NDLI: Digital alias-free signal processing methodology for sparse multiband signals

Content Provider	IEEE Xplore Digital Library
Author	Dongdong Qu Jiuling Jia Jian Zhou
Copyright Year	2013
Description	Author affiliation: Dalian Power Supply Co., Electr. Power of Liaoning, Dalian, China (Jian Zhou) \|\| Sch. of Inf. Sci. Technol., Dalian Maritime Univ., Dalian, China (Dongdong Qu; Jiuling Jia)
Abstract	In this paper, we present a method of reconstructing multiband signals with the arbitrary Spectrum Support Function. The signal reconstruction method is based on the theorem of Minimum Energy Reconstruction which is extended for multiband signals. The method allows the use of low sampling rates close to the Landau rate to achieve the goal. Signal samples are collected by using Periodic Nonuniform Sampling. The work is a direct extension of the previous research on Periodic Nonuniform Sampling. We propose to use two Analog to Digital Converters operating in parallel for alternatively collecting the samples. In comparison with the Periodic Nonuniform Sampling based on single Analog to Digital Converter, the proposed method can significantly improve the quality of signal processing.
Sponsorship	IEEE Eng.Med. Biol. Soc.
Starting Page	1256
Ending Page	1261
File Size	249301
Page Count	6
File Format	PDF
e-ISBN	9781479927647
DOI	10.1109/CISP.2013.6743865
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	spectrum support Function Baseband minimum energy reconstruction Bandwidth Digital signal processing Nonuniform sampling Educational institutions sparse signal periodic nonuniform sampling Digital Alias-free Signal Processing Image reconstruction
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A novel sparse multiband signal reconstruction method by using Periodic Nonuniform Sampling

Optimal Weighted Periodic Nonuniform Sampling sequences for Digital Alias-free Signal Processing

Optimal periodic sampling sequences for nearly-alias-free digital signal processing

A novel Digital Alias-free Signal Processing method by using Weighted Periodic Nonuniform Sampling

Comparison study on nonuniform sampling of bandwidth-limited signals

Alias-Free Periodic Signal Analysis using Efficient Rate Nonuniform Sampling Sets

Minimum rate sampling and reconstruction of signals with arbitrary frequency support (1999)

Nonuniform Sampling of Periodic Bandlimited Signals

Blind Multiband Signal Reconstruction: Compressed Sensing for Analog Signals

Digital alias-free signal processing methodology for sparse multiband signals

Similar Documents

A novel sparse multiband signal reconstruction method by using Periodic Nonuniform Sampling

Optimal Weighted Periodic Nonuniform Sampling sequences for Digital Alias-free Signal Processing

Optimal periodic sampling sequences for nearly-alias-free digital signal processing

A novel Digital Alias-free Signal Processing method by using Weighted Periodic Nonuniform Sampling

Comparison study on nonuniform sampling of bandwidth-limited signals

Alias-Free Periodic Signal Analysis using Efficient Rate Nonuniform Sampling Sets

Minimum rate sampling and reconstruction of signals with arbitrary frequency support (1999)

Nonuniform Sampling of Periodic Bandlimited Signals

Blind Multiband Signal Reconstruction: Compressed Sensing for Analog Signals

Digital alias-free signal processing methodology for sparse multiband signals