Signal Representations: Wavelet Analysis

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Page 3 of 4

Explores fundamental building requirements and roles in technology, including sustainability and material assembly methods.

Covers the probabilistic model for linear regression and its applications in nuclear magnetic resonance and X-ray imaging.

Covers the development of Jupyter Notebooks for image processing labs with automated suggestions for students.

Explores image interpolation, splines, wavelets, and geometric transformations in image processing.

Covers the installation of pre-requirements for MATLAB tools and introduces Thermodynamics-based Flux Analysis packages.

Introduces the basics of image processing, covering point and spatial operators, histogram processing, and transform-domain operations.

Covers the foundations of artificial intelligence, machine learning, the data revolution, and research examples in AI and machine learning.

Covers the probabilistic model for linear regression and the importance of regularization techniques.

Introduces Enterprise and Service-Oriented Architecture, emphasizing understanding what and why to build, rather than just how.

Covers solutions for aligning business and IT through information modeling, RFP/RFT, and low-code platforms.