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.

Results

Showing 1 to 7 of 7 for “"Wavelet Transform (WT)"”.

  1. Distributed multi-scale data processing for sensor networks

    … data processing algorithms based on distributed wavelet analysis. Specifically, we formulate and analyze a novel, distributed wavelet transform (WT) suited to the irregular-grid data samples expected in real-world sensor network deployments. The WT replaces node measurements with a set of wavelet

    rice Repository record for Distributed multi-scale data processing for sensor networks (opens in a new tab)

  2. Smart grid analysis with particular references to power quality and load forecast

    … new approach to deal with power quality problem. Wavelet Transform (WT) is used for the new approach. Complex Morlet Wavelet (CMW) is selected for the new approach introduced in this thesis. The proposed algorithm is able to identify all harmonic components including integer, non-integer and …

    city-london Repository record for Smart grid analysis with particular references to power quality and load forecast (opens in a new tab)

  3. Analysis of wave propagation in pipeline and plate-like structures for surface and interface condition assessment.

    … a material, such as crack initiation, crack growth, plastic deformation, or other forms of structural degradation. These waves are detected by AE sensors placed at various distances from the AE source on the surface of the structure. In this experimental work, AE sensors and pencil lead break …

    rgu Repository record for Analysis of wave propagation in pipeline and plate-like structures for surface and interface condition assessment. (opens in a new tab)

  4. Modeling, Designing and Applying Machine Learning Algorithms for Driver Drowsiness Detection

    … is measured with an ECG. The algorithm uses both wavelet and short Fourier transform (STFT). The algorithm extracts and selects the desired features. Then, the system applies both the support vector machine (SVM) and K- nearest neighbor (KNN) method. This achieves an accuracy of 80% or higher. In …

    claremont Repository record for Modeling, Designing and Applying Machine Learning Algorithms for Driver Drowsiness Detection (opens in a new tab)

  5. Information Measures For Statistical Orbit Determination

    … are achieved by implementing the fast-Fourier Transform (FFT) and the wavelet transform (WT) to construct a smaller subset of data for data allocation and transmission cost reduction. The accuracy of tracking the space objects as well as reduced costs will help increase the capability of …

    purdue-thes Repository record for Information Measures For Statistical Orbit Determination (opens in a new tab)

  6. Defect detection and condition assessment of adhesively-bonded joints using acoustic emission techniques.

    … The acquired signals were processed using wavelet transforms to explore time-frequency features, and compared with modified group velocity curves based on the Rayleigh-Lamb equations to allow identification of wave modes and edge reflections. The effects of propagation distance and source …

    rgu Repository record for Defect detection and condition assessment of adhesively-bonded joints using acoustic emission techniques. (opens in a new tab)