Course

Syllabus

Review of Signal Processing Techniques – Adaptive Filters (Four basic types), Estimation Theory, Multirate Digital Signal Processing Basic Concepts. Introduction to Wavelet Transforms—Discrete Wavelet Transforms- Discrete Wavelets and Filter Banks. Introduction to Kalman Filter and Variations. Applications.

– Two dimensional signals and systems–Sampling in two dimensions–Two dimensional discrete transforms–– DCT –DWT– Applications–2D Hadamard Transform, Walsh Transform, KLT, Application – Z Transform and its properties –Image Acquisition– Enhancement- Filtering in Spatial and Frequency domain. Morphological operations, Image segmentation, Feature Extraction, Image Compression – 3D signals and Systems–3D sampling and reconstruction–Digital Video Processing – Case Studies

Pre-requisite: Nil

Course Objective

• To apply digital signal processing techniques to analyze, model, and simulate electrical systems.
• To design and implement advanced filters and multirate methods for real-time signal processing applications.

Course Outcomes

CO-PO Mapping

1. Rafael C. Gonzalez, “Digital Image Processing”, Third Edition, PHI Private Limited, New Delhi, 2008.
2. John W. Wood, “Multidimensional Signal, Image, Video Processing and Coding”, Elsevier, 2006.
3. Mitra S.K., “Digital Signal Processing, A Computer-Based Approach”, 4th Edition, McGraw-Hill, 2013.
4. Ifeachor E. C. and Jervis B. W., “Digital Signal Processing: A Practical Approach”, 2nd Edition, Pearson Education, 2009.
5. Vaidyanathan P. P, “Multirate Systems and Filter Banks”, Prentice Hall, 1993.
6. Simon Haykin, “Adaptive Filter Theory”, 4th Edition, Pearson Education, 2008.