Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"Haar Wavelet Transform"”.
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Image fusion for a nighttime driving display
… using the computationally simple Discrete Haar Wavelet Transform. This thesis presents the techniques that were developed and the details of their implementation.
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Joint routing protocol and image compression algorithm for prolonging node lifetime in wireless sensor network
… image compression technique based on adaptive Haar wavelet transform has been implemented. The simulation designs based on MATLAB consists of 100 randomly distributed nodes over an area of 100 m2, with 30 Kbits and 40 Kbits of packet sizes. The comparison between the proposed CPF protocol and …
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Novel color and local image descriptors for content-based image search
… image classification performance. Third, a new HaarHOG descriptor, which integrates the Haar wavelet transform and the Histograms of Oriented Gradients (HOG), is presented for extracting both shape and local information for image classification. Next, a novel three Dimensional Local Binary …
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Automatic Modulation Classification Using Grey Relational Analysis
One component of wireless communications of increasing necessity in both civilian and military applications is the process of automatic modulation classification. Modulation of a detected signal of unknown origin requiring interpretation must first be determined before the signal can be …
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Real Time SLAM Using Compressed Occupancy Grids For a Low Cost Autonomous Underwater Vehicle
… that stores the occupancy grids using the Haar wavelet representation is presented. Finally, a form of the FastSLAM algorithm is presented that stores the occupancy grid in compressed form to reduce the amount memory required to perform the algorithm. It is shown in experimental results …
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Computational Analysis of Genome-Wide DNA Copy Number Changes
… CNAs using circular binary segmentation and wavelet transform, which calculates a score based on both the amplitude and frequency of the copy number changes. We generated CIN indices on ovarian cancer subtypes' copy number data and used them as features to train a SVM classifier. The …