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Subsequently, such an upper bound is minimized by properly designing the filter parameter recursively.
Maneuver of observed targets are detected and the filter parameter are adapted accordingly.
Then, the low-pass filter parameter was determined and the transformation was filtered.
Then, by solving the linear matrix inequalities (LMIs), the filter parameter matrices can be obtained.
Moreover, W is the unknown filter parameter vector that has to be estimated.
Studies of filter parameter selection can be found in [3, 19 21].
Similar(16)
The filter parameters are used as follow.
In fact, just few filter parameters do not vanish.
The reference filter parameters are summarized in Table 2. Table 2 Summary of the reference filter parameters.
The decomposition low-pass filter parameters of the Haar, DB2 and DB5 wavelet are shown in Fig. 4. Fig. 4 Low-pass filter parameters of different wavelet families.
The influence of filter parameters on the stability of the RD signature was also examined.
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