GRA work for AudioTech II
- DSP - Signals
- DSP - Sampling
- DSP - Modulation
- DSP - Autocorrelation
- DSP - Convolution
- DSP - DFT
- DSP - STFT
- DSP - Spectral Analysis
- Statistics - Statistical Models
- Frequency, amplitude and phase
- Sampling Process
- Correlation animation
- Convolution animation
- FT, DTFT, DFT, STFT animation
- Anaconda installation and python enviroment
- Coding Forms? Questions?
- Lesson 7: ASDR coding
- Lesson 1: Installing jupyter
- Lesson 1.5: Jupyter Basics: Python prepare
- Lesson 2: Intro Python Sound
- Lesson 2.5: Intro Lesson: Numpy
- Lesson 3: More Python and Numpy
- Lesson 4: Sinusoids
- Lesson 4.5: Functions Python
- Lesson 5: Working with Sound
- Lesson 6: Phase
- Lesson 6.5: Synthesis Part 1
- Lesson 6.5: Synthesis Part 2
- Lesson 7: Envelopes
- Lesson 8: Signal Modulation Part 1
- Lesson 8.5: Signal Modulation Part 2
- Lesson 9: Delay
- Lesson 10: Convolution
- Lesson 10: Frequency Content - Spectrum and Frequency Filtering
- Lesson 11: Pulse with Modulation
- Lesson 12: DFT Review
- Lesson 13: Frequency and pitch shifting
- Lesson 13: Psychoacoustic and Masking
- Lesson 14: DFT Review
- Lesson 15: STFT Part 1
- Lesson 16: STFT Part 2
- Lesson 17: Feature Extraction
- Lesson 18: Pandas Dataframe
- Lesson 19: Chromagrams
- Lesson 19: Data Science 1
- Lesson 19: Pitch Features
- Lesson 20: Energy and RMSE
- Lesson 20: Correlation and Key Finding
- Lesson 21: Autocorrelation
- Lesson 21: Intro Pandas Dataframes
- Lesson 22: Data Science 2
- Lesson 22: Statistical Modeling
- Lesson 25: Data Science 3