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Bandpass Sampling01:17

Bandpass Sampling

224
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....
224
Active Filters01:25

Active Filters

883
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:
883
Modes of Standing Waves - I01:03

Modes of Standing Waves - I

3.0K
A close look at earthquakes provides evidence for the conditions appropriate for resonance, standing waves, and constructive and destructive interference. A building may vibrate for several seconds with a driving frequency matching the building's natural frequency of vibration; this produces a resonance that results in one building collapsing while the neighboring buildings do not. Often, buildings of a certain height are devastated, while other taller buildings remain intact. This...
3.0K
Modes of Standing Waves: II01:04

Modes of Standing Waves: II

887
The starting point for expressing the modes of standing waves is understanding the boundary conditions that the waves must follow. The boundary conditions are derived from the physical understanding of how the standing waves are sustained, that is, how the vibrating particles of the medium behave at the boundaries imposed on them.
For a tube open at one end and closed at the other filled with air, the modes are such that there is always an antinode at the open end and a node at the closed end....
887
Passive Filters01:27

Passive Filters

570
Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff...
570
Parallel Resonance01:23

Parallel Resonance

246
The parallel RLC circuit is an arrangement where the resistor (R), inductor (L), and capacitor (C) are all connected to the same nodes and, as a result, share the same voltage across them. The parallel RLC circuit is analyzed in terms of admittance (Y), which reflects the ease with which current can flow. The admittance is given by:
246

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Related Experiment Video

Updated: Aug 7, 2025

Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters
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Self-Excited Microcantilever with Higher Mode Using Band-Pass Filter.

Yuji Hyodo1, Hiroshi Yabuno1

  • 1Degrees Programs in Systems and Information Engineering, Graduate School of Science and Technology, University of Tsukuba, Tsukuba 305-8573, Ibaraki, Japan.

Sensors (Basel, Switzerland)
|March 11, 2023
PubMed
Summary

This study introduces a novel method for generating self-excited oscillations in microresonators at higher natural frequencies without reducing their size. This technique enhances sensor sensitivity and response speed for various applications.

Keywords:
MEMShigher modemicrocantileverself-excited oscillation

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Area of Science:

  • Physics
  • Materials Science
  • Engineering

Background:

  • Microresonators are crucial in scientific and industrial applications.
  • Frequency shift measurement methods are used for mass, viscosity, and stiffness detection.
  • Higher natural frequencies enhance sensor sensitivity and response.

Purpose of the Study:

  • To propose a method for achieving higher natural frequencies in microresonators without downsizing.
  • To enable self-excited oscillations at higher modes for improved sensor performance.
  • To eliminate the need for precise sensor positioning in feedback control.

Main Methods:

  • Utilizing resonance of a higher mode for self-excited oscillation.
  • Implementing a band-pass filter to isolate the desired excitation mode frequency.
  • Theoretical analysis of resonator dynamics coupled with a band-pass filter.
  • Experimental validation using a microcantilever apparatus.

Main Results:

  • Successfully produced self-excited oscillation at a higher natural frequency.
  • Demonstrated that the second mode is responsible for the self-excited oscillation.
  • Confirmed the method's validity experimentally.
  • Eliminated the requirement for critical sensor positioning.

Conclusions:

  • The proposed method effectively generates self-excited oscillations at higher natural frequencies.
  • This approach offers enhanced sensitivity and frequency response in microresonator-based sensors.
  • The technique simplifies sensor design by removing the need for precise positioning.