FPGA Realization of Slantlet Transform and Its Applications to Disturbances Detection

• Main Authors: Wen-Zhe Lin, 林溫哲
• Other Authors: Shyh-Jier Huang
• Format: Others
• Language: zh-TW
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/90837410824585868179

碩士 === 國立成功大學 === 電機工程學系碩博士班 === 92 === 　　In this thesis, the field programmable gate array (FPGA) is employed for the hardware realization of slantlet transform. The realized product is then applied for the disturbance detection. Because the slantlet transform owns a high-performance computation feature that is suitable for the disturbance detection, the thesis is hence motivated to apply such technique for the detection application. In the implementation process, by use of the hardware description language, the slantlet transform algorithm has been embedded into the FPGA chip, which is also further integrated with the analog-to-digital conversion circuit in order to construct a disturbance detection system. 　　In the study, the software simulation is first made to generate different signals. These simulated signals are then processed through the slantlet transform in order to validate the effectiveness of the method. Besides, a hardware circuit is designed to generate various disturbance waveforms for different scenarios, by which the proposed scheme is prudently validated. From these simulation results and experimental outcome, they have demonstrated high detection-performance of the method suggested in the thesis.