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Content Based Retrieval (CBR) systems use Relevance Feedback (RF) to fill the semantic gap. RF can be short-term or long-term. The introduction of long-term learning methods address the memory problem in short-term learning methods. In this letter we propose a new method to enhance the gain of long-term relevance feedback. We have come up with a long term(More)
Image descriptors encode the images in the database as feature vectors. Feature vectors play main role in content based image retrieval. This paper proposes a new feature vector based on wavelets. Most of the natural images have short span high frequencies and low frequencies extending for larger span. Hence, the design of our feature vector is such that it(More)
This paper introduces a novel minimum mean square restoration approach with noise adaptive regularization for linear, space invariant known blur. The restoration filter is designed to de-blur the image while minimizing the noise in the image. The adaptive noise reducing characteristic of the filter is proved analytically. It has been substantiated with(More)
We present a new inhomogeneous image restoration model with an edge detection based regularization term, for known linear shift invariant blur kernel. Our regularization term penalizes the noise, but not the edges. Our method is well suited for real world images with texture. The proposed algorithm has two major benefits : It is tuned to decouple edges from(More)
Automatic Speech Recognition (ASR) is a flourishing and swift area for the conversion of acoustic signals acquired from human speech into various other forms such as text, actions, etc. , Conversion of Speech To Text (STT) is an incredible and challenging Task. In this paper, we present the study on comparing various digital representations for recording(More)
An efficient non-orthogonal pyramid representation was proposed by Burt. However it has been stated in literature that the Laplacian sub bands of Burt pyramid have redundant information. In this paper, we propose a modified pyramid representation to reduce the redundancy in Laplacian sub bands. The proposed pyramid representation makes use of well studied(More)
Viterbi Decoder is the dominant module to determining the power consumption of the system. High speed and low power design of Viterbi Decoder with data rate1/2 and convolution encoding with a constraint length K = 9 is presented in this paper. The Proposed Viterbi decoder can be reduce the power consumption without reducing the decoding speed and also(More)
Wireless technologies are rapidly being adapted from simple monitoring and control to supervisory control and data acquisition (SCADA) system. Wireless provides highly reliable data communications in harsh and interference-heavy environment. In this article, new wireless SCADA system has been built to control Al-Najaf cement plant wirelessly. Two pieces of(More)
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