Design of optical system of photoelectric detection sensor and flare signal processing with array lens

2021 ◽  
Author(s):  
Xuewei Zhang ◽  
Hanshan Li
Keyword(s):  
Signal Processing ◽  
Optical System ◽  
Photoelectric Detection

Signal Processing Circuit Design and Application for Infrared Optical System Based on FPGA

2013 ◽  
Vol 347-350 ◽  
pp. 1328-1332
Author(s):  
Xiao Dong Cai ◽  
Zhi Gang Liu
Keyword(s):  
Signal Processing ◽  
Circuit Design ◽  
Optical System ◽  
Signal To Noise Ratio ◽  
Cutoff Frequency ◽  
In Series ◽  
Programmable Gain Amplifier ◽  
Signal Processing Circuit ◽  
Programmable Gain ◽  
Processing Circuit

The signal processing circuit based on FPGA was proposed in the paper, carrying out the function such as programmable signal amplification, adaptive filtering and so on. Among them, the programmable amplifier module was achieved with the programmable gain amplifier in series; Adaptive filter module was implemented with the Butterworth second-order active filter, to change the cutoff frequency of the filter by changing the potentiometer resistance. Experimental results show that the signal processing circuit was applied in the infrared optical system improving the signal to noise ratio of the image effectively.

Distributed Power Combining and Signal Processing in a 2D Quasi-Optical System

1997 ◽  
pp. 75-82
Author(s):  
James F. Harvey ◽  
Michael B. Steer ◽  
Huan-Sheng Hwang ◽  
Todd. W. Nuteson ◽  
Chris W. Hicks ◽  
...  
Keyword(s):  
Signal Processing ◽  
Optical System ◽  
Power Combining ◽  
Distributed Power

scholarly journals OPTOELECTRONIC DEVICE FOR MEASURING THE POWER OF LASER RADIATION

2021 ◽  
Vol 3 ◽  
pp. 286-290
Author(s):  
Dimcho Pulov ◽  
Tsanko Karadzhov
Keyword(s):  
Signal Processing ◽  
Laser Radiation ◽  
Optical System ◽  
Radiation Source ◽  
Optical Radiation ◽  
Optoelectronic Device ◽  
Processing Unit ◽  
Electronic Signal Processing ◽  
Electronic Signal ◽  
Signal Processing Unit

A device for measuring the power of the laser radiation.has been designed. The device consists of transmitter and receiving part. The transmitter includes optical radiation source and optical system for collimation of radiation. The receiver part consists of silicon photodiodes, electronic signal processing unit   and  unit for measurements. 

Dual-band optical system for IR multicolor signal processing

1991 ◽  
Author(s):  
Paulette R. Kimball ◽  
James C. Fraser ◽  
Jeffrey P. Johnson, Sr. ◽  
Andrew M. Siegel
Keyword(s):  
Signal Processing ◽  
Optical System ◽  
Dual Band

A Field Emission System For Transmission Electron Microscopy

1973 ◽  
Vol 31 ◽  
pp. 298-299
Author(s):  
Michel Troyonal ◽  
Huei Pei Kuoal ◽  
Benjamin M. Siegelal
Keyword(s):  
Electron Microscope ◽  
Field Emission ◽  
Optical System ◽  
High Vacuum ◽  
Ultra High Vacuum ◽  
Objective Lens ◽  
Electron Optical System ◽  
Cross Sectional ◽  
Transmission Electron ◽  
Emission System

A field emission system for our experimental ultra high vacuum electron microscope has been designed, constructed and tested. The electron optical system is based on the prototype whose performance has already been reported. A cross-sectional schematic illustrating the field emission source, preaccelerator lens and accelerator is given in Fig. 1. This field emission system is designed to be used with an electron microscope operated at 100-150kV in the conventional transmission mode. The electron optical system used to control the imaging of the field emission beam on the specimen consists of a weak condenser lens and the pre-field of a strong objective lens. The pre-accelerator lens is an einzel lens and is operated together with the accelerator in the constant angular magnification mode (CAM).

Information and estimation in image processing

1987 ◽  
Vol 45 ◽  
pp. 14-17
Author(s):  
B. Roy Frieden
Keyword(s):  
Image Processing ◽  
Optical System ◽  
Large Amplitude ◽  
Communication Theory ◽  
Image Data ◽  
Direct Approach ◽  
Ill Posed

Despite the skill and determination of electro-optical system designers, the images acquired using their best designs often suffer from blur and noise. The aim of an “image enhancer” such as myself is to improve these poor images, usually by digital means, such that they better resemble the true, “optical object,” input to the system. This problem is notoriously “ill-posed,” i.e. any direct approach at inversion of the image data suffers strongly from the presence of even a small amount of noise in the data. In fact, the fluctuations engendered in neighboring output values tend to be strongly negative-correlated, so that the output spatially oscillates up and down, with large amplitude, about the true object. What can be done about this situation? As we shall see, various concepts taken from statistical communication theory have proven to be of real use in attacking this problem. We offer below a brief summary of these concepts.

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