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Journal ArticleDOI

Digital Coding of Waveforms: Principles and Applications to Speech and Video

Nuggehally Sampath Jayant, +1 more
- 01 Nov 1990 - 
- Vol. 9, Iss: 2, pp 139-140
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This article is published in Signal Processing.The article was published on 1990-11-01. It has received 869 citations till now. The article focuses on the topics: Voice activity detection & Speech processing.

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Quantization index modulation: a class of provably good methods for digital watermarking and information embedding

TL;DR: It is shown that QIM is "provably good" against arbitrary bounded and fully informed attacks, and achieves provably better rate distortion-robustness tradeoffs than currently popular spread-spectrum and low-bit(s) modulation methods.
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Rate-compatible punctured convolutional codes (RCPC codes) and their applications

TL;DR: In this article, the concept of punctured convolutional codes is extended by punctuating a low-rate 1/N code periodically with period P to obtain a family of codes with rate P/(P+l), where l can be varied between 1 and (N-1)P. This allows transmission of incremental redundancy in ARQ/FEC (automatic repeat request/forward error correction) schemes and continuous rate variation to change from low to high error protection within a data frame.
Journal ArticleDOI

New edge-directed interpolation

TL;DR: Simulation results demonstrate that the new interpolation algorithm substantially improves the subjective quality of the interpolated images over conventional linear interpolation.
Journal Article

Rate-compatible punctured convolutional codes (RCPC codes) and their applications

TL;DR: The concept of punctured convolutional codes is extended by punctuating a low-rate 1/N code periodically with period P to obtain a family of codes with rate P/(P+l), where l can be varied between 1 and (N-1)P.
Journal ArticleDOI

Kernel Regression for Image Processing and Reconstruction

TL;DR: This paper adapt and expand kernel regression ideas for use in image denoising, upscaling, interpolation, fusion, and more and establishes key relationships with some popular existing methods and shows how several of these algorithms are special cases of the proposed framework.