期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：6
出版社：S.S. Mishra
摘要：In wireless sensor networks there are one major issue, that is channel noise. Now a day's Noise is the major problem while working with wireless sensor Networks. In this algorithm introducing new noise detection mechanism based on RF energy duration. If noise is detected in this go through SSBLFNRA (Source Segregation through Bandwidth frequency domain limiter and Linear Filters for Noise Reduction Algorithm) to reduce the detected noise. The idea of this is to examine how different aspects of sound¡ªnoise, speech privacy, speech intelligibility, and music¡ªimpact patient and staff outcomes in healthcare settings and the specific environmental design strategies that can be used to improve the acoustical environment of healthcare settings. The term "noise" is commonly used to describe a phenomenon of interference or disturbance that occurs within both wireless sensor and wired communication systems. In practical scenarios, noise is almost unavoidable and can never be eliminated completely from a wireless sensor communication channel. Also, there are multiple types of noises originating from different sources known to be contributing in making the process of wireless sensor communication difficult and highly unreliable. Experimental Results and discussions noise can be reduced by applying SSBLFNRA, in this reduce that noise effectively than previous methods. This algorithm is enhancement of DUET and SAFIA. We presented first an algorithm for estimating the mixing matrix, which can be seen as an extension of the DUET and the SAFIA algorithms but requires less stringent condition them. We then confirmed the validity of the algorithm by performing several simulations and by comparing these results with those obtained using standard clustering algorithms. After the mixing matrix was estimated, we were also able to recover the source matrix using a standard linear programming algorithm. This method improved the SNR
