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PHYSICAL ANALYSIS OF OFDM BASED IEEE 802.11A FOR MULTIPATH RAYLEIGH CHANNEL

Published In: 1ST INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER, ELECTRONICS AND ELECTRICAL ENGINEERING
Author(s): SWAPNITA R. DHABRE

Abstract: Wireless local area networks(W-LANs) have become increasingly popular due to the recent availability of affordable devices that are capable of communicating at high data rates.The IEEE 802.11a standard is WLAN standard which uses orthogonal frequency division multiplexing technology.The standard provides data rates upto 54 Mbps making it a good candidate for high-speed wireless communication. It utilizes different modulation schemes for different data rates,since the choice of modulation scheme to be used depends upon the current state of the transmission channel,Recent wireless devices often support multiple modulation schemes, and hence multiple data rates are possible.The selection of the best rate is obtained through a rate adaptive MAC protocol called the Receiver-Based Auto Rate (RBAR) protocol[1].The performance of the standard is studied under the indoor wireless environment for Multipath Rayleigh channel.In this paper ,the simulation results for modulation schemes 16-QAM and 6

  • Publication Date: 12-Mar-2012
  • DOI: 10.15224/978-981-07-1847-3-671
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AN APPROACH TO IMAGE SEGMENTATION USING K-MEANS CLUSTERING ALGORITHM

Published In: 1ST INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER, ELECTRONICS AND ELECTRICAL ENGINEERING
Author(s): A.A KHURSHID , CHINKI CHANDHOK , SONI CHATURVEDI

Abstract: This paper presents a new approach for image segmentation by applying k-means algorithm. In image segmentation, clustering algorithms are very popular as they are intuitive and are also easy to implement. The K-means clustering algorithm is one of the most widely used algorithm in the literature, and many authors successfully compare their new proposal with the results achieved by the k-Means. This paper proposes a color-based segmentation method that uses K-means clustering technique . The k-means algorithm is an iterative technique used to partition an image into k clusters. The standard K-Means algorithm produces accurate segmentation results only when applied to images defined by homogenous regions with respect to texture and color since no local constraints are applied to impose spatial continuity. At first, the pixels are clustered based on their color and spatial features, where the clustering process is accomplished. Then the clustered blocks are merged to a specific number of

  • Publication Date: 12-Mar-2012
  • DOI: 10.15224/978-981-07-1847-3-675
  • Views: 0
  • Downloads: 0