Herein, both the fractal-based detector and the feature-based detector firstly operate on each individual range cell returns to obtain the binary outputs, and then the binary accumulator operates on those binary-detected outputs to determinate the presence of a target.
The results of the survey suggest that a suitable way to visualize the output of neonatal seizure detection systems in a clinical environment is a combination of a binary output and a probabilistic trace.
Consider a convolutional code C n,k,ν), where ν, k and n are the overall constraint length, the number of binary inputs and binary outputs, respectively, while the code rate is R = k/n.
A Dn-bit binary string is then extracted for each user through concatenating n-bit binary outputs of the individual dimensions.
In order to assess what experimental results should be regarded as a change, it is necessary to make an interpretation of the gene expression data that allows a comparison with the binary outputs of the Boolean model.
For 119 iterations, one sample was left out, unit binary classifiers of an appropriate combination were constructed using data from the remaining 118 samples, each binary classifier was run, and the binary outputs were summated and classified.
The rationale for the XOR logic gate (Figure 1B) was to emulate the binary output function of the correlation coefficient with the major exception that similar sequences (i.e., vectors having similar elements) would score equivalently.
Based on correlation, the weight factor has been calculated and multiplied with the sensing binary output to get the decision of a primary user's presence or absence.
When a discriminant function f[ l | m ] (x) is determined from a learning data set X[ l | m ] = {(x(n ), t(n )) ∈ X| t(n ) ∈ l ∪ m}, the binary output function of the classifier is described as follows.
