Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation01:26

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

303
Inductively coupled plasma (ICP) is the common plasma source used in atomic emission spectroscopy (AES), a technique that detects and analyzes various elements in a sample. This method is often called inductively coupled plasma atomic emission spectroscopy (ICP-AES).
There are three main types of inductively coupled plasma atomic emission spectroscopy  (ICP-AES) instruments: sequential, simultaneous multichannel, and Fourier transform instruments, with the latter being less commonly used....
303
IR Spectrum01:19

IR Spectrum

1.3K
When infrared (IR) radiation passes through a molecule, the bonds stretch or bend by absorbing the radiation. This absorption creates the molecule's absorption spectrum, which is the plot of its percentage transmittance versus wavenumber.
Transmittance is defined as the ratio of the radiant power passing through a sample to that from the radiation's source. Multiplying the transmittance by 100 gives the percent transmittance (%T), which varies between 100% (no absorption) and 0%...
1.3K
Aliasing01:18

Aliasing

238
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
238
IR Spectrometers01:25

IR Spectrometers

1.5K
There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
1.5K
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

1.2K
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...
1.2K
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

353
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
353

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Highly efficient construction of heterojunction Co<sub>3</sub>O<sub>4</sub>/NiMoO<sub>4</sub> hierarchical arrays with built-in electric field enabling ultrasensitive glucose sensing.

Journal of colloid and interface science·2026
Same author

Light-Dependent Temporal Reprogramming of Alternative Splicing Dynamics Under Salt Stress in Sweet Potato (<i>Ipomoea batatas</i> [L]. Lam).

Plants (Basel, Switzerland)·2026
Same author

Crosstalk between glutathione and melatonin in chromium detoxification in sweet potato revealed by high-throughput sequencing and physio-biochemical profiling.

Frontiers in plant science·2026
Same author

Integrated multi-barrier attenuation of antibiotic resistance genes by self-elevating ultra-high temperature composting: Phase-resolved evidence for within-process risk reduction.

Bioresource technology·2026
Same author

Melatonin Improves Storage Quality of Sweetpotato (<i>Ipomoea batatas</i>) by Inhibiting Sprouting, Weight Loss, and Lignification and Elevating Sweetness.

Plants (Basel, Switzerland)·2026
Same author

Multi-mode piezoelectric radiation-based microantennas and miniaturized wireless sensing unit driven by bulk acoustic waves.

Nature communications·2026

Related Experiment Video

Updated: Sep 18, 2025

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
06:43

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

Published on: May 2, 2018

7.1K

Spectrum Fitting Approach for Passive Wireless SAW Sensor Interrogation Using Software-Defined Radio.

Shihao Wang1, Qi Wang1, Guopeng Zhu1

  • 1Information & Telecommunications Company, State Grid Shandong Electric Power Company, Jinan 250013, China.

Micromachines
|June 27, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a faster, non-iterative method for measuring surface acoustic wave (SAW) sensor frequencies using software-defined radio (SDR). The new approach reduces computational complexity for real-time industrial equipment monitoring.

Keywords:
SAW sensingSAW sensor interrogatorpassive wireless sensingsoftware defined radiospectrum fitting approach

More Related Videos

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements
09:36

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

Published on: June 25, 2021

3.2K
High Speed Sub-GHz Spectrometer for Brillouin Scattering Analysis
13:31

High Speed Sub-GHz Spectrometer for Brillouin Scattering Analysis

Published on: December 22, 2015

15.2K

Related Experiment Videos

Last Updated: Sep 18, 2025

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
06:43

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

Published on: May 2, 2018

7.1K
Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements
09:36

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

Published on: June 25, 2021

3.2K
High Speed Sub-GHz Spectrometer for Brillouin Scattering Analysis
13:31

High Speed Sub-GHz Spectrometer for Brillouin Scattering Analysis

Published on: December 22, 2015

15.2K

Area of Science:

  • Electrical Engineering
  • Sensor Technology
  • Signal Processing

Background:

  • Passive wireless Surface Acoustic Wave (SAW) sensors are crucial for industrial equipment safety monitoring.
  • Software-Defined Radio (SDR) offers a flexible, cost-effective alternative to traditional SAW interrogators.
  • Existing frequency estimation methods for SAW sensors are computationally intensive, hindering real-time applications.

Purpose of the Study:

  • To develop and evaluate a novel non-iterative spectrum-fitting method for SAW frequency measurement.
  • To integrate this method with an SDR platform for enhanced SAW sensing systems.
  • To assess the trade-off between computational efficiency and measurement accuracy.

Main Methods:

  • Implementation of a Surface Acoustic Wave (SAW) sensing system utilizing a Software-Defined Radio (SDR) platform.
  • Development and application of a non-iterative spectrum-fitting algorithm for frequency estimation.
  • Performance evaluation through theoretical analysis, simulations, and experimental measurements with varying window functions and Fast Fourier Transform (FFT) lengths.

Main Results:

  • The proposed non-iterative method significantly reduces computational complexity compared to traditional iterative algorithms.
  • Experimental results demonstrate a favorable balance between time efficiency and SAW frequency measurement accuracy.
  • Achieved a peak-to-peak accuracy of ± 3kHz using a 4096-point FFT length.

Conclusions:

  • The developed non-iterative spectrum-fitting method is a viable and efficient approach for SAW frequency measurement in SDR-based systems.
  • This method enhances the real-time applicability of SAW sensors for industrial monitoring.
  • Offers a practical solution for cost-effective and flexible sensor interrogation.