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Related Concept Videos

Basic Continuous Time Signals01:22

Basic Continuous Time Signals

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Basic continuous-time signals include the unit step function, unit impulse function, and unit ramp function, collectively referred to as singularity functions. Singularity functions are characterized by discontinuities or discontinuous derivatives.
The unit step function, denoted u(t), is zero for negative time values and one for positive time values, exhibiting a discontinuity at t=0. This function often represents abrupt changes, such as the step voltage introduced when turning a car's...
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Basic Discrete Time Signals01:16

Basic Discrete Time Signals

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The unit step sequence is defined as 1 for zero and positive values of the integer n. This sequence can be graphically displayed using a set of eight sample points, showing a step function starting from n=0 and remaining constant thereafter.
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is the...
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Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

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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.
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Range00:59

Range

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The range is one of the measures of variation. It can be defined as the difference between a dataset's highest and lowest values. For example, in the study of seven 16-ounce soda cans, the filled volume of soda was measured, thus producing the following amount (in ounces) of soda:
15.9; 16.1; 15.2; 14.8; 15.8; 15.9; 16.0; 15.5
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Bacterial Signaling01:30

Bacterial Signaling

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Bacterial signaling can occur within bacteria (intracellular) or between bacteria (intercellular). At times, a group of bacteria behaves like a community. To achieve this, they engage in quorum sensing, the perception of higher cell density that causes changes in gene expression. Quorum sensing involves both extracellular and intracellular signaling. The signaling cascade starts with a molecule called an autoinducer (AI). Individual bacteria produce AIs that move out of the bacterial cell...
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What is Cell Signaling?02:03

What is Cell Signaling?

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Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate to respond to the environment.
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Recombination Dynamics in Thin-film Photovoltaic Materials via Time-resolved Microwave Conductivity
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Sequential signal detection for high dynamic range time-resolved laser-induced incandescence.

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    A novel time-resolved laser-induced incandescence (TiRe-LII) method uses gated photomultiplier tubes to enhance signal collection. This technique improves accuracy and dynamic range for soot particle temperature measurements in flames.

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    Area of Science:

    • Combustion science
    • Laser diagnostics
    • Nanoparticle characterization

    Background:

    • Laser-induced incandescence (LII) is a key technique for soot diagnostics.
    • Conventional LII methods face challenges with high dynamic range and signal-to-noise ratios.
    • Accurate temperature measurements are crucial for understanding combustion processes.

    Purpose of the Study:

    • To present a new method for time-resolved laser-induced incandescence (TiRe-LII) signal collection with high dynamic range.
    • To improve the accuracy of two-color pyrometry for soot temperature measurements.
    • To achieve high accuracy over the complete temperature trace and enable single-shot measurements.

    Main Methods:

    • Utilizing gated photomultiplier tubes (PMTs) for temporal detection of LII signals.
    • Implementing a method to enhance two-color pyrometry accuracy at later decay times.
    • Developing advanced strategies for high-accuracy, high-dynamic-range temperature measurements.

    Main Results:

    • The new TiRe-LII method effectively overcomes PMT limitations regarding signal current and noise.
    • Improved accuracy in two-color pyrometry was achieved for later decay times.
    • Validation in a standardized flame demonstrated sensitivity to laser-induced gas temperature increases.

    Conclusions:

    • The presented TiRe-LII method offers a significant advancement for soot diagnostics.
    • The technique provides high dynamic range and improved accuracy for temperature measurements.
    • This method enables detailed investigation of soot-gas interactions in combustion environments.