Research Lab
Image Category Subject Research Direction Professor
Research Lab Mixed-Signal and Power IC Lab Chen, Ke-Horng
Research Lab PSOC LAB Chiu, Yi
Research Lab Electrical and Biophotonic Integration Lab.(EBIL) / Projection DisplayTechnology Lab. (PDTL) OU-YANG, MANG
Research Lab Sensors IC Laboratory Chao, Chang-Po
Research Lab RTES Lab RTES Lab is a new laboratory established on July 4th, 2004. The lab primarily focuses on the researches of embedded and real-time operating systems, network security, software obfuscation, voice-over-IP, network quality, etc. Headed by Professor Yu-Lun Huang, who expertizes in embedded software design and has years of practical experiences in the embedded industry, RTES lab members have been growing to more than ten members in the past two years. The lab equips with several desktop and laptop computers, evaluation boards with various embedded processors, Bluetooth development SDK, FPGAs, ZigBee, RFID EV boards, logical analyzers and oscillators. You are welcome to visit our laboratory and enjoy a trip to the world of embedded systems. Huang, Yu-Lun
Research Lab Broadband Ubiquitous Networking Lin, Ting-Yu
Research Lab Microsystem Control Laboratory Chiou, Jin-Chern
Research Lab Broadband Communications and Signal Processing Lab The research expertise of our Lab. is broadband wireless communication, signal processing, energy efficient MIMO-OFDM transceiver, Millimeter-Wave Technology, wireless full-duplex radio, and 5G. Wu, Wen-Rong
Research Lab Autonomous Vehicle and Intelligent Robot Lab Hsiao, Te-Sheng
Research Lab IMAGE PROCESSING SYSTEM LAB. Lin, Sheng-Fuu
Research Lab Evolutionary Computing laboratory 1. Self-Learning FNN (SLFNN) with Optimal On-Line Tuning for Water Injection Control in a Turbo Charged Automobile. 2. Real-Time Hardware Implementation of Intelligent Adaptive Fuzzy Neural Network Controller For Uncertain Nonlinear Systems.
Research Lab Intelligent System Control Integration Lab Kai-Tai Song
Research Lab Mobile BroadBand Wireless Communication Laboratories Cooperative communication system Broadband wireless communication system Distributed signal processing Non-coherent communication Wu, Sau-Hsuan
Research Lab Mixed-Signal Circuit Lab Analog IC Design High Speed Transceiver Clock Synchronization Analog / Digital IC Testing Design for Test Su, Chau-Chin
Research Lab Communication system design and signal processing lab Innovative fourth-generation signal processing technology ‧Cross-layer wireless signal processing technology ‧Communication Soc architecture ‧MIMO-OFDM system design and innovative signal processing technology Lee, Ta-Sung Lee
Research Lab Power Electronics IC Design and DSP Control Lab Tzou, Ying-Yu
Research Lab Chaotic Systems and Signal Processing Lab Wu, Bing-Fei
Research Lab Soc Lab Dung, Lan-Rong
Research Lab Communication and Network Research Current Research Interests 1. Generalized opportunistic communications a. Efficient preamble and spreading sequences and protocol designs for cognitive radio (CR) based spread spectrum systems. b. Optimal and near optimal radio resource allocation schemes for non-orthogonal channel based systems with latency and fairness constraints. c. Combining resource allocation, scheduling and routing for cooperative MIMO networks. d. Distributed-cooperative spectrum sensing schemes using quantized local information and compressive sampling/detection. 2D and 3D location-spectrum and noise temperature map reconstruction for exploring new degrees of freedom in signal transmission. e. Interference control for two-tier location-aware femto cell systems that minimizes intra-tier and cross-tier interference for optimal cell coverage and maximum network capacity. f. Game theoretic approach for opportunistic and resource optimized communications. 2. Inner Transceiver Design: Precoding, Synchronization, Channel Estimation, Interference Cancellation and Suppression a. Reduced-complexity nonlinear MIMO transceiver design and performance analysis.. b. Efficient cell search and link acquisition methods for hierarchical multicell OFDMA systems. c. Network synchronization for hierarchical and ad hoc networks. 3. Advanced Error-Control Schemes and Sequence Design a. HARQ protocols for multiuser MIMO-OFDMA systems that take into account transmission scheduling, power/rate control, precoding and cooperative relay/coding. b. Serialized and stochastic LDPC code decoding: structures, scheduling and convergence analysis. c. Annealed and randomized belief propagation algorithms for binary networks. d. Cyclic code based preamble sequences design for OFDMA networks. Su, Yu-Ted
Research Lab TCM/Sense SOC Lab Huang, Sheng-Chieh
Research Lab Nonlinear Control and Applications Laboratory Liaw, Der-Cherng
Research Lab Brain Research Center
Research Lab Microwave and Millimeter Wave Laboratory Microwave circuit design and integration Antenna design MEMS
Research Lab X-Lab Hu, Jwu-Sheng
Research Lab Signal Processing for Communication Lab Wired communication ● DMT/VDSL system ● Equalization technique ● Windowing technique Wireless communication ● MIMO system ● Precoding technique ● Limited feedback design Lin, Yuan-Pei
Research Lab Network Communications Lab. Ⅱ Chang, Chung-Ju
Research Lab Network Communications Lab.Ⅴ Feng, Kai-Ten
Research Lab Information Theory Lab At the moment there are several research projects running, all of them centered around the analysis of the maximum amount of information that can be transmitted over a certain communication system, the so called capacity. Specifically, our research time is concentrated on the following questions: What are the fundamental limitations of wireless communication systems? What are the fundamental limitations of wireless optical communication systems? What are the fundamental limitations of wired optical communication systems? What is the high-SNR capacity of flat fading channels? In particular we are interested in the second term of the high-SNR asymptotic expansion of capacity, the fading number. How can we find approximations to the exact capacity using numerical methods and computer simulation or computation? How does the high-SNR capacity of flat fading channels change, if instead of several antennas at the transmitter we have several (independent) users with only one antenna? How sensitive our high-SNR capacity results to changes of the channel model?
Research Lab Electronic industrial control laboratory Automatic Optical Inspection AOI Specific Motor Research Wafer Probe Station Single chip Solution Laser Marking System e-home Lin, Shir-Kuan
Research Lab Biomedical Signal Reasearch Pei-Chen Lo