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相关概念视频

Discrete-time Fourier transform01:26

Discrete-time Fourier transform

The Discrete-Time Fourier Transform (DTFT) is an essential mathematical tool for analyzing discrete-time signals, converting them from the time domain to the frequency domain. This transformation allows for examining the frequency components of discrete signals, providing insights into their spectral characteristics. In the DTFT, the continuous integral used in the continuous-time Fourier transform is replaced by a summation to accommodate the discrete nature of the signal.
One of the notable...
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next sampling...
Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over short distances...

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相关实验视频

Updated: Jun 16, 2026

A TIRF Microscopy Technique for Real-time, Simultaneous Imaging of the TCR and its Associated Signaling Proteins
16:10

A TIRF Microscopy Technique for Real-time, Simultaneous Imaging of the TCR and its Associated Signaling Proteins

Published on: March 22, 2012

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面积高效的混合信号时间到数字转换器集成用于时间分辨率光子计数.

Sergio Moreno1, Victor Moro1, Joan Canals1

  • 1Department of Electronic and Biomedical Engineering, Faculty of Physics, University of Barcelona, 08028 Barcelona, Spain.

Sensors (Basel, Switzerland)
|September 14, 2024
PubMed
概括
此摘要是机器生成的。

这项研究介绍了一种紧的混合信号时间到数字转换器 (TDC),使用单光子雪崩二极管 (SPAD) 传感器的模拟存储. 面积高效的设计增强了对时间分辨率测量的直方图生成.

关键词:
这是一个CMOS系统.基因组图 基因组图 基因组图混合信号的混合信号.量子点 (QD) 是一个量子点.一个光子雪崩二极管 (SPAD)时间分辨率的光.时间到数字转换器 (TDC)

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相关实验视频

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A TIRF Microscopy Technique for Real-time, Simultaneous Imaging of the TCR and its Associated Signaling Proteins
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科学领域:

  • 光子学和半导体设备 半导体设备
  • 集成电路设计 集成电路设计
  • 生物医学工程 生物医学工程

背景情况:

  • 使用单光子雪崩二极管 (SPAD) 传感器进行时间分辨率测量会产生大量时间信号,因此需要高效的直方图生成.
  • 传统的数字直方图生成方法需要大量的存储,限制了大型SPAD阵列中的集成.

研究的目的:

  • 开发一个面积高效的混合信号时间数字转换器 (TDC) 与模拟存储用于基于SPAD的时间分辨率测量.
  • 为了减少TDC的物理足迹,以便无地集成到大型SPAD传感器阵列中.

主要方法:

  • 设计和制造了一种使用模拟存储技术的混合信号TDC.
  • 使用150纳米CMOS工艺集成TDC,实现了18.3μm × 36.5μm的原型面积.
  • 验证了TDC在照顾点 (PoC) 设备中的性能,用于光寿命测量.

主要成果:

  • 与传统设计相比,实现了一个非常紧的TDC原型,尺寸缩小.
  • 证明了优异的线性,整数非线性 (INL) 为 0.35/0.14 LSB,微分非线性 (DNL) 为 0.14/-0.12 LSB.
  • 成功区分了Alexa Fluor染料和量子点的光寿命,验证了其在光寿命测量中的应用.

结论:

  • 拟议的模拟存储TDC为基于SPAD的系统提供了一个新的,面积高效的解决方案.
  • 这项技术使得高性能直方图生成用于时间解析测量,在医学诊断中具有潜在的应用.
  • 紧的设计促进了集成到大型的SPAD阵列,推进了时间分辨率传感能力.