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As shown in Figure9, with the aid of DF process, the demodulator achieves a considerable gain than the initial subblock tracking based symbol detection method.
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Besides, we employ a histogram based saliency detection method [17] for initializing the object likelihoods.
Performance of the symbol-detection method is evaluated in this subsection.
We implemented the CNN based detection method in MATLAB 2016b (The MathWorks, Natick, MA) with MatConvNet56 1.0-beta23.
In this paper, a correlation based detection method is used.
Time interval = 20 min. Organs were tracked automatically using signal intensity profiles of cell membranes based on a peak detection method.
The sensing function of our proposed method is based on this energy detection method.
Figure 13 shows the range estimates based on the developed detection method.
In this paper, we propose a fast multi-symbol iterative detection method.
FRET-based microscopy includes intensity-based detection methods and fluorescence decay kinetics-based detection methods [ 46].
Next, the solutions to the maximum likelihood sequence detection problem and maximum a posterior (MAP) symbol detection problem based on the Viterbi algorithm and BCJR algorithm respectively are devised.
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