Zobrazeno 1 - 10
of 44
pro vyhledávání: '"K.A. Narayanankutty"'
Publikováno v:
In Biomedical Signal Processing and Control August 2021 69
Publikováno v:
Biomedical Signal Processing and Control. 47:183-195
This paper elaborates the design details of a new set of bi orthogonal wavelet filters derived from double sided exponential splines. The designed wavelets are applied in compressed sensing (CS) scenario and results were quite promising. CS is a sign
Publikováno v:
Biomedical Signal Processing and Control. 69:102737
MRI is a highly efficient medical imaging modality that captures all the delicate structural features of human tissues and organs enabling accurate clinical diagnosis. The noise occurred during image acquisition and transmission degrades these struct
Publikováno v:
Multimedia Tools and Applications. 76:18815-18846
The performance of classifier algorithms used for predictive analytics highly dependent on quality of training data. This requirement demands the need for noise free data or images. The existing partial differential equation based diffusion models ca
Publikováno v:
2017 14th IEEE India Council International Conference (INDICON).
A new Alternating Direction Method of Multipliers based Least Mean Square-based Constant Modulus Algorithm (LMS-ADMM-CMA) is proposed in this paper. The paper puts forth an optimization framework that enables to do parallel processing of constant mod
Publikováno v:
Procedia Computer Science. 58:673-682
Anisotropic diffusion is used for both image enhancement and denoising. The Perona-Malik model makes use of anisotropic diffusion to filter out the noise. In Perona-Malik model the rate of diffusion is controlled by edge stopping function. The drawba
Publikováno v:
2016 IEEE Annual India Conference (INDICON).
In this paper, we propose an adaptive filtering algorithm, Hybrid Recursive and Least Mean Square-based Constant Modulus Algorithm (RLS-LMS-CMA) for optimized blind beamforming for a Uniform Linear Array (ULA). We consider that Recursive Least Square
Publikováno v:
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY. 9:1004-1011
Object tracking has importance in various video processing applications like video surveillance, perceptual user interface driver assistance, tracking etc. This paper deals with a new tracking technique that combines the dictionary based background s
Improving Information Content in Compressed Sensing by Modifying the Random Re-Construction Matrices
Publikováno v:
Indian Journal of Science and Technology. 9
Background/Objectives: Compressed Sensing (CS) is an efficient sensing paradigm which guarantees reasonable reconstruction with less number of samples. We aim to increase the reconstruction quality of signals in CS. Methods/ Statistical Analysis: The
Publikováno v:
International Journal of Computer Applications. 24:29-38
Increasing Processing capabilities of graphic devices and recent improvements in CCD technology have made hexagonal sampling attractive for practical applications. Also, hexagonal representation has special computational features that are pertinent t