Digital Signal processing with MATLB

Intuition, Theory and Applications

Ratings: 3.38 / 5.00




Description

This course covers main concepts of digital signal processing, using intuitions not only the theory, also covers the topics with examples, and illustrations. You will learn techniques like Correlation, Fourier Transform, Laplace Transform, Z Transform, FIR filters, IIR Filters, Multirate Filters, Floating point representation,Fixed point representation, Convolution, Continuous Wavelet transform, Discrete Wavelet transform. The course focuses not only on theory but also practicality. With examples from industry.  You will use Matlab but it can be adopted for any other programming languages, like Scipy of Python. Tools like FDATool of Matlab are coverd , for filter design and realization. You will have my 11 years of experience in just two hours. Enjoy solid material and innovative ideas. The course offers examples in bio signals like ECG. With ready practical examples. Weather you are an engineer,  student or entrepreneur you can benefit from the course. In your exam, company or freelance journy. The course comes from working in bio signal processing industry for 11 years. In different companies from Egypt,  Germany and Poland. The course covers important transforms like Laplace Transform and z transform, also basic filters like FIR and IIR, also advanced ones like Wavelet. Wavelet is the killer application for digital signal processing applications. So enjoy ?.

What You Will Learn!

  • This course covers main concepts of digital signal processing, using intuitions not only the theory, also covers the topics with examples, and illustrations.
  • You will learn techniques like Correlation to find similarity between two signals.
  • You will apply Fourier Transform to investigate Frequencies existence inside the signal under investigation.
  • You will learn Laplace Transform, Z Transform and their relation to Fourier transform
  • You will design and apply FIR filters, IIR Filters, and their floating and fixed points representations
  • You will use Fourier transform to test your filters performance
  • You will use Convolution and know the difference between it and correlation
  • You will design ans apply multi-rate filters to same computation complexity
  • You Continuous Wavelet transform to investigate the time and frequency existence of your signal.
  • You will use Discrete Wavelet transform to filter ECG signals.

Who Should Attend!

  • Digital signal processing students