scholarly journals The effect of zero-rate encoders in the multi-terminal source coding problem

2012 ◽  
Author(s):  
Badri N. Vellambi
Keyword(s):  
Source Coding ◽  
Zero Rate

scholarly journals Fixed-Rate Universal Lossy Source Coding and Model Identification: Connection with Zero-Rate Density Estimation and the Skeleton Estimator

Entropy ◽  
2018 ◽  
Vol 20 (9) ◽  
pp. 640 ◽  
Author(s):  
Jorge Silva ◽  
Milan Derpich
Keyword(s):  
Density Estimation ◽  
Source Coding ◽  
Model Identification ◽  
Fixed Rate ◽  
Original Result ◽  
Totally Bounded ◽  
Learning Framework ◽  
Zero Rate ◽  
The Rich ◽  
Necessary And Sufficient

This work demonstrates a formal connection between density estimation with a data-rate constraint and the joint objective of fixed-rate universal lossy source coding and model identification introduced by Raginsky in 2008 (IEEE TIT, 2008, 54, 3059–3077). Using an equivalent learning formulation, we derive a necessary and sufficient condition over the class of densities for the achievability of the joint objective. The learning framework used here is the skeleton estimator, a rate-constrained learning scheme that offers achievable results for the joint coding and modeling problem by optimally adapting its learning parameters to the specific conditions of the problem. The results obtained with the skeleton estimator significantly extend the context where universal lossy source coding and model identification can be achieved, allowing for applications that move from the known case of parametric collection of densities with some smoothness and learnability conditions to the rich family of non-parametric L 1 -totally bounded densities. In addition, in the parametric case we are able to remove one of the assumptions that constrain the applicability of the original result obtaining similar performances in terms of the distortion redundancy and per-letter rate overhead.

Semantic Source Coding for Flexible Lossy Image Compression

2007 ◽  
Author(s):  
Shashi Phoha ◽  
Mendel Schmiedekamp
Keyword(s):  
Image Compression ◽  
Source Coding

Bit-Plane Coding in Extractable Source Coding: optimality, modeling, and application to 360° data

2021 ◽  
pp. 1-1
Author(s):  
Fangping Ye ◽  
Navid Mahmoudian Bidgoli ◽  
Elsa Dupraz ◽  
Aline Roumy ◽  
Karine Amis ◽  
...  
Keyword(s):  
Source Coding ◽  
Bit Plane Coding ◽  
Bit Plane

scholarly journals Research on Secure Debugging Interaction of Sensor Nodes Based on Visible Light Communication

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 953 ◽  
Author(s):  
Yuanchu Yin ◽  
Jiefan Qiu ◽  
Zhiqiang Li ◽  
Mingsheng Cao
Keyword(s):  
Visible Light ◽  
Channel Coding ◽  
Sensor Node ◽  
Source Coding ◽  
Visible Light Communication ◽  
Propagation Characteristic ◽  
Transmission Efficiency ◽  
Sensor Nodes ◽  
Pulse Interval ◽  
Inaccessible Area

When a wireless sensor node’s wireless communication fails after being deployed in an inaccessible area, the lost node cannot be repaired through a debugging interaction that relies on that communication. Visible light communication (VLC) as a supplement of radio wave communication can improve the transmission security at the physical layer due to its unidirectional propagation characteristic. Therefore, we implemented a VLC-based hybrid communication debugging system (HCDS) based on VLC using smartphone and sensor node. For the system’s downlink, the smartphone is taken as the VLC gateway and sends the debugging codes to the sensor node by the flashlight. To improve the transmission efficiency of the downlink, we also propose a new coding method for source coding and channel coding, respectively. For the source coding, we analyze the binary instructions and compress the operands using bitmask techniques. The average compression rate of the binary structure reaches 84.11%. For the channel coding, we optimize dual-header pulse interval (DH-PIM) and propose overlapped DH-PIM (ODH-PIM) by introducing a flashlight half-on state. The flashlight half-on state can improve the representation capability of individual symbols. For the uplink of HCDS, we use the onboard LED of the sensor node to transmit feedback debugging information to the smartphone. At the same time, we design a novel encoding format of DH-PIM to optimize uplink transmission. Experimental results show that the optimized uplink transmission time and BER are reduced by 10.71% and 22%, compared with the original DH-PIM.

scholarly journals Lossless Source Coding in the Point-to-Point, Multiple Access, and Random Access Scenarios

2020 ◽  
Vol 66 (11) ◽  
pp. 6688-6722
Author(s):  
Shuqing Chen ◽  
Michelle Effros ◽  
Victoria Kostina
Keyword(s):  
Multiple Access ◽  
Source Coding ◽  
Random Access ◽  
Point To Point
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