Least-mean-square (LMS) filters are a well-studied processing technique that adapts
iteratively to an unknown process. It has been proven that the parameters of the LMS filter …

A method and apparatus for tracking and mitigating phase noise in a communication
receiver are disclosed. The phase noise tracking and mitigation apparatus operates in a …

To remove high intensity cloud clutter in infrared image sequence containing point target
with high velocity, based on the optimal log-likelihood ratio detector test (LLRDT) together …

The least-mean-square (LMS) adaptive filter is applied to suppress narrow-band
radiofrequency interference (RFI) in wideband synthetic aperture radar (SAR) signals …

A good dataset was required for attaining good accuracy in machine learning, especially in
prediction, so that prediction accuracy was high. The imbalanced or too small dataset was a …

BACKGROUND 1. Technical Field The present invention relates to a process and device for
predicting noise in a received signal, in particular, for predict ing noise in received signals by …

Wireless communications, together with its applications and underlying technologies, is
among today's most active areas of technology development. The very rapid pace of …

The paper presents a Euclidean distance maximum likelihood sequence estimation (MLSE)
receiver, based on the Viterbi algorithm (VA), suitable for fading and noisy communications …

In this paper, a preselected discrete cosine transform-least mean squares (PDCT-LMS)
algorithm is proposed. In this method, after a DCT operation, a tapped-delay-line (TDL) form …

A new LMS algorithm is introduced for improved performance when a sinusoidal input signal
is corrupted by correlated noise. The algorithm is based on shaping the frequency response …