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References: Introduction to Signals and Systems

  1. Signal processing - Wikipedia - Surveys signal representations, analog and digital processing, filtering, sampling, and major application areas that frame the chapter.

  2. Signal (electrical engineering) - Wikipedia - Explains continuous and discrete signals, periodicity, energy, power, amplitude, frequency, and other classifications introduced here.

  3. Systems theory - Wikipedia - Introduces systems as interconnected transformations and provides broader context for inputs, outputs, models, and system behavior.

  4. Signals and Systems (2nd Edition) - Alan V. Oppenheim, Alan S. Willsky, and S. Hamid Nawab - Prentice Hall - Oppenheim’s coordinated treatment of continuous- and discrete-time examples made their common structures unusually clear.

  5. Signals and Systems Using MATLAB (3rd Edition) - Luis F. Chaparro and Aydin Akan - Academic Press - Chaparro’s computational visualizations connect abstract signal classifications and transformations to reproducible numerical experiments.

  6. Signals and Systems - MIT OpenCourseWare - Video lectures, notes, problems, and demonstrations introduce signal types, elementary operations, system models, and time-domain representations.

  7. Signals and Systems - Engineering LibreTexts - Open, interactive chapters explain signal classifications, transformations, elementary functions, and systems in continuous and discrete time.

  8. DSP 101 Part 1 - Analog Devices - Relates real-world analog signals to sampling, digital representation, processing systems, and practical FIR and IIR examples.

  9. SciPy Signal Processing Tutorial - SciPy - Demonstrates how sampled signals become arrays and how common system operations are implemented computationally in Python.

  10. Introduction to Audio - Fastaudio - Uses waveforms, amplitude, sampling, and spectrograms to make core signal terminology concrete through audio examples.