A 1.1GHz LC VCO with Automatic Amplitude Control for Tuner Applications

This paper presents an LC VCO with auto-amplitude control （AAC）, in which pMOS FETs are used,and the varactors are directly connected to ground to widen the linear range of Kvco. The AAC circuitry adds little noise to the VCO but provides it with robust performance over a wide temperature and carrier frequency range.The VCO is fabricated in a chartered 50GHz 0.35μm SiGe BiCMOS process. The measurements show that it has - 127. 27dBc/Hz phase noise at 1MHz offset and a linear gain of 32.4MHz/V between 990MHz and 1.14GHz.The whole circuit draws 6. 6mA current from 5V supply.

Electron trapping materials for use in a picosecond infrared streak camera

We describe our research on the employment of an infrared upconversion screen made of electron trapping material (ETM) in combination with the high sensitivity of the S-20 photocathode responsive to visible radiation to produce a streak camera arrangement capable of viewing and recording infrared incident pulses. The ETM-based upconversion screen converts 800-1600 nm infrared radiation to visible light which is viewed or recorded by the S-20 photocathode. The peak values of the upconversion efficiency are located at 1165 nm for CaS:Eu, Sm and 1060 nm for CaS:Ce, Sm. The present experiment showed time resolution was 12.3 ps for a CaS:Eu, Sm screen and 8.4 ps for a CaS:Ce, Sm screen. The minimum detectability is 4.8 x 10(-9) J/mm(2) (minimum detectability of the coupled visible streak camera is 8.3x10(-10) J/mm(2)). Other parameters, such as spatial resolution and dynamic range, have also been measured and analyzed. The results show ETM can be used in the measurement of infrared ultrafast phenomena up to picosecond time domain. In consideration of the limited number of trapped electrons in ETM, the infrared-sensitive streak camera consisting of an ETM-based upconversion screen is suitable to operate in the single shot mode. (C) 1999 American Institute of Physics. [S0034-6748(99)00112-4].

基于人脸检测的自动摄像跟踪系统开发研究

自动摄像跟踪系统，是一种通过传感器检测或者数字图像处理的方法，控制摄像机自动的对运动中的人物或特定物体实施跟踪拍摄的系统，融合了计算机网络通信、计算机视觉、传感器网络等多个领域的技术，包含一系列软件和硬件设备，可以广泛运用在安全保卫视频监控，会议摄像，课堂和讲座摄像，表演摄像等场景，是近年来需求增长较大的领域。 人脸检测是数字图像处理和计算机视觉的一个分支问题，指的是在输入的图像中判断是否有人脸存在，并确定出所有人脸的位置、大小甚至姿势朝向的过程，作为进一步控制和处理的依据。这是计算机视觉方向最热门的技术专题之一，拥有非常广阔的应用空间。 目前还没有成熟的自动跟踪摄像系统应用于安全保卫或一般民用摄像领域，已有的一些类似系统也不能完全达到自动跟踪人物摄像的要求，性能距离全自动化无人干涉的跟踪摄像还有相当差距。 本文旨在运用计算机网络作为图像数据和控制信息媒体，运用数字图像处理领域计算机视觉中人脸检测和人脸跟踪的技术作为自动人物识别的依据，设计人物检测、人物跟踪、摄像机自动跟踪拍摄、人物位置运动估算、简单运动估计等算法策略，研究和开发一套完整的自动摄像跟踪系统软件，支持网络远程访问和控制，在无需人为操作和调整的情况下，实现对人物脸部自动跟踪拍摄的功能。这个系统适用于一般需求的安保视频监控和课堂自动摄像的应用。 本系统相对于已有的性能较好的类似系统——红外视频监控系统有许多明显优势，在达到很好的智能化、实时性、响应速度和准确性的同时，实现了设备的简化，大大降低了成本；同时在现场部署时不需要重新配置，后期维护简便；并且能够实现连续位置跟踪；系统稳定性优良等等。