Signal processing system for SAW touch panel
Date Issued
2005
Date
2005
Author(s)
Ke, Kai-Jen
DOI
zh-TW
Abstract
For the friendly interface and easy using, the application for touch panel is increasing. SAW touch panel has more advantages than other types of touch panel, so this thesis is studied the signal process of the SAW touch panel. First of all, using neural network is the main method for estimating the receiving time signal and deciding the final position of the touch point. The system which the thesis designs is complete for determine the touch position of the SAW touch panel. The characteristics of our system are quickly determining touch position, perfect resolution, and sensitive reaction.
In order to easy off other system resources, our design uses additional control chip - AT89S52 -to process all work and operation. First of all, PC is used to train the parameters of neural network, and then the parameters are burned into internal ROM of the control chip. Finally, controller operates to find out the neural output. By the simulation results, we can promote the resolution up to five times by using neural network. And using neural network can reduce the effect of the signal noise. This system successfully constructs a complete mode for finding out precise touch position on the SAW touch panel.
Subjects
類神經網路
觸碰面板
Neural network
SAW touch panel
Type
thesis