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Jinhui Chen

Researcher at Bell Labs

Publications -  7
Citations -  125

Jinhui Chen is an academic researcher from Bell Labs. The author has contributed to research in topics: Code-excited linear prediction & Speech coding. The author has an hindex of 4, co-authored 7 publications receiving 116 citations.

Papers
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Book ChapterDOI

A robust low-delay CELP speech coder at 16 kbits/s

TL;DR: A candidate algorithm for the new CCITT 16-kb/s speech coding standard is presented, based on backward-adaptive CELP (code-excited linear prediction) where the predictor and the excitation gain are updated by analyzing previously quantized signals.
Proceedings ArticleDOI

When does asymptotic orthogonality exist for very large arrays

TL;DR: It is mathematically proved that when the fades are correlated, asymptotic orthogonality exists for uniform linear arrays (ULA) and uniform planar arrays (UPA) under the condition that there is no overlap between the sets of dominant virtual paths.
Proceedings ArticleDOI

LD-CELP: a high quality 16 kb/s speech coder with low delay

TL;DR: From the preliminary results of CCITT laboratory tests, it appears that this coder can meet all CCITT requirements for the 16 kb/s speech coding standard, and is named low-delay CELP, or LD-CELP.
Proceedings ArticleDOI

Multiuser transmit security beamforming in wireless multiple access channels

TL;DR: This paper proposes an advantageous semidefinite-programming based beamforming solution for multiple eavesdroppers in multiple-access wire-tap channels and investigates the equivalency between beamforming weight solutions under a fixed sum transmit power constraint and those under aFixed secrecy rate when multiple eaves droppers are available.
Proceedings ArticleDOI

Delta Metric Scheduling for LTE-Advanced Uplink Multi-User MIMO Systems

TL;DR: A novel 2-dimensional grid based scheduling scheme for uplink MU-MIMO transmission using either the conventional proportional fairness metric or delta scheduling metric is proposed, which can improve the throughput performance without the sacrifice of the user fairness guarantee.