What you'll learn:
DSP
Fourier transform
Wavelets
FIR and IIR Filters
Continuous wavelet transform
Digital Wavelet transform
Multirate Filters
Requirements:
Python basics
Description:
Digital signal processing from the basic concepts to advanced. We strat from simple concepts like Correlation to reach wavelet transforms. You will learn Correlation,  sampling,  nyquist criteria, quantization error. Complex numbers, Laplace Transform and z transform. FIR and IIR Filters designs in python Scipy library. Then we will have intens usage of fast Fourier analysis to test our Filters performance. Then we talk about wavelet, Continuous Wavelet transform and Discrete Wavelet transform. I have the same course for Matlab with extra topics. And also An introduction to Kalman filter. If you liked this course kindly check the other. And don't forget to give me a rating of 5 :) .We used simple approach.  From bottom to top. With no need to first understand digital signal processing in first place. If you are absolute beginner or an experienced engineer, this course is for you.If you liked the course please give it 5 starts of rating. It will help me a lot to enhance the course and add more materials.Please check my other courses introduction to Kalman filter with python and digital signal processing with Matlab.More lectures will be added soon.Stay tuned. Welcome to the course. And don't forget to enjoy.
Who this course is for:
Who wants to learn DSP
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