M.Tech In Signal Processing Syllabus

  • course years 2 Years
  • type of course Post Graduate
  • course stream Engineering
  • course type Full Time

Dive into the comprehensive syllabus of the M.Tech in Signal Processing program, covering advanced topics in digital signal theory, image processing, speech recognition, and pattern recognition. Gain insights into the knowledge and skills you'll acquire during your studies.

Syllabus and subjects in M.Tech Signal Processing

The M.Tech in Signal Processing program is designed to provide students with an in-depth understanding of advanced concepts and applications in the field of signal processing. The comprehensive syllabus covers a wide range of topics, including digital signal processing (DSP), image and video processing, speech recognition, pattern recognition, and machine learning for signal analysis. Students will engage in hands-on learning through laboratory work, projects, and research, enabling them to apply theoretical knowledge to real-world signal processing challenges. The program also explores emerging trends in signal processing, such as deep learning and data-driven signal analysis. Additionally, students will develop expertise in signal modelling, algorithm development, and statistical analysis. Throughout the program, there is a strong emphasis on problem-solving, critical thinking, and collaborative teamwork, preparing graduates for careers in various industries, including telecommunications, biomedical engineering, multimedia technology, and more. By the end of this program, students will be well-prepared to contribute to advancements in the dynamic field of signal processing.


S.No 1st Year Syllabus of M.Tech. Signal Processing
1Digital Logic Design
2Digital IC Design
3Digital Signal Processing
4Microcontrollers and Applications
5Technical Seminar


S.No 2nd Year Syllabus of M.Tech. Signal Processing
1Digital Systems Laboratory
2ASIC Design
3Image and Video Processing
4Advanced Digital Signal Processing
5Embedded Systems
6Project Work


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