NDLI: Linear filtering methods for fixed rate quantisation with noisy symmetric error channels

Please wait, while we are loading the content...

Biosurface and Biotribology

CAAI Transactions on Intelligence Technology

CIRED - Open Access Proceedings Journal

Chinese Journal of Electronics

Cognitive Computation and Systems

Electronics Letters

Energy Conversion and Economics

Engineering & Technology

Engineering Biology

Healthcare Technology Letters

IET Circuits, Devices & Systems

IET Collaborative Intelligent Manufacturing

IET Communications

IET Computer Vision

IET Computers & Digital Techniques

IET Control Theory & Applications

IET Cyber-Physical Systems: Theory & Applications

IET Cyber-Systems and Robotics

IET Electric Power Applications

IET Electrical Systems in Transportation

IET Energy Systems Integration

IET Generation, Transmission & Distribution

IET Image Processing

IET Information Security

IET Intelligent Transport Systems

IET Microwaves, Antennas & Propagation

IET Nanobiotechnology

IET Nanodielectrics

IET Optoelectronics

IET Power Electronics

IET Quantum Communication

IET Radar, Sonar & Navigation

IET Renewable Power Generation

IET Science, Measurement & Technology

IET Signal Processing

Volume 15 (2021)

Volume 14 (2020)

Volume 13 (2019)

Volume 12 (2018)

Volume 11 (2017)

Volume 10 (2016)

Volume 9 (2015)

Volume 8 (2014)

Volume 7 (2013)

Volume 7 (2013) : Issue 9, Dec

Adding signal for peak-to-average power reduction and predistortion in an orthogonal frequency division multiplexing context

Application of the Mittag–Leffler expansion to sampling discontinuous signals

Cauchy diversity measures: a novel methodology for enhancing sparsity in compressed sensing

Design of oversampled generalised discrete Fourier transform filter banks for application to subband-based blind source separation

Design of two-dimensional large-scale DFT-modulated filter bank

Effects of transmitting correlated waveforms for co-located multi-input multi-output radar with target detection and localisation

Eigenvalue-based spectrum sensing using the exact distribution of the maximum eigenvalue of a Wishart matrix

Fault detection for non-linear system with unknown input and state constraints

Linear filtering methods for fixed rate quantisation with noisy symmetric error channels

Near-optimal detection with constant false alarm ratio in varying impulsive interference

Optimal linear estimation for systems with transmission delays and packet dropouts

Recursive Bayesian estimation for Markov jump linear systems with unknown mode-dependent state delays

Robust minimum variance multiple-input multiple-output radar beamformer

Volume 7 (2013) : Issue 8, Oct

Volume 7 (2013) : Issue 7, Sep

Volume 7 (2013) : Issue 6, Aug

Volume 7 (2013) : Issue 5, Jul

Volume 7 (2013) : Issue 4, Jun

Volume 7 (2013) : Issue 3, May

Volume 7 (2013) : Issue 2, Apr

Volume 7 (2013) : Issue 1, Feb

Volume 5 (2011)

Volume 4 (2010)

Volume 3 (2009)

Volume 2 (2008)

Volume 1 (2007)

IET Smart Cities

IET Systems Biology

IET Wireless Sensor Systems

Micro & Nano Letters

The Journal of Engineering

Linear filtering methods for fixed rate quantisation with noisy symmetric error channels

Content Provider	IET Digital Library
Author	Thiagarajan, Ganesan Murthy, Chandra Ramabhadra
Abstract	This study considers linear filtering methods for minimising the end-to-end average distortion of a fixed-rate source quantisation system. For the source encoder, both scalar and vector quantisation are considered. The codebook index output by the encoder is sent over a noisy discrete memoryless channel whose statistics could be unknown at the transmitter. At the receiver, the code vector corresponding to the received index is passed through a linear receive filter, whose output is an estimate of the source instantiation. Under this setup, an approximate expression for the average weighted mean-square error (WMSE) between the source instantiation and the reconstructed vector at the receiver is derived using high-resolution quantisation theory. Also, a closed-form expression for the linear receive filter that minimises the approximate average WMSE is derived. The generality of framework developed is further demonstrated by theoretically analysing the performance of other adaptation techniques that can be employed when the channel statistics are available at the transmitter also, such as joint transmit–receive linear filtering and codebook scaling. Monte Carlo simulation results validate the theoretical expressions, and illustrate the improvement in the average distortion that can be obtained using linear filtering techniques.
Starting Page	888
Ending Page	896
Page Count	9
ISSN	17519675
Volume Number	7
e-ISSN	17519683
Issue Number	Issue 9, Dec (2013)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/7/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2013.0041
Journal	IET Signal Processing
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Approximate Expression Channel Statistics Code Codebook Index Output Codebook Scaling End-to-end Average Distortion Filtering Method in Signal Processing Filtering Theory Fixed-rate Source Quantisation System High-resolution Quantisation Theory Joint Transmitâ€“receive Linear Filtering Linear Filtering Method Linear Receive Filter Monte Carlo Method Monte Carlo Simulation Noisy Discrete Memoryless Channel Noisy Symmetric Error Channel Receiver Scalar Quantisations Statistics Transmitter Vector Quantisation Vector Quantisations Weighted Mean Square Error WMSE
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

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