Use the first example for objects that you use in your everyday life.
To illustrate the effect of cross-terms on signals with close Doppler signature, Figure 3c plots the averaged PWVD for the chirp signals used in the first example.
For the second example, we conducted simulations to compare the performance of the shrinkage-PHD filter (shrinkage-PHDF), the PHD filter (PHDF) [16], and the classical multitarget particle filtering method (MPF) [8] in tracking accurately and consistently, and 50 Monte Carlo runs for the same scenario as used in the first example were performed.
Using the first mode for our example reveals scale factors of (4 4 2 2 2) for 1024 point five stages, giving the highest SQNR with a Gaussian input.
For example, using the first encoding scheme, a received signal can be divided into groups of two characters and then decoded using the table Encoding 1 of M using S. Thus, to decode the signal 11010111001010, first divide it into 11 01 01 11 00 10 10, which indicates that DBBDACC was the original message.
For example, using the first seven PCs (60% of the total variance), the accuracy decreased by 2%.
For example, using the first row of the data in Table 1, the probability that seven deaths occurred out of 182 patients is given by 182C7p(1 - p).
For example, using the first few weeks' data, we can find a energy and mass conversion rate for each subject and then use their weekly Total Energy Expenditure TEEE) to predict their weekly weight.
For example, using the first set, the data can be divided so that the training set contains all the observations in { S2,...,S k }, and the testing set those in S1.
For example, using the first chart suggested above, if we had about a 31 inch waist, a 43 inch hip, and a 25 inch thigh measurement, we'd be about right for a size 14 pair of jeans.
