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Now showing items 41-46 of 46
Spectrum sensing in cognitive radio using quickest change detection framework
(Dhirubhai Ambani Institute of Information and Communication Technology, 2015)
Spectrum sensing is a term associated with detection of primary (licensed) users
(PU) by secondary (unlicensed) users (SU) to pursue opportunistic transmission
of their data. The problem of spectrum sensing is challenging ...
Study of communication schemes for multiple neural processing nodes
(Dhirubhai Ambani Institute of Information and Communication Technology, 2015)
Over the past few years variety of hardware for implementing Artificial Neural
Networks (ANN) has been designed. The most basic approach to speed up any
ANN algorithm, is to parallelize processing. However, the existing ...
Study of fuzzy clustering algorithms and enhanced fuzzy reasoning application to texture based image segmentation
(Dhirubhai Ambani Institute of Information and Communication Technology, 2015)
c-means (k-means) is a popular algorithm for cluster analysis. Many variants of
c-means algorithms are available. All these models are studied in depth and convergence
of iterative solutions are verified, in this thesis. ...
Summarizing medical texts for effective retrieval
(Dhirubhai Ambani Institute of Information and Communication Technology, 2015)
User centered health information retrieval is a challenging and important problem
in information retrieval. In this work, we apply medical resources to bridge the
vocabulary mismatch between lay-users and medical documents. ...
Wideband active mixer with high gain and high linearity
(Dhirubhai Ambani Institute of Information and Communication Technology, 2015)
An active mixer is presented with improved conversion gain and linearity over
a wide range of frequency. The mixer is combined with a low noise amplifier
which not only provides braodband input matching but also cancels ...
On large scale near-independent blind source separation
(Dhirubhai Ambani Institute of Information and Communication Technology, 2015)
The thesis addresses Blind Source Separation (BSS) in Large Scale (LS) and near-Independent
(nI) sources scenario. The large scale in BSS imply number of unknown sources ranging from 15 to 140, so that the corresponding ...