CMSC 465 Image and Signal Processing
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This course is considered the project-driven study of signal processing and image. The aim of the course is to apply the spectral analysis techniques for analyzing the time series data for classifying and recognizing the signals and application of image segmentation, description techniques, representation to classify and recognize objects.
Topics included in the course are:
- Discrete Fourier transforms,
- Fast Fourier transforms,
- Sampling and filtering, and
- Image transformations and enhancements.
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