Wavelet

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    “Hard work is the key to success” – an adage that I believe in. Being a mathematics teacher, my father is my first inspiration to study science. With a mini-library he has in the house that constituted of mathematics and physics books, I can seek out any kind of book to study. His careful tutoring has instilled confidence in me to tackle mathematical problems. I used to perform exceptionally well in all the exams at school level. After class XII, I went on to take IIT-JEE, the toughest engineering

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    Abstract: Breast cancer research over the last decade has been tremendous and the novel methods being develop help in the early detection, in setting the stages of the therapy and in assessing the response of the patient to the treatment. Some of the studies look very promising and their use in future may decrease the radiation dose to the patient. This paper studies various techniques used for the diagnosis of breast cancer. Different methods are explored for their merits and de-merits for the diagnosis

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    using JND. Just Noticeable Distortion (JND) gives us a way to model the HVS accurately and to set a trade-off between two conflicting requirement robustness and imperceptibility [19]. Commonly used frequency-domain transforms include the Discrete Wavelet Transform (DWT) and the Discrete Cosine Transform (DCT). However, DWT has been used in digital image watermarking more frequently due to its excellent spatial localization and multi-resolution features, which are almost similar to the theoretical

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    A Survey on Feature Selection for Image Retrieval Preeti Kushwaha R.R.Welekar PG scholar, Department of CSE Professor, Department of CSE Shri Ramdeobaba College of Engineering and Management, Nagpur, India Shri Ramdeobaba College of Engineering and Management, Nagpur, India Abstract - Content based image retrieval is an image search technique which uses content of features such as colour, texture, shape, etc. to find relevant images from large collection of data according to user’s request

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    Abstract : The Objective of this project is to recognise english handwriting from a given document image. In this report we have used 40point feature extraction to extract pattern from the characters and then use this data to train artificial neural network.This system is very successful in recognition of handwritten characters. Hence this system will be suitable to convert handwritten text into text document. Introduction : Optical Character Recognition is one of the most researching field in recent

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    EEG Monitoring

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    Abstract – Epilepsy is an inveterate neurological disorder which is caused by unusual nerve cell activity in the brain and is characterized by consecutive unexpected seizures. Precisely indentifying and enumerating the seizures in patients with epilepsy is essential for diagnosis, selecting the treatment and estimating the effects of the therapy. Epilepsy detection done just by physically anatomizing a person’s body is a very arduous job as it involves peculiar nerve cell activity in the brain. These

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    Essay On Static Function

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    models constantly increase with depth. In this example, 12 sources and 130 receivers are located on the surface with a spacing of 2.0 and 0.2 m, respectively. The positions of the sources and receivers are shown in Fig. 2. The source type is a Ricker wavelet with a center frequency of 200 Hz in the seismic FWI and 20 MHz in GPR FWI. Seven frequencies are inverted in both the seismic FWI (100, 130, 160, 190, 220, 250, and 280 Hz) and GPR FWI (4, 6, 8, 10, 13, 16, and 19 MHz). Fig. 3 shows the individual

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    ABSTRACT: An exploration on identification of malady and organic product evaluating is helpful for agribusiness and ranchers. By distinguishing kind of sickness in foods grown from the ground evaluating of natural product taking into account its quality. For discovery of illness obliged diverse elements of products of the soil characterized these elements. For organic product reviewing section the picture after division figure contaminated and solid part of foods grown from the ground in light

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    Al-Haj [2] in his paper proposed solution for shortcomings of spread spectrum method is overcome by combining it with singular value decomposition for high rate of robustness. To make it more robust the watermark bits are inserted diagonally into wavelet transformed input audio signals and a controlling gain parameter is introduced. This method also

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    Abstract— In this paper, an approach for gender classification is carried out combining frontal face images, Haar cascades, Histogram of Oriented Gradients and Support Vector Machines. The comparison of the existing methods that delves into the effects of Haar Cascade Classifier and Histogram of Oriented Gradients(HOG) for Face Detection and the use of Support Vector Machines(SVM) for Gender Classification. A database of 2-D facial images was used, consisting of individual as well as group photographs

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