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Discrete Fourier Transform01:15

Discrete Fourier Transform

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The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
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Discrete-Time Fourier Series01:20

Discrete-Time Fourier Series

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The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
For a discrete-time periodic signal x[n]...
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Instrumentation Amplifier01:25

Instrumentation Amplifier

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An electrocardiography (ECG) machine is an essential piece of medical equipment used to monitor the electrical activity of the heart. It operates by detecting small electrical changes on the skin that result from the depolarization of the heart muscle during each heartbeat. However, these signals are in the microvolt range and can be easily overwhelmed by noise or interference.
To overcome this challenge, an ECG machine utilizes an instrumentation amplifier. This specialized amplifier is...
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Bandpass Sampling01:17

Bandpass Sampling

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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....
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Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

441
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...
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IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

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Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
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Related Experiment Video

Updated: Oct 30, 2025

High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition
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High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition

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A Two-Channel DFT Spectrum Analyzer for Fluctuation Enhanced Sensing Based on a PC Audio Board.

Emanuele Cardillo1, Graziella Scandurra1, Gino Giusi1

  • 1Department of Engineering, University of Messina, 98100 Messina, Italy.

Sensors (Basel, Switzerland)
|July 2, 2021
PubMed
Summary

This study presents a low-cost, portable dual-channel spectrum analyzer using a USB sound card for Fluctuation Enhanced Sensing. It enables low-frequency noise measurements down to DC by upconverting signals, making advanced sensing accessible.

Keywords:
low-frequency noise measurementssignals elaborationsound boardsspectrum analyzer

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Area of Science:

  • Instrumentation and Measurement
  • Signal Processing
  • Applied Physics

Background:

  • Fluctuation Enhanced Sensing requires low-frequency noise measurements.
  • Portable measurement systems are highly desirable.
  • Standard spectrum analyzers often lack DC capability or portability.

Purpose of the Study:

  • To propose a dual-channel spectrum analyzer capable of low-frequency measurements down to DC.
  • To achieve portability and low cost using readily available hardware.
  • To enable Fluctuation Enhanced Sensing applications with enhanced accessibility.

Main Methods:

  • Utilizing a USB sound card for data acquisition.
  • Employing a simple modulation board to upconvert low-frequency signals (down to DC) to higher frequencies within the sound card's range.
  • Numerical reconstruction of the full spectrum using efficient software based on a public domain library.

Main Results:

  • Demonstration of a dual-channel spectrum analyzer with DC frequency response.
  • System construction on a low-cost single-board computer (Raspberry PI3).
  • Achieved portability and isolation from electromagnetic interference via an optical TCP/IP link.

Conclusions:

  • The proposed method provides a cost-effective and portable solution for low-frequency spectrum analysis.
  • This approach significantly enhances the accessibility of Fluctuation Enhanced Sensing.
  • The system offers a compact and robust spectrum analyzer suitable for various applications.