针对视觉系统处理速度慢的问题，利用光电信息技术设计出基于光学小波变换的机器人视觉传感器。

A robot vision system based on optical wavelet transform is designed by means of photoelectric information techniques in accordance with slow processing speed of vision system.

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采用电压频率变换和频率电压变换技术处理模拟信号，有效的克服了光电耦合器的非线性，实现了模拟信号的线性光电隔离。

Analog signal linear photo-isolation is carried out by using voltage-frequency conversion and frequency-voltage conversion technique so as to effectively overcome nonlinearity of the photocoupler.

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用X光电子能谱(XPS)和傅里叶变换红外光谱(FTIR)技术分析了薄膜的化学成分。

X-ray photoelectron spectroscopy (XPS) and Fourier transform infrared spectroscopy (FTIR) were used to study chemical composition.

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