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ENTITY short-time Fourier transform

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.

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RECENT · PAGE 1/1 · 12 TOTAL
  1. TOOL · CL_284354 ·

    New audit reveals AdvWave-P audio jailbreak effectiveness on Qwen2-Audio

    Researchers have audited the effectiveness of AdvWave-P, an audio jailbreaking technique, on the Qwen2-Audio model. The study employed a controlled frequency-depth audit, analyzing the impact of masking specific frequen…

  2. TOOL · CL_280233 ·

    Vocal ensemble pitch estimation: STFT outperforms HCQT with lower cost

    A new research paper explores input representations for multi-pitch estimation in vocal ensembles, a task complicated by overlapping vocal ranges and fundamental frequencies. The study compares the harmonic constant-Q t…

  3. TOOL · CL_254171 ·

    Transformer framework detects schizophrenia from EEG signals

    Researchers have developed a new framework using Transformer models to detect schizophrenia from electroencephalography (EEG) signals. This approach converts EEG data into spectrogram images, which are then analyzed by …

  4. TOOL · CL_223121 ·

    New forensic method uses AI sound decay to detect generated audio

    Researchers have developed a new method to distinguish AI-generated impulsive sounds from real ones by analyzing group delay in the decay region. While onset-region group delays are similar, the decay region shows disti…

  5. RESEARCH · CL_193081 ·

    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…

  6. TOOL · CL_180749 ·

    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…

  7. TOOL · CL_173504 ·

    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…

  8. TOOL · CL_160869 ·

    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 …

  9. TOOL · CL_135333 ·

    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…

  10. TOOL · CL_121510 ·

    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…

  11. TOOL · CL_107967 ·

    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…

  12. TOOL · CL_16007 ·

    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…