DSP & IC Design Lab│數位訊號處理與積體電路設計實驗室

DSP & IC Design Lab was founded in 2004, National Chi Nan University. To be a world leading research institution, we emphasize "focus and simplicity". The research topics include W5 Processor (CPU), Fuzzy Neural Network (FNN), and Digital Signal Processing (DSP). Team members include 朱翊呈(碩三),余冠廷(碩二),涂隴復(碩二),蔡昊書(碩二),林志朗(碩二),甯敘燊(碩一),許皓筌(碩一),王皓暄(碩一). In our team, you have to remember one rule: "Never give up│永不放棄".

W5-based robots│W5為核心之機器人

Wu 5th processor with four-pipeline-architecture is proposed by Prof. Gin-Der Wu. It is abbreviated as "W5". Based on W5 processor, W5-based robots can perform different tasks automatically by different programs.

[Explore mode│探索模式]

[Follow mode│跟隨模式]

Speech Recognition/Image Recognition│語音辨識/影像辨識

Digital signal processing is the mathematical manipulation of an information signal. It is characterized by the representation of discrete time, discrete frequency, or other discrete domain signals by a sequence of numbers. To consider the application, speech recognition and image recognition are two important research topics.

[[Speech Recognition (Training)│語音辨識(訓練)]

[Image Recognition│影像辨識]

Fuzzy Neural Network (FNN)│模糊類神經網路

Fuzzy Neural Network attempts to exploit human-like knowledge that consists of a group of fuzzy IF–THEN rules. To create fuzzy IF-THEN rules automatically, gradient-descent method is adopted to train parameters of fuzzy rules. Since the training of fuzzy rules can be regarded as the clustering of input data, the method of clustering can be also adopted for fuzzy rules generation. FNN integrates the capability of fuzzy reasoning in handling uncertain information and the capability of neural networks in learning from processes. They have been successfully applied in areas such as pattern classification, control, and signal processing.