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Related Concept Videos

Bandpass Sampling01:17

Bandpass Sampling

198
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....
198
Linear time-invariant Systems01:23

Linear time-invariant Systems

277
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...
277
Load-frequency control01:28

Load-frequency control

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Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
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Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

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Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
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Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

229
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
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Active Filters01:25

Active Filters

848
Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:
848

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Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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Wideband Interference Cancellation System Based on a Fast and Robust LMS Algorithm.

Qiaran Lu1, Huanding Qin1, Fangmin He1

  • 1National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China.

Sensors (Basel, Switzerland)
|September 28, 2023
PubMed
Summary
This summary is machine-generated.

A new algorithm improves digital-to-analog hybrid radio frequency interference cancellation systems. The improved hyperbolic least-mean-square (IHVSS-LMS) algorithm enhances convergence speed and interference cancellation ratio (ICR) performance.

Keywords:
convergence speedinterference cancellationinterference cancellation ratio (ICR)stabilitysteady-state errorvariable step size

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Area of Science:

  • Digital Signal Processing
  • Radio Frequency Engineering

Background:

  • Interference cancellation ratio (ICR) is crucial for digital-to-analog hybrid radio frequency (RF) systems.
  • Existing multi-tap digital-to-analog hybrid RF interference cancellation systems (MDARFICS) suffer from slow convergence speeds.

Purpose of the Study:

  • To propose a novel, fast, and robust variable-step-size least-mean-square (LMS) algorithm for MDARFICS.
  • To improve the convergence speed and interference cancellation performance of MDARFICS.

Main Methods:

  • Developed an improved hyperbolic tangent function (IHVSS-LMS) algorithm.
  • Adjusted step size using adjustable parameters and iteration number.
  • Incorporated prior input signal information to establish a non-linear relationship for step size adjustment.

Main Results:

  • The IHVSS-LMS algorithm demonstrated superior convergence speed and robustness compared to existing algorithms under varying signal-to-noise ratio (SNR) conditions.
  • Simulations and experiments confirmed that MDARFICS with IHVSS-LMS converges at least three times faster.
  • Experimental results showed an improvement in ICR by over 3 dB.

Conclusions:

  • The IHVSS-LMS algorithm significantly enhances the performance of MDARFICS.
  • This algorithm offers a faster and more robust solution for RF interference cancellation.