Programmable Filters
Programmable Filters - Related Videos
05:30
Making Patch-pipettes and Sharp Electrodes with a Programmable Puller
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Cited by 22 •
2008
This video shows how to use a programmable puller to make patch pipettes and sharp electrodes for electrophysiology. The same procedure can be used to make a variety of glass tools, including injection needles.
01:27
Passive Filters
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2024
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 frequency...
01:25
Active Filters
0 Views •
2025
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: Where Af is the gain at low frequencies also known as the dc gain, s is the...
05:11
High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition
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2025
This study improves electromagnetic flowmeter accuracy by optimizing excitation waveforms, applying multi-stage filtering, and using Complex Programmable Logic Device (CPLD)-based rectification. A novel waveform-based empty pipe detection method enhances reliability. Experiments show 0.1% accuracy within 0.1-15 m/s, validating industrial applicability.
10:28
Using Synthetic Biology to Engineer Living Cells That Interface with Programmable Materials
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Cited by 6 •
2017
This paper presents a series of protocols for developing engineered cells and functionalized surfaces that enable synthetically engineered E. coli to control and manipulate programmable material surfaces.
FAQs
Their response changes when software commands, digital control signals, or adjustable circuit parameters alter the filter coefficients or component settings. Those changes redefine the passband, stopband, cutoff frequency, or bandwidth, so the same filter architecture can emphasize a different frequency range without exchanging the hardware. This mechanism allows one system to adapt to changing signal conditions.
Filter coefficients provide the adjustable values that determine how the system treats different frequency components. Changing them can shift cutoff frequencies, reshape passbands, modify stopband behavior, or alter bandwidth. In a software-controlled implementation, coefficient updates provide a direct route to reconfiguration; in other designs, adjustable circuit settings serve a comparable function. The control path depends on the filter architecture.
These characteristics specify the intended frequency-selective behavior. A passband identifies frequencies allowed through, a stopband identifies frequencies attenuated, cutoff frequencies mark response boundaries, and bandwidth describes the span of the selected range. Configuring these properties lets an engineer match the filter to the signal conditions required for a measurement, communication, audio, or control application.
A fixed filter keeps its frequency-selective behavior tied to its established hardware configuration, whereas a programmable design can revise coefficients or component settings. This adaptability can reduce the need to replace hardware when requirements change, while also supporting calibration and rapid optimization. The underlying architecture remains available, but its operating characteristics can be adjusted for another signal condition or application.
Begin by identifying the frequency behavior required for the signal, including the desired passband, stopband, cutoff frequency, or bandwidth. Then apply the corresponding software command, digital control, or adjustable circuit setting that changes the relevant coefficients or components. Reconfigure those settings when signal conditions or application requirements change. This workflow preserves the filter architecture while adapting its operating response.
Their adaptability suits measurement instruments that must accommodate changing signal conditions, communication systems that may require different frequency selections, audio equipment with variable processing needs, and control devices that must adjust signal handling. They can also simplify calibration and optimization because engineers can modify operating characteristics without replacing the underlying filter hardware. These uses connect reconfigurable signal processing with practical engineering constraints.