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Related Concept Videos

Sampling Theorem01:15

Sampling Theorem

In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
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...
Bandpass Sampling01:17

Bandpass Sampling

In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2. The spectrum...
Aliasing01:18

Aliasing

Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...

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An Introduction to Processing, Fitting, and Interpreting Transient Absorption Data
08:12

An Introduction to Processing, Fitting, and Interpreting Transient Absorption Data

Published on: February 16, 2024

Optical sampling transient analyzer system.

T J Davies, M A Nelson

    Applied Optics
    |February 19, 2010
    PubMed
    Summary
    This summary is machine-generated.

    A new 1-GHz optoelectronic sampling transient analyzer system was developed to diagnose fast, high-voltage electrical pulses. This system offers a 10^3 dynamic range for detailed signal analysis.

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    Area of Science:

    • Electrical Engineering
    • Optoelectronics
    • Transient Analysis

    Background:

    • Characterizing fast, high-voltage transient electrical pulses is crucial for many scientific and engineering applications.
    • Existing methods may lack the necessary speed, dynamic range, or precision for analyzing complex transient signals.

    Purpose of the Study:

    • To develop and test a novel 1-GHz optoelectronic sampling transient analyzer system.
    • To enable accurate diagnosis of the time-amplitude characteristics of fast, high-voltage, single transient electrical pulses.
    • To provide a flexible sampling rate adaptable to specific signal analysis needs.

    Main Methods:

    • The system utilizes a 350-picosecond (full width at half maximum) laser as a key component.
    • A traveling-wave Kerr cell is employed for optical gating.
    • A semiconductor detector array coupled with charge collection circuitry captures the signal.
    • An analog-to-digital converter with digital data memory digitizes and stores the acquired data.

    Main Results:

    • The developed system successfully operates at 1 GHz with a dynamic range of 10^3.
    • The system demonstrated capability in diagnosing the time-amplitude characteristics of fast, high-voltage transient electrical pulses.
    • The sampling rate was confirmed to be tailorable for individual signal analysis requirements.

    Conclusions:

    • The 1-GHz optoelectronic sampling transient analyzer system provides a powerful tool for characterizing transient electrical pulses.
    • The system's design offers flexibility and high performance for demanding signal analysis tasks.
    • This development advances the field of transient analysis in high-voltage applications.