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Entropy (Basel, Switzerland), ISSN 1099-4300, 2018, Volume 20, Issue 6, p. 407
To address the sparse system identification problem under noisy input and non-Gaussian output measurement noise, two novel types of sparse bias-compensated normalized maximum correntropy criterion... 
Maximum correntropy criterion | Sparse system identification | Correntropy-induced metric | Proportionate update | Bias-compensated | Noisy input | proportionate update | NLMS | PHYSICS, MULTIDISCIPLINARY | noisy input | LEAST | bias-compensated | sparse system identification | IMPULSIVE NOISE | MEAN 4TH ALGORITHM | correntropy-induced metric | LMS | maximum correntropy criterion | CONVERGENCE
Journal Article
SIAM journal on applied dynamical systems, ISSN 1536-0040, 2017, Volume 16, Issue 2, pp. 1164 - 1196
Journal Article
Signal, Image and Video Processing, ISSN 1863-1703, 9/2015, Volume 9, Issue 6, pp. 1353 - 1356
...) algorithm for system identification when the system is sparse. It combines the $${\ell _1}$$ ℓ 1 -norm penalty function with the original cost function of the VSSLMS to exploit the sparsity of the system... 
Engineering | Signal, Image and Speech Processing | Adaptive filters | Image Processing and Computer Vision | Computer Imaging, Vision, Pattern Recognition and Graphics | Zero attracting | {\ell _1}$$ ℓ 1 norm | Sparse | Multimedia Information Systems | System identification | ℓ1 norm | l norm | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Algorithms, ISSN 1999-4893, 2015, Volume 8, Issue 3, pp. 743 - 753
.... For an MISO-FIR system with many inputs and unknown input time delays, the corresponding identification model contains a large number of parameters, requiring a great number of observations... 
Gradient projection pursuit algorithm | Time delay estimation | Sparse | Parameter identification | Compressed sensing | Sampled data | Algorithms | Least squares method | Mathematical analysis | Mathematical models | Time delay | Compressed | Recovery | compressed sensing | gradient projection pursuit algorithm | time delay estimation | sparse | parameter identification
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2018, Volume 10672, pp. 161 - 169
Conference Proceeding
Signal Processing, ISSN 0165-1684, 2009, Volume 89, Issue 7, pp. 1467 - 1474
...), and improved IPNSAF (IIPNSAF) which are suitable for sparse system identification. Simulation results show good performance of the proposed algorithms. 
Sparse system identification | Normalized subband adaptive filter | Proportionate | IMPROVING CONVERGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Electrical engineering | Algorithms | Signal processing | System identification | Computer simulation | Adaptive filters | Adaptation
Journal Article
Journal Article
IEEE signal processing letters, ISSN 1558-2361, 2018, Volume 25, Issue 7, pp. 979 - 983
In this letter, a novel diffusion Volterra (DV) algorithm is proposed for distributed in-network system identification in the presence of α-stable noise... 
Distributed nonlinear network | Interpolation | Memory management | Signal processing algorithms | alpha -stable noise"> alpha -stable noise | Complexity theory | Volterra filter | Noise measurement | Kernel | sparse filter | interpolation | α-stable noise
Journal Article
International Journal of Speech Technology, ISSN 1381-2416, 9/2018, Volume 21, Issue 3, pp. 435 - 450
.... This also requires huge memory requirement for saving the dictionary. In order to reduce the latency and to achieve some diversity, ensemble of exemplar dictionary based language identification (LID) system is explored... 
Engineering | Joint factor analysis | Signal,Image and Speech Processing | Exemplar dictionary | i-Vector | Language identification | Artificial Intelligence (incl. Robotics) | Social Sciences, general | Sparse representation | Learned-exemplar dictionary | Learned dictionary | Computer memory | Dictionaries | Language | Atomic properties | Response time (Psychology) | Representations
Journal Article
IEICE transactions on information and systems, ISSN 0916-8532, 2014, Volume E97.D, Issue 4, pp. 964 - 967
Journal Article