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These advances can be used in a wide range of signal processing applications from Telecommunications to Biomedicine including EEG and Fetal Movement signals analysis and processing, where time-frequency peak detectors can provide additional features for classification improvement.
It is quite important to carry out an investigation to classify the actual problems of EMG signals analysis and justify the accepted measures.
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All custom-made software for signal analysis and real-time behavioral control will be available under https://github.com/pavolbauer.
The ambiguity function and matched filter are employed for the active signal analysis and processing.
Other works on more advanced signal analysis and superior fault classification approaches were also discussed.
It is illustrated by numerical simulated signal analysis, and is further validated via lab experimental rolling bearing vibration signal analyses.
Also included are studies of transient signal analysis and comparisons of model results to experimental data and asymptotic results.
The simulation capabilities of nonlinear dc analysis, small signal analysis, and nonlinear transient analysis are combined in a nodal analysis program to yield a reasonably general purpose electronic circuit simulation program.
As the key elements in wireless sensor networks (WSNs 23,24,25, sensor nodes should have the capability to collect sensing signals, perform signal analysis, and communicate with other sensor nodes or the gateway sensor node.
Some of these representations are used for FM signal analysis and decision in a context of multiplicative and additive noise.
This chapter presents a reconfigurable ultrasonic smart sensor platform (RUSSP) for real-time signal analysis and image processing.
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