- 00:00 - Introduction & Question Framing
- 00:29 - Types of Spectral Spread (Sintonización, Ventaneo, Spread)
- 03:07 - Window Parameters, Resolution vs Leakage, and Exercise Discussion
- 15:50 - Window selection and frequency separation discussion ️
- 19:36 - Diagram explanation of main lobe width and bins
- 25:04 - Calculating minimum N and effects of window choice
- 31:44 - Choosing a sampling frequency and factors
- 36:34 - Preparing code and comparing windows in Python
- 38:01 - Window frequency response and effects on spectra ️
- 47:28 - Transformada de Fourier y compresión/expansión ️
- 49:08 - Métodos de diseño FIR en SciPy: ventanas, cuadrados mínimos y Remez ️
- 59:35 - Método de la ventana y plantilla brickwall para diseño FIR
- 1:03:19 - Inverse DFT / Sinc Kernel discussion
- 1:07:21 - Windowing the desired impulse response ️
- 1:11:46 - FIR symmetry, window method design & parameters ️
- 1:18:48 - Interpolation mesh and zero-padding
- 1:20:59 - Antisymmetric impulse responses and filter types
- 1:23:11 - FIR design methods: window, least-squares, and Parks-McClellan ️
- 1:34:26 - Least Squares FIR Design Explained
- 1:36:57 - Implementation, Examples, and Practical Tips ️
- 1:45:57 - Parks-McClellan Minimax Criterion & Remez Theorem
- 1:49:54 - Remez algorithm overview
- 1:53:29 - Iterative example and convergence demonstration
- 2:04:54 - Course wrap-up and next steps
- 2:05:29 - Break and recording issue
- 2:06:06 - Radar meteorology demo and live data ️
- 2:11:07 - Signal processing, spectra and clutter filtering ️
- 2:21:04 - Discussing radar environment and variable spectral width ️
- 2:22:04 - Need for adaptive digital filtering and GPU implementation ️
- 2:23:36 - Filtering results, reconstruction challenges, and class wrap-up
