Compared with the baseline algorithm, filter bank common spatial pattern (FBCSP), the proposed algorithm improves by 11.44 and 7.11% on two datasets, respectively (p < 0.05). Conclusion: It is ...

In AI machine learning, recursive least squares (RLS) are a type of adaptive filter algorithm known for faster convergence and higher performance. When compared to least mean squares (LMS ...

Figure 1: Adaptive filters are an integral ingredient in the echo canceller architecture, building a mathematical representation of the echo path Since the adaptive filter can only approximate the ...

In this investigation, an adaptive filter algorithm using Fractional Fourier transform (FrFT) has been developed for enhancement of targets in microstructure noise. In particular, the FrFT is ...

As image noise has an effect upon the consequent results of image, it is necessary to denoise image before the following pretreatment. In order to overcome the disadvantages of traditional median ...