M-estimate Affine Projection Algorithm Based On Correntropy Induced Metric
نویسندگان
چکیده
منابع مشابه
New Proportionate Affine Projection Algorithm
A new proportionate-type affine projection algorithm with intermittent update of the weight coefficients is proposed. It takes into account the “history” of the proportionate factors and uses a fast recursive filtering procedure. Also, the effect of using dichotomous coordinate descent iterations is investigated. Simulation results indicate that the proposed algorithm has improved performance a...
متن کاملThe fast affine projection algorithm
This paper discusses a new adaptive filtering algorithm called fast affine projections (FAP). FAP’s key features include LMS like complexity and memory requirements (low), and RLS like convergence (fast) for the important case where the excitation signal is speech. Another of FAP’s important features is that it causes no delay in the input or output signals. In addition, the algorithm is easily...
متن کاملSpeech Enhancement using Affine Projection Algorithm and Normalized Kernel Affine Projection Algorithm
The aim of the Speech Enhancement system is to improve the quality of noisy speech signal. This paper emphasize on enhancement of noisy speech by using Affine Projection Algorithm (APA) and Kernel Affine Projection Algorithm (KAPA). Noise is present everywhere in the environment, So Kernel adaptive filters are used to enhance noisy speech signal and shows the good improvement in increasing the ...
متن کاملA Robust Dispersion Control Chart Based on M-estimate
Process control charts are proven techniques for improving quality. Specifying the control limits is the most important step in designing a control chart. The presence of outliers may extremely affect the estimates of parameters using classical methods. Robust estimators which are not affected by outliers or the small departures from the model assumptions are applied in this paper to specify th...
متن کاملAn Enhanced Set-Membership PNLMS Algorithm with a Correntropy Induced Metric Constraint for Acoustic Channel Estimation
In this paper, a sparse set-membership proportionate normalized least mean square (SM-PNLMS) algorithm integrated with a correntropy induced metric (CIM) penalty is proposed for acoustic channel estimation and echo cancellation. The CIM is used for constructing a new cost function within the kernel framework. The proposed CIM penalized SM-PNLMS (CIMSM-PNLMS) algorithm is derived and analyzed in...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IFAC-PapersOnLine
سال: 2019
ISSN: 2405-8963
DOI: 10.1016/j.ifacol.2019.12.390