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William A. Pearlman
Researcher at Rensselaer Polytechnic Institute
Publications - 202
Citations - 13136
William A. Pearlman is an academic researcher from Rensselaer Polytechnic Institute. The author has contributed to research in topics: Data compression & Set partitioning in hierarchical trees. The author has an hindex of 36, co-authored 202 publications receiving 12924 citations. Previous affiliations of William A. Pearlman include Texas A&M University & University of Wisconsin-Madison.
Papers
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Proceedings ArticleDOI
Multistage Lattice Vector Quantization for Hyperspectral Image Compression
Ying Liu,William A. Pearlman +1 more
TL;DR: In the proposed algorithm, multistage lattice vector quantization (MLVQ) is used to exploit correlations between image slices, while offering successive refinement with low coding complexity and computation.
Proceedings ArticleDOI
Spectral estimation from subbands
S. Rao,William A. Pearlman +1 more
TL;DR: In this article, the equivalence of linear prediction and autoregressive (AR) modeling equations is used to estimate source spectra from subbands, and a method to optimally allocate a prediction order p/sub m/ to the m/sup th/ subband such that the sum of the p/ sub m/'s from m=1 to M equals p, where p is the full-band order of prediction and M is the number of subbands.
Journal ArticleDOI
Capacity of Steganographic Channels
TL;DR: This work investigates a central problem in steganography, that is: How much data can safely be hidden without being detected, and a formal definition of steganographic capacity is presented.
Journal ArticleDOI
Error resilience and recovery in streaming of embedded video
Sungdae Cho,William A. Pearlman +1 more
TL;DR: A new method of partitioning wavelet coefficients into spatio-temporal (s-t) tree blocks to achieve error resilience and superiority to MPEG-2 in noiseless and noisy channels, nnder equal conditions with or without FEC, is clearly demonstrated.
Journal ArticleDOI
Multilayered protection of embedded video bitstreams over binary symmetric and packet erasure channels
Sungdae Cho,William A. Pearlman +1 more
TL;DR: Simulations show that the multilayered protection of 3-D SPIHT outperforms the methods that use single layer protection in terms of average PSNRs and the PSNR ranges, and provides higher averagePSNR's and lower PSNR variances.