About PrimaComp
PrimaComp offers efficient and effective solutions for compression of all kinds of data, including images, video, audio, medical signals, meteorological data, and other scientific measurement data.
PrimaComp has contributed solutions for data compression and transmission in many fields, among which are data security, heathcare (medical image and signal storage and transmission), video streaming, materials science, space exploration, and oil and gas exploration.
We specialize in software solutions that possess properties of high efficiency and low complexity that translate to simple and fast hardware and firmware with low power drain.
PrimaComp has contributed solutions for data compression and transmission in many fields, among which are data security, heathcare (medical image and signal storage and transmission), video streaming, materials science, space exploration, and oil and gas exploration.
We specialize in software solutions that possess properties of high efficiency and low complexity that translate to simple and fast hardware and firmware with low power drain.
Meet The Officers
William A. Pearlman, Ph.D., is the founder of PrimaComp, Inc. and is currently its President and Chief Scientific Officer. He is also Professor Emeritus in the Electrical, Computer and Systems Engineering at Rensselaer Polytechnic Institute (RPI). He is best known as co-inventor of two celebrated image compression algorithms, Set Partitioning in Hierarchical Trees (SPIHT) and Set Partitioning Embedded Block (SPECK) coding.
He obtained his B.S. and M.S. degrees at MIT in 1963 and his Ph.D. at Stanford University in 1974. He joined RPI in 1979 and became Professor in 1988. Prior to joining the RPI, he had been a faculty member at the University of Wisconsin-Madison for five years. In addition, he had held industrial positions at Lockheed Missiles and Space Company and GTE-Sylvania and has consulted for several organizations.
He has authored or co-authored more than 200 publications in the fields of image and video compression, information theory, communications theory, and digital signal processing. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and a Fellow of the SPIE- The International Society for Optical Engineering. He received the IEEE Circuits and Systems Society 1998 Video Technology Transactions Best Paper Award and the IEEE Signal Processing Society 1998 Best Paper Award in the Area of Multidimensional Signal and Image Processing. In 2001, he received the Robert Bosch Foundation Award in Appreciation of Outstanding Works in the Field of Picture Coding. He has also delivered several keynote and invited plenary lectures on topics in signal compression and is lead author of the recent textbook, Digital Signal Compression: Principles and Practice, with co-author Amir Said, published by Cambridge University Press. Many of his publications and presentations may be found in his Homepage.
He obtained his B.S. and M.S. degrees at MIT in 1963 and his Ph.D. at Stanford University in 1974. He joined RPI in 1979 and became Professor in 1988. Prior to joining the RPI, he had been a faculty member at the University of Wisconsin-Madison for five years. In addition, he had held industrial positions at Lockheed Missiles and Space Company and GTE-Sylvania and has consulted for several organizations.
He has authored or co-authored more than 200 publications in the fields of image and video compression, information theory, communications theory, and digital signal processing. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and a Fellow of the SPIE- The International Society for Optical Engineering. He received the IEEE Circuits and Systems Society 1998 Video Technology Transactions Best Paper Award and the IEEE Signal Processing Society 1998 Best Paper Award in the Area of Multidimensional Signal and Image Processing. In 2001, he received the Robert Bosch Foundation Award in Appreciation of Outstanding Works in the Field of Picture Coding. He has also delivered several keynote and invited plenary lectures on topics in signal compression and is lead author of the recent textbook, Digital Signal Compression: Principles and Practice, with co-author Amir Said, published by Cambridge University Press. Many of his publications and presentations may be found in his Homepage.
Baruch Mazor, Ph.D. (Chief Operating Officer and CTO), is an experienced technologist and senior manager, having served as technology executive in two venture companies and as scientist and manager at GTE Laboratories. He has extensive R&D experience in compression, signal processing, DSP implementation, and system development. At GTE Laboratories, Dr. Mazor directed the speech technology program. He was the principal investigator of the speech compression, DSP development and speech recognition projects. He was co-developer of the ASET and STC speech codecs, and of the OASIS speech recognition system - a leading edge interactive voice response system designed to automate transactions by means of speech recognition. At Jordan Valley AR and at IN USA, Dr. Mazor served as Vice President for technology and directed numerous efforts in the areas of CCD imaging systems, all-digital DSP-based x-ray photon analyzers, and UV spectrometry.
Dr. Mazor holds Ph.D. and M.S. degrees from Rensselaer Polytechnic Institute and a B.S. degree from the Technion, Israel Institute of Technology. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), and has authored or co-authored over 40 publications and was granted six patents.
Dr. Mazor holds Ph.D. and M.S. degrees from Rensselaer Polytechnic Institute and a B.S. degree from the Technion, Israel Institute of Technology. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), and has authored or co-authored over 40 publications and was granted six patents.