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Practical Engineering: Signal Processing and Sound Synthesis
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Signals & Systems I: Introduction and Signal Processing
Covers introductory lessons on signals and systems, signal processing, and practical applications like image compression and multimedia.
Introduction to Signals and Filters
Covers the conversion of analog signals to digital, data compression, and signal reconstruction, highlighting the significance of signal processing in communication systems.
Estimation and Linear Prediction - Part 2
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Covers neural signals, brain enthusiasm, neuroimaging, and statistical analysis in neuroimaging studies.
Signals & Systems I: Micro-Systems and Communication Systems
Introduces the fundamentals of signals and systems, communication systems, and signal processing.
The Frequency Domain
Explores expressing signals in sinusoidal components and decomposing signals into different frequencies in the frequency domain.
Fourier Series: Convergence and Dirichlet Theorem
Covers Fourier series convergence, Dirichlet theorem, and applications in signal processing.
Signal Processing: Basic Definitions and Signal Typology
Covers the basic definitions and typology of signals, including analog and digital signals.
Adaptive Denoising: Echo Cancellation
Explores adaptive denoising techniques, emphasizing echo cancellation and the need for real-time adaptive filters.
An Introduction to Signal Processing
Covers the fundamentals of signal processing, analog-digital conversion, and applications of ADCs and DACs in environmental engineering.
