Continuous Time

Continuous time describes systems whose variables evolve over every instant rather than at separated sampling points, providing a mathematical framework for representing continuously changing physical phenomena. Engineers model these systems with functions of time and differential equations, where rates of change such as velocity, current, or temperature determine future behavior. Continuous-time analysis supports the design and evaluation of dynamic systems, including mechanical structures, electrical circuits, process controls, and feedback loops. It also provides the foundation for understanding stability, transient response, frequency behavior, and the relationship between physical systems and their discrete-time or digital implementations.

Continuous Time - Related Videos

Education

JoVE Core - Electrical Engineering

Basic Continuous Time Signals

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2024

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...

Sampling Continuous Time Signal

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2024

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...

Continuous -time Fourier Transform

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2024

The Fourier series is instrumental in representing periodic functions, offering a powerful method to decompose such functions into a sum of sinusoids. This technique, however, necessitates modification when applied to nonperiodic functions. Consider a pulse-train waveform consisting of a series of rectangular pulses. When these pulses have a finite period, they can be accurately represented by a Fourier series. Yet, as the period approaches infinity, resulting in a single, isolated pulse, the...

BIBO stability of continuous and discrete -time systems

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2024

System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time. To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system.

Research

JoVE Journal - Biology

Autonomously Bioluminescent Mammalian Cells for Continuous and Real-time Monitoring of Cytotoxicity

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Cited by 7 •

2013

Mammalian cells expressing the bacterial bioluminescence gene cassette (lux) produce light autonomously. The resulting bioluminescent dynamics upon chemical exposure have been demonstrated to reflect the treatment effects on cellular growth and metabolism, making these cells an inexpensive, continuous, real-time toxicity screening tool that can easily be adapted for high-throughput automation.

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