Tag: Signal Processing

Mathematicians have generalized the extended Kalman filter to work on Stiefel manifolds, curved spaces of orthonormal vectors that appear in ...

A hybrid wavelet-Fourier analysis in the FTIO tool pinpoints when periodic I/O phases are actually valid, cutting prediction error and ...

Researchers embedded MEMS accelerometers in asphalt pavement and used CEEMDAN signal reconstruction with wavelet energy analysis to estimate truck speed ...

A hybrid CNN-BiLSTM model with multi-head self-attention classifies five EEG brain states, including seizures, with 98.83 percent accuracy on a ...

Chinese researchers have built a tiny 58,529-parameter neural network that picks the first arrivals of coal mine microseismic signals roughly ...

A hybrid graph neural network and deep unrolling architecture achieves 98 percent success in super-resolution direction-of-arrival estimation while remaining robust ...

A new mathematical framework defines wavelet transforms that respect strict temporal causality, enabling real-time multi-scale signal analysis with provably self-similar, ...

Researchers have built a transformer that treats missing Wi-Fi signals as informative data, achieving the lowest errors among reproduced baselines ...

Researchers in New Delhi have built a wireless force myography armband that classifies twenty hand gestures with over 96 percent ...

Researchers combined reconstructed phase space representations, a 3D convolutional neural network, and gray wolf optimizer tuning to achieve state-of-the-art cross-corpus ...