Rating 3.2 out of 5 (12 ratings in Udemy)
What you'll 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 …
Rating 3.2 out of 5 (12 ratings in Udemy)
What you'll 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.
DescriptionThis 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.
