Paolo Prandoni

COM-303

Python3

Interactive textbook

English

This notebook guides students through the process of building a DTMF decoder using the short-time Fourier transform. Students will learn to implement both encoding and decoding of DTMF signals, understand signal segmentation, and identify frequency peaks using the Discrete Fourier Transform. By the end, students will be able to decode DTMF tones and understand the challenges of noise in signal processing.

Paolo Prandoni

COM-303

Python3

Interactive textbook

English

This notebook explores various algorithms for transforming voice signals, focusing on real-time implementation with minimal latency. Students will learn about sinusoidal modulation, granular synthesis, and pitch shifting techniques, and understand how to modify digital audio signals to change pitch and timbre.

Paolo Prandoni

COM-303

Python3

Exercise worksheets

English

This notebook provides an in-depth exploration of FIR filter implementations, focusing on both real-time and offline methods. Students will learn about the convolution process, border effects, and the use of FFT for efficient computation. By the end, they will understand how to implement FIR filters in Python and handle various edge cases.

Paolo Prandoni

COM-303

Python3

Interactive textbook

English

This notebook explores the digital simulation of the guitar feedback sound from The Beatles' song 'I Feel Fine'. Students will learn about the mechanics of guitar feedback, guitar and amplifier modeling, and signal processing techniques such as comb filtering and saturation. By the end, students will understand how to digitally recreate the iconic sound using Python and signal processing libraries.

Paolo Prandoni

COM-303

Python3

Interactive textbook

English

This notebook demonstrates the use of an adaptive LMS filter to estimate the impulse response of a reverberating room, a common challenge in handsfree telephony. Students will learn to implement echo filters and LMS algorithms to address feedback loops in audio signals. By the end, they will understand how to apply these techniques to improve audio signal quality.

Paolo Prandoni

COM-303

Python3

Interactive textbook

English

This notebook explores the impact of phase on the perceptual quality of sound. Through experiments with synthesized and real-world audio, students will understand how phase affects temporal aspects of sound but not sustained sounds. Key methods include Fourier Transform and phase manipulation.

Paolo Prandoni

COM-303

Python3

Interactive textbook

English

This notebook explores the modeling of epidemic propagation using signal processing techniques. Students will learn about the basic reproduction number, recursive filters, and logistic functions to understand the spread of diseases like COVID-19. By the end, students will understand how to simulate epidemic scenarios and the impact of social distancing using Python.

Paolo Prandoni

COM-303

Python3

Interactive textbook

English

This notebook explores the concepts of quantization and oversampling by revisiting early sound effects in video games and home computers. Students will learn about monophonic square waves, polyphony through pulse-width modulation, and sigma-delta quantization. The notebook includes practical exercises with Python code to generate and analyze sound waves.

Paolo Prandoni

COM-303

Python3

Interactive textbook

English

This notebook explores numerical precision issues in computing the Discrete Fourier Transform (DFT), comparing the naive computation method with the Fast Fourier Transform (FFT) algorithm. Students will understand the impact of numerical errors on DFT calculations and how FFT improves precision and efficiency.

Paolo Prandoni

COM-303

Python3

Interactive textbook

English

This notebook guides students through implementing a fractional resampler using local Lagrange interpolation. Students will learn how to perform rational sampling rate changes and understand the mathematical principles behind resampling, including Euclid's algorithm for simplifying ratios. By the end, students will be able to apply these techniques to audio signals and observe the effects of aliasing.