An Interactive Guide To The Fourier Transform โ€“ BetterExplained

NEW at #PIMRC2025!
๐Ÿ“ก We're mastering Near-Field complexity in ELAA systems.
Introducing VR-HMM-P-SOMP: a novel algorithm using HMMs to tackle spatial non-stationarity (SnS). The result? Significantly improved estimation accuracy (NMSE) in low-SNR scenarios for future #6G networks! ๐Ÿš€

๐Ÿ”— https://zenodo.org/records/17631563

#MultiX #ChannelEstimation #WirelessNetworks #SignalProcessing

this is an excellent master's thesis on transfer function estimation from noisy data

https://dspace.mit.edu/bitstream/handle/1721.1/50472/42218062-MIT.pdf;sequence=2

#signalprocessing

i love these classic signal processing papers!

`A stand-alone noise suppression algorithm is presented for reducing the spectral effects of acoustically added noise in speech. Effective performance of digital speech processors operating in practical environments may require suppression of noise from the digital wave-form. Spectral subtraction offers a computationally efficient, processor-independent approach to effective digital speech analysis. `

https://ieeexplore.ieee.org/abstract/document/1163209

#signalProcessing

https://www.continuummechanics.org/fourierxforms.html : The FFT is fundamentally a multivariable linear regression, not just a signal analyzer. ๐Ÿคฏ Don't trust magnitude plots alone! Seeing a frequency spike doesn't prove the object was vibrating there. Engineers must consider phase lags to avoid erroneous conclusions in system analysis. #FFT #SignalProcessing
Fourier Transforms

Fourier Transform

Fourier Transforms

Fourier Transform

New publication Plaquette on our open source object oriented framework for embedded interaction design and experimentation https://joss.theoj.org/papers/10.21105/joss.09144 #interactivemedia #physicalcomputing #signalprocessing #arduino #plaquette see: http://plaquette.org
Plaquette: An Object-Oriented Framework for Embedded Signal Processing in Interactive Media

Audry et al., (2025). Plaquette: An Object-Oriented Framework for Embedded Signal Processing in Interactive Media. Journal of Open Source Software, 10(115), 9144, https://doi.org/10.21105/joss.09144

Journal of Open Source Software
๐Ÿ”‰ใ€ฐ๏ธFrom Euclid to Spotify, he traces the history and foundations of #signalprocessing, ending with its omnipresence in our daily lives.
I'm excited to present at the DSP Online Conference next week! Looking forward to the Q&A section, hearing everyone's talks, and meeting more DSP nerds! #DSP #signalprocessing #tides #math #physics

๐Ÿ’ซ Fast frequency reconstruction using Deep Learning for event recognition in ring laser data

https://arxiv.org/abs/2510.03325

#laser #optics #navigation #gyroscope #signals #signalprocessing #ml #deeplearning

Fast frequency reconstruction using Deep Learning for event recognition in ring laser data

The reconstruction of a frequency with minimal delay from a sinusoidal signal is a common task in several fields; for example Ring Laser Gyroscopes, since their output signal is a beat frequency. While conventional methods require several seconds of data, we present a neural network approach capable of reconstructing frequencies of several hundred Hertz within approximately 10 milliseconds. This enables rapid trigger generation. The method outperforms standard Fourier-based techniques, improving frequency estimation precision by a factor of 2 in the operational range of GINGERINO, our Ring Laser Gyroscope.\\ In addition to fast frequency estimation, we introduce an automated classification framework to identify physical disturbances in the signal, such as laser instabilities and seismic events, achieving accuracy rates between 99\% and 100\% on independent test datasets for the seismic class. These results mark a step forward in integrating artificial intelligence into signal analysis for geophysical applications.

arXiv.org