NDLI: Optimal normalisation of prediction residual for predictive coding with random access

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

Compressed sensing with partial support information: coherence-based performance guarantees and alternative direction method of multiplier reconstruction algorithm

Compressed sensing-based unequal error protection by linear codes

Improved higher order robust distributions based on compressive sensing reconstruction

Maximum empirical likelihood estimation of time delay in independently and identically distributed noise

Multiresolution wavelet-based QRS complex detection algorithm suited to several abnormal morphologies

Optimal normalisation of prediction residual for predictive coding with random access

Optimal rate allocation for speech enhancement using remote power-constrained wireless microphones

Quantised innovation Kalman filter: performance analysis and design of quantised level

Robust compressed sensing with bounded and structured uncertainties

Volume 8 (2014) : Issue 6, Aug

Volume 8 (2014) : Issue 5, Jul

Volume 8 (2014) : Issue 4, Jun

Volume 8 (2014) : Issue 3, May

Volume 8 (2014) : Issue 2, Apr

Volume 8 (2014) : Issue 1, Feb

IET Wireless Sensor Systems

Micro & Nano Letters

The Journal of Engineering

Optimal normalisation of prediction residual for predictive coding with random access

Content Provider	IET Digital Library
Author	Shu, Haiyan Yu, Rongshan Huang, Haibin
Abstract	Linear prediction serves as a mathematical operation to estimate the future values of a discrete-time signal based on a linear function of previous samples. When applied to predictive coding of waveform such as speech and audio, a common issue that plagues compression performance is the non-stationary characteristics of prediction residuals around the starting point of the random access frames. This is because dependencies between prediction residuals and the historical waveform are interrupted to satisfy the random access requirement. In such cases, the dynamic range of the prediction residuals will fluctuate dramatically in such frames, leading to substantially poor coding performance in the subsequent entropy coder. In this study, the authors developed a solution to this long-standing issue by establishing a theoretical relationship between the energy envelope of linear prediction residuals in the random access frames and the prediction coefficients. Using the established relationship, an adaptive normalisation method is formulated as a preprocessor to the entropy coder to mitigate the poor coding performance in the random access frames. Simulation results confirm the superiority of the proposed method over existing solutions in terms of coding efficiency performance.
Starting Page	710
Ending Page	719
Page Count	10
ISSN	17519675
Volume Number	8
e-ISSN	17519683
Issue Number	Issue 7, Sep (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/8/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2013.0403
Journal	IET Signal Processing
Publisher Date	2014-02-27
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Codes Adaptive Normalisation Method Audio Coding Energy Envelope Entropy Code Entropy Coder Future Discrete-time Signal Value Estimation Linear Prediction Residuals Mathematical Operation Optimal Prediction Residual Normalisation Poor Coding Performance Mitigation Predictive Waveform Coding Random Access Frames Speech And Audio Coding Speech Coding Speech Processing Technique Subsequent Entropy Coder
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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

Envelope modeling for speech and audio processing using distribution quantization

Non-Uniform Speech/Audio Coding Exploiting Predictability of Temporal Evolution of Spectral Envelopes ⋆

A lossless image coder with context classification, adaptive prediction and adaptive entropy coding (1998)

Context classification and adaptive prediction for lossless image coding.

Recursive and adaptive predictive coding of speech

Enhanced waveform interpolative coding at 4 kbps (1999).

Modified Block Adaptive Predictive Coder For Speech Processing

A new bitplane coder for scalable transform audio coding

Vector quantization in adaptive predictive coding of speech.

Optimal normalisation of prediction residual for predictive coding with random access

Similar Documents

Envelope modeling for speech and audio processing using distribution quantization

Non-Uniform Speech/Audio Coding Exploiting Predictability of Temporal Evolution of Spectral Envelopes ⋆

A lossless image coder with context classification, adaptive prediction and adaptive entropy coding (1998)

Context classification and adaptive prediction for lossless image coding.

Recursive and adaptive predictive coding of speech

Enhanced waveform interpolative coding at 4 kbps (1999).

Modified Block Adaptive Predictive Coder For Speech Processing

A new bitplane coder for scalable transform audio coding

Vector quantization in adaptive predictive coding of speech.

Optimal normalisation of prediction residual for predictive coding with random access