A better option would be an array microphone, which uses dynamic signal processing techniques with an array of microphone inputs, typically arranged in a line, to isolate sounds that come from a specific direction and distance in the space before them.
This is for the case where the relative affinity of A is greater than that of B and where the timescales of the pathway A are much faster than that of B. In this case the dynamic signal processing in this circuit essentially mirrors the steady state signalling and response discussed above.
At the same time, dynamic strain sensing assisted by signal processing system provides possibility of using such DSSG for real-time elbow joint motion detection and posture analysis, thereby indicating its great potentials for human-machine interface, prosthetic, and biomechanical applications.
The developed system uses recent developments in dynamic recurrent neural networks and wavelet signal processing.
In the context of birdsong development, we have previously proposed that an effective way to do this is to use the dynamic spectrum or spectrogram, a classical signal processing tool, computed at multiple time scales in a nested fashion.
However, modern HAs contain numerous advanced signal processing features, such as dynamic range compression, in order to address changes in loudness perception associated with hearing loss or noise reduction schemes that alleviate speech understanding against background noise.
The main purpose of this article is to present the modular design of RunBot's control architecture and discuss how the inherent dynamic properties of the different modules lead to the required signal processing.
The motivation of this work is, by taking advantage of the dynamic nature of flow cytometry sample detection and applying digital signal processing methods, to measure fluorescence lifetimes using an unmodified flow cytometer.
We show how nonlinear signal processing techniques can be used for extracting simple dynamic models from complex experimental time series.
To aid in this process, two basic principles are discussed, namely the effect of the potential damage case on the dynamic behaviour, and the consequences involved with the information reduction in the signal processing.
Nanometer-resolution detection based on optical interferometry and signal processing techniques have been employed to find out dynamic-mode transformation factors of 6.25 × 10−3 T/m/Hz with 0.1-Hz resolution.
