Rate-Constrained Trellis-Coded Quantization for Large-Scale Noisy Graph Signals
Author:
Affiliation:
1. Department of Communication Engineering, Xiamen University, Xiamen, China
2. School of Information Engineering, Chang’an University, Xi’an, China
3. Department of Electrical Engineering, City University of Hong Kong, Hong Kong
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/4234/9751772/09706436.pdf?arnumber=9706436
Reference25 articles.
1. Noisy Source Vector Quantization Using Kernel Regression
2. Kernel-Based Reconstruction of Graph Signals
3. Toward Optimal Rate Allocation to Sampling Sets for Bandlimited Graph Signals
4. An Efficient Bit Allocation Scheme for Weighted Random Graph Signal Sampling and Quantization
5. Efficient bit allocation for an arbitrary set of quantizers (speech coding)
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1. An Adaptive Rate Allocation Scheme for Time-Varying Graph Signal Quantization;IEEE Communications Letters;2022-06
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