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Learn Digital Signal Processing with our Online Course and be a MATLAB Expert!

Signal processing using digital computers and special purpose digital hardware has taken on major significance in the past decade. The inherent flexibility of digital elements permits the utilization of a variety of sophisticated signal processing techniques which had previously been impractical to implement. Advances in integrated circuit technology have had a major impact on the technical areas to which digital signal processing techniques and hardware are being applied. Applications of these techniques are now prevalent in such diverse areas as biomedical engineering, acoustics, sonar, radar, seismology, speech communication, telephony, nuclear science, image processing and many others. Thus, a thorough understanding of digital signal processing fundamentals and techniques is essential for anyone concerned with signal processing applications.

Salient Features of our Online Course on DSP

  • Get access to 14 Lessons in 7 Chapters with detailed guidance & MATLAB Codes.
  • Watch ten video lessons with full MATLAB explanations.
  • Read the chapters for step by step explanation & follow up with codes.
  • Learn the concepts of DSP with mathematical understanding.
  • From Convolution to PSD, Have topic visualizations with plots in MATLAB.
  • Get in touch with us via Comments on Discussion Section for your queries.
  • Complete an online MCQ Quiz with 75%+ Score & Get our Digital Certification.

Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices.

The goal, for students of this course, will be to learn the fundamentals of Digital Signal Processing from the ground up. Starting from the basic definition of a discrete-time signal, we will work our way through Fourier analysis, filter design, sampling, interpolation and quantization to build a DSP toolset complete enough to analyze a practical communication system in detail. Hands-on examples and demonstration will be routinely used to close the gap between theory and practice.

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