Advanced Digital System Design using SoC FPGAs An Integrated Hardware/Software Approach
Produktdetaljer
Om bidragsyterne
Ross Snider received his BSE degree in 1987 from Walla Walla College and his MSEE degree in 1990 from Michigan State University where for his Master's degree he implemented a speech recognition engine in C using Hidden Markov Models. During this time, the first Artificial Neural Network wave hit, but ANN's at the time couldn't perform any better than the HMM statistical models. Dr. Snider decided to spend time studying the real brain and got his PhD at Vanderbilt University in 1997 where he examined neural coding in the visual cortex. He then accepted a Post-Doctoral Fellowship at Johns Hopkins University where he looked at neural coding in the auditory cortex. Dr. Snider currently teaches courses in Digital Signal Processing and Field Programmable Gate Arrays (FPGAs) at Montana State University - Bozeman. His research activities take on a cross-disciplinary approach where he works on systems that are located at the intersection of computer engineering, signal processing, and biology.
Produktdetaljer
Om bidragsyterne
Ross Snider received his BSE degree in 1987 from Walla Walla College and his MSEE degree in 1990 from Michigan State University where for his Master's degree he implemented a speech recognition engine in C using Hidden Markov Models. During this time, the first Artificial Neural Network wave hit, but ANN's at the time couldn't perform any better than the HMM statistical models. Dr. Snider decided to spend time studying the real brain and got his PhD at Vanderbilt University in 1997 where he examined neural coding in the visual cortex. He then accepted a Post-Doctoral Fellowship at Johns Hopkins University where he looked at neural coding in the auditory cortex. Dr. Snider currently teaches courses in Digital Signal Processing and Field Programmable Gate Arrays (FPGAs) at Montana State University - Bozeman. His research activities take on a cross-disciplinary approach where he works on systems that are located at the intersection of computer engineering, signal processing, and biology.