The following repository provides students with material for the DSP course taught at the Landivar University. The following materials are presented:
- Statistics
- Signal Decompositions
- Convolution
- Running Sum
- Fourier and Inverse Fourier Transform
- Complex Fourier Transform
- Fast Fourier Transform
- Z-Transform, Pole and Zero Placement
- IIR Filters - Zero Pole Placement Method
- IIR Filter - Chevyshev and Butterworth Filters
- FIR Filter - Moving Average
- FIR Filter - Windowed Sinc Filters
- Multirate Sampling
- Filter Banks
It is recommended that you install Anaconda for managing your environment variables.
Requirements:
- NumPy
- SciPy
- Matplotlib