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The architecture tightly integrates the search for the appropriate front-end signal processing configuration with the search for plausible interpretations.
In this paper, we propose a comprehensive and effective signal processing configuration with which most of the aforementioned criteria can be met suitably.
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Due to the well-defined interface definitions for signal processing units, configuration sources and control systems it is possible to use various implementations of these components and easily switch between them.
This paper deals with photonics half subtraction design for photonics signal processing by using SOA-MZI configuration.
The configuration of signal processing includes specifying the order of decimation (fraction of the original sampling frequency) and the number of spectral lines for the Fourier analysis.
The suitable values for configuration parameters of signal processing such as window size and threshold level were estimated by the initial experiments (w = 250 ms and T = 0.6).
Data acquisition was performed on a static configuration by recording direct and indirect solar loading during several days and was processed using advanced signal processing techniques in order to increase signal-to-noise ratio and signature contrast of the elements of interest.
The sampling frequency of 81.93 Hz and a Nyquist frequency of 40.97 Hz were chosen in configuration setting of the signal processing.
Even for the measurement of a single parameter, a variety of measurement principles is available, and for each principle many sensor types, measurement configurations and different ways of signal processing and data handling are available.
A comprehensive simulator design and range signal processing algorithm are presented to identify a mission specific altimeter configuration.
Signal processing was carried out by a process computer.
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