Abstract
An adaptive non-uniform quantizer is used at the transmitter for improving the SNR. Without using any extra channel for transmitting quantization step sizes, they are predicted at the receiver or corrected otherwise, thus increasing the channel capacity. The prediction algorithm has been used to optimize the system by maximizing SNR. Three different methods for step-size correction at the receiver have been discussed.Using random samples with first-order Gauss-Markovian sequence (which symbolises speech and picture signals) as the input source, it is shown that the proposed schemes yield better SNR (only for large values of C) than most of other existing quantization schemes.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
