相關主題
商品描述
This textbook teaches students techniques for the design of advanced digital systems using System-on-Chip (SoC) Field Programmable Gate Arrays (FPGAs). The author demonstrates design of custom hardware components for the FPGA fabric using VHDL, with implementation of custom hardware-software interfaces. Readers gain hands-on experience by writing programs and Linux device drivers in C to interact with custom hardware. This textbook enables laboratory experience in the design of custom digital systems using SoC FPGAs, emphasizing computational tasks such as digital signal processing, audio, or video processing.
商品描述(中文翻譯)
這本教科書教導學生使用系統單晶片（System-on-Chip, SoC）場可程式邏輯閘陣列（Field Programmable Gate Arrays, FPGAs）設計先進數位系統的技術。作者展示了如何使用 VHDL 為 FPGA 結構設計自訂硬體元件，並實現自訂的硬體-軟體介面。讀者透過撰寫程式和 Linux 裝置驅動程式（使用 C 語言）來與自訂硬體互動，獲得實作經驗。這本教科書使學生能夠在使用 SoC FPGAs 設計自訂數位系統的實驗室中獲得經驗，並強調數位信號處理、音訊或影像處理等計算任務。
作者簡介
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.
作者簡介(中文翻譯)
羅斯·斯奈德（Ross Snider）於1987年獲得華拉華拉學院（Walla Walla College）的工程學士學位，並於1990年在密西根州立大學（Michigan State University）獲得電機工程碩士學位，期間他在碩士論文中使用隱馬可夫模型（Hidden Markov Models）實現了一個語音識別引擎。在此期間，第一波人工神經網路（Artificial Neural Network）興起，但當時的ANN表現並不比HMM統計模型更好。斯奈德博士決定花時間研究真正的大腦，並於1997年在范德比特大學（Vanderbilt University）獲得博士學位，研究視覺皮層中的神經編碼。隨後，他接受了約翰霍普金斯大學（Johns Hopkins University）的博士後研究獎學金，研究聽覺皮層中的神經編碼。斯奈德博士目前在蒙大拿州立大學-博茲曼（Montana State University - Bozeman）教授數位信號處理和現場可編程閘陣列（FPGAs）課程。他的研究活動採取跨學科的方法，專注於位於計算機工程、信號處理和生物學交集的系統。
