing encoding/decoding algorithm. The low complexity computation enables use of factorial packing in encoding/decoding of 144 MDCT coefficients using 28 unit magnitude pulses for the audio coding mode of the EVRC-WB speech coding standard without affecting the number of bits required for coding. |
| File Size | 4242427 |
| File Format | |
| ISBN | 1424407273 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2007.366673 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-04-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Encoding Flexible printed circuits Audio coding Iterative decoding Speech processing Speech coding Equations Codecs Handheld computers Cellular phones audio coding factorial packing factorial pulse coding enumeration MDCT |
| Content Type | Text |
| Resource Type | Article |
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