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Acoustic Noise Cancellation Based on MCC Adaptive Algorithm
The least mean square (LMS) algorithm is widely
used in acoustic noise cancellation (ANC). Impulsive noise is an
important feature in the ANC application that have paid special
attention, recently. Due ...
Cooperative Spectrum Estimation Over Large-Scale Cognitive Radio Networks
Spectrum sensing is a significant issue in cognitive radio networks which enables estimation of the frequency spectrum
and hence provides frequency reuse. In the large-scale cognitive radio networks, secondary users ...
Adaptive multitask network based on maximum correntropy learning algorithm
Adaptive networks solve distributed optimization problems in which all agents of
the network are interested to collaborate with their neighbors to learn a similar
task. Collaboration is useful when all agents ...
Transient Performance Analysis of Adaptive Multitask Network Based on Correntropy Criterion
In this paper, we investigate the transient performance of the proposed distributed multitask learning
algorithm that is developed based on maximum correntropy criterion. In the first stage, we derive the
proposed ...
Robust Learning Over Multitask Adaptive Networks With Wireless Communication Links
Recently, adaptation, optimization and learning over
multitask networks with ideal communication links have been
investigated in the literature. However, in real-life applications,
the communication ...
حذف نویز صوتی مبتنی بر یک الگوریتم وفقی نوین
الگوریتم وفقی کمینه میانگین مربعات (LMS) به صورت گسترده در سناریوی حذف نویز صوتی مورد استفاده قرار گرفته است. سیگنال های صوتی مانند گفتار معمولا شامل تغییرات ناگهانی هستند که با نویز غیرگوسی و ضربه ای مدل می شوند. از طرف ...
Adaptive Beamforming Based on Linearly Constrained Maximum Correntropy Learning Algorithm
The Gaussian noise profile has been demonstrated
to be an inaccurate model in several antenna beamforming
problems. Many available beamformers are based on secondorder
statistics and their efficiency ...