short-time Fourier transform
PulseAugur coverage of short-time Fourier transform — every cluster mentioning short-time Fourier transform across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
-
New research explores advanced training methods for Spiking Neural Networks
Two recent arXiv papers explore advanced techniques for training spiking neural networks (SNNs). The first paper introduces a general framework for incorporating delays into SNNs using additional state variables, enhanc…
-
New hybrid deep learning model enhances RF modulation recognition
Researchers have developed a novel uncertainty-driven hybrid deep learning architecture for radio frequency (RF) modulation recognition. This system combines spectral information from FFT preprocessing with time-frequen…
-
Qualcomm SoC: Measuring STFT Compute Paths for Audio AI
This article explores five different methods for computing the Short-Time Fourier Transform (STFT) on a Qualcomm System on a Chip (SoC), specifically the Snapdragon SM8650. It details implementations using the CPU, a de…
-
New method detects neural network failures via internal spectral analysis
Researchers have identified a phenomenon called Spectral Drift, where neural network misclassifications exhibit characteristic instability in internal activations that is not apparent in the output layer. This spectral …
-
New framework reconstructs low-quality PPG signals for accurate SpO2 estimation
Researchers have developed a novel framework for reconstructing low-quality dual-wavelength photoplethysmography (PPG) signals, crucial for continuous oxygen saturation (SpO2) estimation in wearable health monitoring. T…
-
YOLO models enhance bearing fault detection using CWT spectrograms
Researchers have developed a new vibration sensing framework for bearing fault monitoring that utilizes continuous wavelet transform (CWT) spectrograms and object detection models like YOLOv9, YOLOv10, and YOLOv11. This…
-
New method fuses 2D/1D signals for robust underwater acoustic modulation recognition
Researchers have developed a novel method for recognizing underwater acoustic modulations, particularly addressing challenges posed by distribution shifts. Their approach, SCP-TriCA, fuses heterogeneous 2D and 1D signal…
-
PhaseNet++ uses phase data for advanced industrial control system anomaly detection
Researchers have developed PhaseNet++, a novel approach for detecting anomalies in industrial control systems (ICS) by leveraging phase information from time-frequency transformations. Unlike previous methods that focus…