Brief Introduction
Intuition, Theory and ApplicationsDescription
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.
Requirements
- Requirements
- Basic Matlab and C programming
Introduction to the Discrete Fourier Transform with Python
- 4.4
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Understand the Discrete Fourier Transform The Discrete Fourier Transform (DFT) is one of the most useful algorithms in computer science and digital signal processing....
Digital Signal processing
- 0.0
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Intuition, Theory and Applications This course covers main concepts of digital signal processing, using intuitions not only the theory, also covers the topics with examples, and illustrations....
DSP From Ground Up™ on ARM Processors
- 0.0
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Digital Signal Processing on ARM : FFT, Filter Design, Convolution, IIR, FIR, CMSIS-DSP, Linear Systems, Correlation Please take a look at the full course curriculum....
Introduction to Biomedical Engineering
- 4.3
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The course is covering the practical basics of almost everything that a modern biomedical engineer is required to know: electronics, control theory, microcontrollers (Arduino), and high-level programming (MATLAB)....
