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Related Concept Videos

Transfer Function in Control Systems01:21

Transfer Function in Control Systems

The transfer function is a fundamental concept in the analysis and design of linear time-invariant (LTI) systems. It offers a concise way to understand how a system responds to different inputs in the frequency domain. It serves as a bridge between the time-domain differential equations that describe system dynamics and the frequency-domain representation that facilitates easier manipulation and analysis.
To derive the transfer function, consider a general nth-order linear time-invariant...
Network Function of a Circuit01:25

Network Function of a Circuit

Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
Convolution: Math, Graphics, and Discrete Signals01:24

Convolution: Math, Graphics, and Discrete Signals

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...
Frequency Response of a Circuit01:20

Frequency Response of a Circuit

Inductive circuits present intriguing challenges in electrical engineering, particularly during the transition from the time domain to the frequency domain. This transformation involves converting inductors into impedances and utilizing phasor representation.
The transfer function is pivotal in characterizing how these circuits react to various frequencies, facilitating a profound understanding of their behavior. An essential parameter is the time constant, signifying the...
Debye–Huckel–Onsager Conductance Equation01:28

Debye–Huckel–Onsager Conductance Equation

The Debye-Hückel-Onsager equation is a cornerstone of physical chemistry, providing a method to determine the molar conductance (Λm) and molar conductance at infinite dilution (Λ°m) for uni-univalent electrolytes.Uni-univalent electrolytes are electrolytes that dissociate in solution to produce one cation with a +1 charge and one anion with a –1 charge per formula unit.This equation addresses two crucial phenomena: the asymmetry effect and the electrophoretic effect. According to this equation,...
Electrical Systems01:21

Electrical Systems

In electrical engineering, the analysis of networks composed of passive linear components — resistors (R), capacitors (C), and inductors (L) — is fundamental. These components are organized into circuits where the relationship between input and output can be analyzed using transfer functions. The transfer function of an RLC circuit, which relates the voltage across a capacitor to the input voltage, can be derived using Kirchhoff's laws.
To derive the transfer function, consider an RLC circuit...

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Related Experiment Video

Updated: Jul 7, 2026

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
08:39

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Published on: January 28, 2019

Deriving the Coltman Correction for Transforming the Bar Transfer Function to the Optical Transfer Function (or the

R L Lucke

    Applied Optics
    |February 28, 2008
    PubMed
    Summary

    The Coltman series was mathematically derived to calculate optical transfer function from bar transfer function measurements. This method is valid even with phase reversal in images.

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    Area of Science:

    • Optics
    • Image Science
    • Metrology

    Background:

    • Accurate measurement of the optical transfer function (OTF) is crucial for characterizing imaging systems.
    • Existing methods may face limitations when dealing with phase reversal in image data.

    Purpose of the Study:

    • To mathematically derive the Coltman series for OTF calculation.
    • To define the bar transfer function (BTF) in a way that accommodates phase reversal.

    Main Methods:

    • Mathematical derivation of the Coltman series.
    • Definition of the bar transfer function (BTF) as the primary measurement basis.

    Main Results:

    • Successful mathematical derivation of the Coltman series.
    • Establishment of a valid relation between BTF and OTF, even with phase reversal.

    Conclusions:

    • The derived Coltman series provides a robust method for OTF determination.
    • The BTF-based approach enhances the applicability of OTF measurements in diverse imaging scenarios.