Abstract
The paper looks at index assignment algorithms which seek to minimize channel distortion on noisy binary symmetric channels for equiprobable scalar and vector quantizations. An eigenspace index assignment algorithm (EIA) for a scalar quantization model is proposed which depends on a regression calculation and a sorting algorithm. Then, a vector eigenspace index assignment algorithm (VEIA) which extends the EIA for scalar quantization to vector quantization is proposed. The proposed algorithms are compared with the Binary Switch Algorithm (BSA) on a voice digitization in North American Telephone Systems CCITT and the first-order Markov-Gauss codebooks. In terms of CPU time and signal-to-noise ratio performances, they are shown to be fast and effective.
Sign-in/Register to access full text options 
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.
