Hybrid wavelet packet analysis

Hedges, Robert A.

doi:10.1109/acssc.1997.679105

Cited by 3 publications

(2 citation statements)

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“…For a given WP tree, related research directed towards optimal filter selection [135,136,137] has also emphasized optimization of statistical rather than perceptual properties. The questions of perceptually motivated filter selection and tree construction are central to successful application of WP analysis in audio coding algorithms.…”

Section: Adapted Wavelet Packet Decompositionsmentioning

confidence: 99%

Perceptual coding of digital audio

2000

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I. INTRODUCTIONAudio coding or audio compression algorithms are used to obtain compact digital representations of high-fidelity (wideband) audio signals for the purpose of efficient transmission or storage. The central objective in audio coding is to represent the signal with a minimum number of bits while achieving transparent signal reproduction, i.e., generating output audio that cannot be distinguished from the original input, even by a sensitive listener ("golden ears"). This paper gives a review of algorithms for transparent coding of high-fidelity audio.The introduction of the compact disk (CD) in the early eighties [1] brought to the fore all of the advantages of digital audio representation, including unprecedented high-fidelity, dynamic range, and robustness. These advantages, however, came at the expense of high data rates. Conventional CD and digital audio tape (DAT) systems are typically sampled at either 44.1 or 48 kilohertz (kHz) using pulse code modulation (PCM) with a sixteen bit sample resolution. This results in uncompressed data rates of 705.6/768 kilobits per second (kbps) for a monaural channel, or 1.41/1.54 megabits per second (Mbps) for a stereo pair at 44.1/48 kHz, respectively. Although high, these data rates were accommodated successfully in first generation digital audio applications such as CD and DAT. Unfortunately, second generation multimedia applications and wireless systems in particular are often subject to bandwidth and cost constraints that are incompatible with high data rates. Because of the success enjoyed by the first generation, however, end users have come to expect "CD-quality" audio reproduction from any digital system. Therefore, new network and wireless multimedia digital audio systems must reduce data rates without compromising reproduction quality. These and other considerations have motivated considerable research during the last decade towards formulation of compression schemes that can satisfy simultaneously the conflicting demands of high compression ratios and transparent reproduction quality for high-fidelity audio signals

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Section: Adapted Wavelet Packet Decompositionsmentioning

confidence: 99%

Perceptual coding of digital audio

2000

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“…"A very common pitfall when using any kind of transform is to forget the :presence of the analyzing function in the transformed field." [2] This paper explores a generalization of wavelet packets, called hybrid witvelet packets, which include the choice of wavelet function within the analysis [3]. It is assumed that the reader is familiar with the discrete wavelet transform, wavelet packets, and the use of quadrature mirror filters (QMFs) in their computation.…”

Section: Introductionmentioning

confidence: 99%

Hybrid wavelet packet analysis

Hedges

Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)

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Performance of any transform in a particular application is highly dependent on the basis functions chosen. The choice of quadrature mirror filters (QMF) used in a wavelet packet analysis should be taken into consideration in a compresriion scheme. The choice of appropriate QMF is not only signal dependent, but scale dependent within a given signal. A generalization, known as Hybrid Wavelet P,acket analysis, which includes the choice of optimal QMF at each level of decomposition is explored. Computational results show that optimized hybrid wavelet packet bases provide better compression for a class of signals and indicate methods to develop search strategies to find these optimal bases. 0-7803-5073-1/98/$10.00 01998 IEEE

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Hybrid wavelet packets: a top down approach

Hedges

Cochran

Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284)

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Hybrid wavelet packet analysis

Cited by 3 publications

References 5 publications

Perceptual coding of digital audio

Perceptual coding of digital audio

Hybrid wavelet packet analysis

Hybrid wavelet packets: a top down approach

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