Introduction to algorithms
Matching Pursuit With Damped Sinusoids
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 3 - Volume 3
Audio representations for data compression and compressed domain processing
Audio representations for data compression and compressed domain processing
Graph Theory with Applications to Engineering and Computer Science (Prentice Hall Series in Automatic Computation)
Low bit rate high quality audio coding with combined harmonic and wavelet representations
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02
A 6Kbps to 85Kbps scalable audio coder
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
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Sinusoidal coding plays an important role in low bit-rate audio coding. This paper considers frequency-differential encoding of the sinusoidal model parameters as an alternative to time-differential encoding. For a given signal frame, the parameters of each sinusoidal component may be encoded either differentially relative to other components in the same frame, or directly, i.e., without differential encoding. Using basic tools from graph theory, we derive several algorithms for finding bit-rate optimal combinations of direct and differential encoding of the sinusoidal parameters. In simulation experiments with audio signals, the algorithms showed bit-rate reductions of up to 28% relative to direct encoding. Furthermore, when compared to what can be considered a traditional FD encoding scheme (as used in MPEG-4 audio), the proposed algorithms achieve bit-rate reductions of up to 6%.