Quantization of Bandlimited Functions Using Random Samples

Rohan Joy, Felix Krahmer, Alessandro Lupoli, Radha Ramakrishan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We investigate the compatibility of distributed noise-shaping quantization with random samples of bandlimited functions. Let f be a real-valued π-bandlimited function. Suppose R > 1 is a real number, and assume that x_i _i = 1m is a sequence of i.i.d random variables uniformly distributed on \left[ - \tilde R,\tilde R ], where \tilde R > R is appropriately chosen. We show that on using a distributed noise-shaping quantizer to quantize the values of f at x_i _i = 1m, a function f can be reconstructed from these quantized values such that | f - f\sharp |_L2[ - R,R] decays with high probability as m and \tilde R increase.

Original languageEnglish
Title of host publication2023 International Conference on Sampling Theory and Applications, SampTA 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350328851
DOIs
StatePublished - 2023
Externally publishedYes
Event2023 International Conference on Sampling Theory and Applications, SampTA 2023 - New Haven, United States
Duration: 10 Jul 202314 Jul 2023

Publication series

Name2023 International Conference on Sampling Theory and Applications, SampTA 2023

Conference

Conference2023 International Conference on Sampling Theory and Applications, SampTA 2023
Country/TerritoryUnited States
CityNew Haven
Period10/07/2314/07/23

Fingerprint

Dive into the research topics of 'Quantization of Bandlimited Functions Using Random Samples'. Together they form a unique fingerprint.

Cite this