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Digital Signal Processing (DSP) Course

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About The Course

This course provides a comprehensive foundation in digital signal processing techniques used in audio, video, radar, and communication systems. Participants will apply filtering, transforms, and analysis techniques in practical DSP environments.

Objectives

  • Learn the principles of discrete-time signals and systems.
  • Apply Fourier Transform, Z-transform, and convolution techniques.
  • Design and analyze FIR and IIR filters.
  • Use DSP tools such as MATLAB or Python for signal manipulation.
  • Interpret and process real-world signals across industries.

Requirements

Requirement

Background in electrical engineering or applied mathematics.

Requirement

Basic programming in MATLAB or Python.

Requirement

Understanding of calculus and linear algebra.

Requirement

Ideal for students, engineers, and data analysts.

Register or Have Questions?

01 Register Now

02 Request Information?

You can contact our support team via Contact Page or call directly to inquire more about this course.

03 Know more about the course Duration

This course spans 3 Months and is available in Virtual mode.

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