Abstract: Echocardiograms are the result of utilizing ultrasound devices to capture cardiac structures and dynamics. The results of these scans, which are depicted as video or images, are assessed by physicians to determine heart conditions. Although ultrasound devices are making way into diverse medical scenarios, their utility has been hampered by the need for extensive operator training to perform examinations, and medical experience required for analysing imagery. Telesonography or tele-ultrasound, allows for the guidance and interpretation of ultrasound acquisitions by distant medical experts. Since video content sharing necessitates large amounts of bandwidth, encoding techniques can be applied beforehand to reduce the size of exchanged data. This paper introduces a healthcare solution that aims to support the encoding and compression of medical imagery. The proposed application combines several image processing techniques with ROI video coding algorithms to achieve optimal size and qualit

• Publication Date: 29-Dec-2015
• DOI: 10.15224/978-1-63248-082-8-10
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Abstract: The adaptive algorithm has been broadly used in the digital signal processing like channel estimation, channel equalization, noise cancellation, and so on. One of the most significant adaptive algorithms is the NLMS algorithm .This paper discuss about several objective optimization approaches to fast blind channel equalization. Different filter structures are presented to nullify the diverse form of noises. In this paper the proposed algorithm constrained stability least mean square (CSLMS) algorithm has distinct feature of minimizing mean square error (MSE) effectively. Different adaptive filter methods are proposed and finally CSLMS based adaptive filter algorithm is found to be the best in performance in terms of signal to noise ratio(SNR) and mean square error without increasing the computational complexity.

• Publication Date: 29-Dec-2015
• DOI: 10.15224/978-1-63248-082-8-11
• Views: 0
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