Title :
Stochastic model of image signals for charged particle detector
Author :
Yamada, Mitsuru ; Nishihara, Akinori
Author_Institution :
Graduate Sch. of Sci. & Eng., Tokyo Inst. of Technol., Japan
Abstract :
The Poisson Impulse Accumulation Process model is proposed, which describes sampled image signals detected by charged particle beam equipment with a stochastic process. Image signals can be modeled simply by accumulation of pulses in a sampling period. The pulses are generated from the random numbers which obey the Poisson distribution. Statistical analysis confirms that images generated by the model behave well like actually detected signals.
Keywords :
Poisson distribution; image sampling; particle detectors; photomultipliers; statistical analysis; stochastic processes; Poisson distribution; Poisson impulse accumulation process model; charged particle beam equipment; charged particle detector; digital sampling; photomultiplier tube detectors; sampled image signals; statistical analysis; stochastic model; Image sampling; Particle beams; Pulse generation; Radiation detectors; Random number generation; Signal detection; Signal processing; Signal sampling; Statistical analysis; Stochastic processes;
Conference_Titel :
Circuits and Systems, 2002. APCCAS '02. 2002 Asia-Pacific Conference on
Print_ISBN :
0-7803-7690-0
DOI :
10.1109/APCCAS.2002.1115150
