By Malay Kumar Kundu, Durga Prasad Mohapatra, Amit Konar, Aruna Chakraborty
Advanced Computing, Networking and Informatics are 3 exact and at the same time particular disciplines of information without obvious sharing/overlap between them. although, their convergence is saw in lots of genuine global purposes, together with cyber-security, web banking, healthcare, sensor networks, cognitive radio, pervasive computing amidst many others. This two-volume complaints discover the mixed use of complicated Computing and Informatics within the subsequent new release instant networks and protection, sign and snapshot processing, ontology and human-computer interfaces (HCI). the 2 volumes jointly comprise 148 scholarly papers, which were permitted for presentation from over 640 submissions within the second foreign convention on complicated Computing, Networking and Informatics, 2014, held in Kolkata, India in the course of June 24-26, 2014. the 1st quantity comprises cutting edge computing options and correct learn leads to informatics with selective functions in trend reputation, signal/image processing and HCI. the second one quantity however demonstrates the prospective scope of the computing ideas and informatics in instant communications, networking and security.
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Extra resources for Advanced Computing, Networking and Informatics- Volume 1: Advanced Computing and Informatics Proceedings of the Second International Conference on Advanced Computing, Networking and Informatics (ICACNI-2014)
4 shows the true estimation of secondary path impulse response with the variation in coefficient value for the true, estimated and error signal with respect to time. The performance of FXLMS algorithm for ANC can be judged from the discussed results pertaining to an adaptive framework. Fig. 2. Primary path impulse response Fig. 3. True secondary path impulse response An Improved Filtered-x Least Mean Square Algorithm for Acoustic Noise Suppression 31 Fig. 4. True estimation of Secondary path impulse response 5 Conclusion FXLMS Algorithm is widely used in acoustic noise cancellation environment due to its simple real time implementation & low computational complexity.
4. Azimuth estimation plot vs time samples using BRLS and VRLS Application of Bilinear Recursive Least Square Algorithm for Initial Alignment of SINS 7 Fig. 5. Azimuth MSE plot vs time samples using BRLS and VRLS Fig. 6. Azimuth error plot vs time samples using BRLS and VRLS Fig. 7. 50 GHz processor, are shown and their performances characteristic are discussed in the next section. e. 03 rand(n). The performance of two algorithms for estimating Azimuth angle error is shown in Fig. 3, Fig. 6. Azimuth error estimation is shown in Fig.
However, the common problem with all of these algorithms is the slow convergence rate, especially when there is large number of weights . To overcome this problem, more complex algorithms such as Filtered-x Recursive Least Square (FXRLS)  can be used. These algorithms have faster convergence rate compared to the FXLMS; however they involve matrix computations and their real-time realizations might not be cost effective. 2 Problem Formulation Acoustic noise problems are not only based on high frequency noise but many are also dominated by low frequency noise.
Advanced Computing, Networking and Informatics- Volume 1: Advanced Computing and Informatics Proceedings of the Second International Conference on Advanced Computing, Networking and Informatics (ICACNI-2014) by Malay Kumar Kundu, Durga Prasad Mohapatra, Amit Konar, Aruna Chakraborty
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