Web10 apr. 2024 · DToF technique uses pulse detection methods, such as the leading edge, peak detection, center of gravity, inflection discriminator, and constant fraction, to … A constant fraction discriminator (CFD) is an electronic signal processing device, designed to mimic the mathematical operation of finding a maximum of a pulse by finding the zero of its slope. Some signals do not have a sharp maximum, but short rise times $${\displaystyle t_{r}}$$ Meer weergeven A time-to-digital converter assigns timestamps. The time-to-digital converter needs fast rising edges with normed height. The plastic scintillation counter delivers fast rising edge with varying heights. … Meer weergeven The incoming signal is split into three components. One component is delayed by a time $${\displaystyle t_{d}}$$, with Therefore … Meer weergeven If the discriminator triggers a sampler with a following comparator this is called a single channel analyzer (SCA). If an Analog-to-digital converter is used, this is called a … Meer weergeven

Unbiased TOF estimation using leading-edge discriminator and ...

WebAbstract: One of the main factors limiting the precision of timing measurements with silicon photomultipliers coupled to scintillators is the dark noise, especially in the case of large devices. In order to cope with it, a suitable signal processing should be employed. The method we propose is called differential leading edge discriminator (DLED) and allows … WebThe model 7106 is a high-performance, 16 channel leading edge discriminator packaged in a single width CAMAC module. The most commonly asked for features have been … tiva growth

Research on the ranging statistical distribution of laser radar with a ...

WebThe Mod. V895 is a 1-unit wide VME module housing a 16 channel leading edge discriminator. The module accepts 16 negative (positive on request) inputs and … WebThe leading edge discriminator responds when the pulse exceeds an adjustable threshold. The output pulse of the leading edge discriminator is used to enable the … Web26 jul. 2024 · Convolutional neural networks have greatly improved the performance of image super-resolution. However, perceptual networks have problems such as blurred line structures and a lack of high-frequency information when reconstructing image textures. To mitigate these issues, a generative adversarial network based on multiscale … tiva for anesthesia