Publications related to Companding

Certification of the efficient random number generation technique based on single-photon detector arrays and time-to-digital converters

Edoardo Charbon, Samuel Burri

True random number generators (TRNGs) allow the generation of true random bit sequences, guaranteeing the unpredictability and perfect balancing of the generated values. TRNGs can be realised from the sampling of quantum phenomena, for instance, the detect ...

Hoboken2021

On Maintaining Linear Convergence of Distributed Learning and Optimization Under Limited Communication

Na Li, Hossein Shokri Ghadikolaei

In distributed optimization and machine learning, multiple nodes coordinate to solve large problems. To do this, the nodes need to compress important algorithm information to bits so that it can be communicated over a digital channel. The communication tim ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Optimized Quantization in Distributed Graph Signal Processing

Pascal Frossard, Isabela Cunha Maia Nobre

Distributed graph signal processing methods require that the graph nodes communicate by exchanging messages. These messages have a finite precision in a realistic network, which may necessitate to implement quantization. Quantization, in turn, generates er ...

IEEE2019

Quantization Design for Distributed Optimization

Colin Neil Jones, Ye Pu, Melanie Nicole Zeilinger

We consider the problem of solving a distributed optimization problem using a distributed computing platform, where the communication in the network is limited: each node can only communicate with its neighbors and the channel has a limited data-rate. A co ...

2017

Compact low-power recording architecture for multichannel acquisition of biological signals and method for compressing said biological signal data

Alexandre Schmid, Mahsa Shoaran, Mahdad Hosseini Kamal

The present invention relates to a method for compressing signal data of a plurality of biological signals captured by a plurality of implanted measurement devices. The present invention further relates to an implantable sensor configured to carry out said ...

2016

An Evaluation Framework for Lossy Compression of Genome Sequencing Quality Values

Marco Mattavelli, Claudio Paolo Alberti, Ana Angelica Hernandez Lopez

This paper provides the specification and an initial validation of an evaluation framework for the comparison of lossy compressors of genome sequencing quality values. The goal is to define reference data, test sets, tools and metrics that shall be used to ...

Ieee2016

Quantization Design for Unconstrained Distributed Optimization

Colin Neil Jones, Ye Pu, Melanie Nicole Zeilinger

We consider an unconstrained distributed optimization problem and assume that the bit rate of the communication in the network is limited. We propose a distributed optimization algorithm with an iteratively refining quantization design, which bounds the qu ...

2015

Quantization Design for Distributed Optimization

Colin Neil Jones, Ye Pu, Melanie Nicole Zeilinger

We consider the problem of solving a distributed optimization problem using a distributed computing platform, where the communication in the network is limited: each node can only communicate with its neighbours and the channel has a limited data-rate. A c ...

2015

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Companding

Time vs. Truth: Age-Distortion Tradeoffs and Strategies for Distributed Inference

Certification of the efficient random number generation technique based on single-photon detector arrays and time-to-digital converters

On Maintaining Linear Convergence of Distributed Learning and Optimization Under Limited Communication

Optimized Quantization in Distributed Graph Signal Processing

A Maximum-Likelihood Sequence Detection Powered ADC-Based Serial Link

Quantization Design for Distributed Optimization

Compact low-power recording architecture for multichannel acquisition of biological signals and method for compressing said biological signal data

An Evaluation Framework for Lossy Compression of Genome Sequencing Quality Values

Quantization Design for Unconstrained Distributed Optimization

Quantization Design for Distributed Optimization

Graph Chatbot

Chat with Graph Search

Time vs. Truth: Age-Distortion Tradeoffs and Strategies for Distributed Inference

On Maintaining Linear Convergence of Distributed Learning and Optimization Under Limited Communication

Quantization Design for Unconstrained Distributed Optimization

Certification of the efficient random number generation technique based on single-photon detector arrays and time-to-digital converters

Quantization Design for Distributed Optimization

A Maximum-Likelihood Sequence Detection Powered ADC-Based Serial Link

Compact low-power recording architecture for multichannel acquisition of biological signals and method for compressing said biological signal data

An Evaluation Framework for Lossy Compression of Genome Sequencing Quality Values

Optimized Quantization in Distributed Graph Signal Processing

Quantization Design for Distributed Optimization