Real-Time Signal Extraction: a Shift of Perspective

Marc Wildi Real - Time Signal Extraction Beyond Maximum Likelihood Principles

Marc Wildi Real - Time Signal Extraction Beyond Maximum Likelihood

Digital Binary Phase-shift Keyed Signal Detector

We have developed the effective algorithm for detecting digital binary phase-shift keyed signals. This algorithm requires a small number of arithmetic operations over the signal period. It can be relatively easy implemented based on the modern programmable logic devices. It also provides high interference immunity by identifying signal presence when signal-to-noise ratio is much less that its w...

Proposed new signal for real-time stress monitoring: Combination of physiological measures

Human stress is a physiological tension that appears when a person responds to mental, emotional, or physical chal-lenges. Detecting human stress and developing methods to manage it, has become an important issue nowadays. Au-tomatic stress detection through physiological signals may be a useful method for solving this problem. In most of the earlier studies, long-term time window was considere...

Time-Frequency Signal Processing: A Statistical Perspective

Time-frequency methods are capable of analyzing and/or processing nonstationary signals and systems in an intuitively appealing and physically meaningful manner. This tutorial paper presents an overview of some time-frequency methods for the analysis and processing of nonstationary random signals, with emphasis placed on time-varying power spectra and techniques for signal estimation and detect...