Signal Processing


Why Signal Processing

M Tech Signal Processing is a postgraduate level course, and it is a specialized branch of Electronics Engineering course. It is an area of system, electrical engineering and applied mathematics that deals with operations or analysis of signal processing.

  • The Course provides an advanced knowledge in signal processing technology, and it is applied in the field of sensor systems, such as imaginary system, sonar, and radar
  • Candidates who are very much interested in this course can future apply for a PhD course after completion of M.Tech Course to gain more advanced knowledge.
  • This course will provide a better platform for those who are willing to pursue their career in a range of industries such as medical equipment, communication, radar, and all other fields where signal processing is required 
  • After completing the course, the candidate should be able to identify the principles applied to signal processing and communication and to elaborate and gain practical experience. And can also work in preparation of research work and advanced study in an industrial environment and in many organizations.

Why Study M.Tech Signal Processing?

           Candidates who are interested in learning about Signal Processing techniques should opt for this course, The following are the reasons why one should study these courses: -

  • The programmed      gives a better opportunity to pursue technical courses at an advance level and it also creates an opportunity to engage in research projects
  • They will get a chance to work with quality engineers, experts, management team and learn a lot from them.
  • Many job opportunities in the teaching sector will be provided in various institutions.
  • The demand for this course is rapidly increasing as signal processing is used in almost every sector such as defense, communication, engineering, air stations, disaster management etc.
  • The average annual salary candidate gets after completing the course is better than many other programs.

Scope of the Course:

  • The programmed is tailored to provide an up-to-date engineering educational experience and specialist skills to meet the increasing worldwide demand for high calibre R&D and design engineers in modern telecommunications and information industries.
  • The programmed is aimed at new graduates who want to have a good start in their professional life and to train them to work in the telecommunications industry.
  • It is also aimed at engineers working in the telecommunication industry who want to update their knowledge of the technology or change their career emphasis to telecommunications.
  • Candidates can get placement in leading Core communication companies like BSNL, MTNL, Reliance Communications, Tata Telecom, Hutch, Barathi Telecom, Airtel, Nokia, CISCO, IBM, Intel, Agilent, Alcatel, AT & Tand Ericsson. R&D institutions and industries working on Communication Technology.

M.Tech. Communication and Signal Processing Employment Areas

  • Colleges & Universities
  • BHEL
  • NTPC
  • BSNL
  • Coal India
  • Huwaei
  • Rcom
  • Alcatel
  • ZTE
  • Nokia
  • Siemens
  • Virtual
  • Bharti Airtel
  • 3G Hutchison
  • Aishwarya Telecom
  • Ancon Communications Ltd.
  • Avaya Global
  • VSNL

M.Tech. Communication and Signal Processing Job Types

  • Audio DSP Software Engineer
  • Lecturer/Professor
  • Signal Processing Engineer
  • Video Communications Systems Engineer
  • Hardware Verification Engineer
  • Principle Design Engineer

 MTech Signal Processing: Syllabus

The following table provides the syllabus of M.Tech Signal Processing course on semester Basis. One should look at the course syllabus very well before choosing the course to make a proper decision.

Semester I

Semester III

 Transformation Techniques

Mobile Communication

 Applied Mathematics

Speech Processing

 Advanced Digital Communication

Digital Image and Video processing

 Techniques of transformation

Radar Signal Processing

 DSP Processors

Wireless Communication

 Advanced Signal Processing

Pattern 

 Neural networks

Project Work

Semester II

Semester IV

 Fibre Optic communication

Multimedia compression techniques lab

 DSP Lab

Seminar

 Satellite Communication lab

Coding Techniques

 Mobile communication

Communications Lab

 Microwave measurements

VLSI signal Processing

 Adaptive Signal Processing

Electromagnet in sound system design

 Project Work

Eligibility:

  • The students should have completed a minimum of 60% Marks or equivalent CGPA in B.Tech.-Biotechnology or M.Sc.-Biotechnology/Microbiology/Biochemistry/Genetics/Botany/Zoology or M.Sc. Bio Sciences from a recognized University or equivalent examination.
  • Some of the very reputed institutes conduct an entrance examination for admission.