Publications
9 shownProduct code vector quantizers for waveform and voice coding
Memory and computation requirements imply fundamental limitations on the quality that can be achieved in vector quantization systems used for speech waveform coding and linear p...
Spectral Distortion Measures for Speech Compression.
In recent years several measures of distortion between speech waveforms have been proposed as substitutes for the traditional but subjectively inadequate mean-squared error. All...
Source Coding and Speech Compression
International Telemetering Conference Proceedings / November 14-16, 1978 / Hyatt House Hotel, Los Angeles, California
An Algorithm for Vector Quantizer Design
An efficient and intuitive algorithm is presented for the design of vector quantizers based either on a known probabilistic model or on a long training sequence of data. The bas...
Asymptotic performance of block quantizers with difference distortion measures
Gersho's bounds on the asymptotic (large rate or small distortion) performance of block quantizers are valid for vector distortion measures that are powers of the Euclidean or <...
Comparison of optimal quantizations of speech reflection coefficients
Four quantization schemes for the reflection coefficients obtained from linear prediction speech analysis are theoretically compared. The asymptotic performance of each scheme i...
Quantization
The history of the theory and practice of quantization dates to 1948, although similar ideas had appeared in the literature as long ago as 1898. The fundamental role of quantiza...
Frequent Co-Authors
Researcher Info
- h-index
- 9
- Publications
- 9
- Citations
- 18,511
- Institution
- Stanford University
External Links
Identifiers
- ORCID
- 0000-0002-6947-3637
Impact Metrics
h-index: Number of publications with at least h citations each.