Digital Signal Processing
Abstract
A wide variety of problems in digital signal processing were studied, with emphasis on the scalability of architectures for large array processors, timing and reliability limits in large arrays, delay performance of statistical multiplexers, robust signal processing, and digital image coding and processing. Results in the study of array processors include the development of a particular architecture that scales very well for iterative computations on a regular lattice, and a testing method particularly suited to lattice-gas computations. Related work describes design methods for redundant arrays, and arrays that incorporate error detection and correction. In the study of the delay performance of statistical multiplexers, a method is given for computation of the queue-length probability distribution function in the presence of voice traffic. The work in robust signal processing studies the effect of incomplete information on the performance of matched filters. An approach is presented for the compression of color images with limited palette size that does not require color quantization of the decoded image. For comparable quality and bit rates, the proposed technique significantly reduces the decoder computational complexity. Finally, different approaches are compared for block motion compensation coding of interlaced sequences. It is shown that proper use of that redundancy can significantly improve the coding efficiency.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 1992
- Accession Number
- ADA254870
Entities
People
- Bede Liu
- Ken Steiglitz
Organizations
- Princeton University