Waveform and latency estimation from neuroelectric signals using the bispectrum
Related Experiment Video
Updated: Aug 11, 2026

Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks
Published on: December 2, 2015
1Biomedical Engineering Unit, Tokai University School of Medicine, Japan.
Abstract:
A technique based on bispectra and cross-bispectra is described for estimating waveform and latency from a set of noisy signals with variable latency. Waveform estimation is performed by averaging bispectra of observed noisy signals. Latency estimation is performed by using the product function of a function derived from the cross-bispectrum and the cross-correlation. The method is numerically assessed by simulations, using a signal with uniformly distributed latency and computer-generated noise sequences.
More Related Videos
09:44Recording and Analyzing Multimodal Large-Scale Neuronal Ensemble Dynamics on CMOS-Integrated High-Density Microelectrode Array
Published on: March 8, 2024
07:21Electroencephalographic Signal Acquisition Framework for Neurodiverse: A Case Study of Dolphin-Assisted Therapy
Published on: June 27, 2025