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Related Concept Videos

Linear time-invariant Systems01:23

Linear time-invariant Systems

262
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
262
Convolution: Math, Graphics, and Discrete Signals01:24

Convolution: Math, Graphics, and Discrete Signals

264
In any LTI (Linear Time-Invariant) system, the convolution of two signals is denoted using a convolution operator, assuming all initial conditions are zero. The convolution integral can be divided into two parts: the zero-input or natural response and the zero-state or forced response, with t0 indicating the initial time.
To simplify the convolution integral, it is assumed that both the input signal and impulse response are zero for negative time values. The graphical convolution process...
264
Convolution Properties I01:20

Convolution Properties I

153
Convolution computations can be simplified by utilizing their inherent properties.
The commutative property reveals that the input and the impulse response of an LTI (Linear Time-Invariant) system can be interchanged without affecting the output:
153
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

83
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
83
Properties of DTFT I01:24

Properties of DTFT I

413
In signal processing, Discrete-Time Fourier Transforms (DTFTs) play a critical role in analyzing discrete-time signals in the frequency domain. Various properties of the DTFTs such as linearity, time-shifting, frequency-shifting, time reversal, conjugation, and time scaling help understand and manipulate these signals for different applications.
The linearity property of DTFTs is fundamental. If two discrete-time signals are multiplied by constants a and b respectively, and then combined to...
413
Bewley Lattice Diagram01:12

Bewley Lattice Diagram

670
The Bewley lattice diagram, developed by L. V. Bewley, effectively organizes the reflections occurring during transmission-line transients. It visually represents how voltage waves propagate and reflect within a transmission line, making it easier to understand the complex interactions that occur.
670

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Related Experiment Video

Updated: Jul 9, 2025

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
00:07

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An image encryption algorithm based on the double time-delay Lorenz system.

Yuzhen Zhou1, Erxi Zhu1,2, Shan Li3

  • 1College of Internet of Things Engineering, Jiangsu Vocational College of Information Technology, No.1 qianou Road, Huishan District, Jiangsu Wuxi, 214153, China.

Mathematical Biosciences and Engineering : MBE
|December 5, 2023
PubMed
Summary

This study introduces a novel image encryption algorithm using double time-delay chaos, enhancing security and efficiency over traditional methods. The algorithm offers robust protection against various attacks and ensures distortion-free image encryption and decryption.

Failed At:

2026-06-19T13:40:31.274389+00:00

Keywords:
Hopf bifurcationchaotic encryptiondouble time-delay Lorenz systemimage encryption

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