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Related lectures (32)

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Project-Based Learning in Communications and Robotics

Introduces a project-based course in communications and robotics, emphasizing practical projects and independent learning to prepare students for real-world challenges.

Sampling Theorem: Illustration

Explores the sampling theorem through sinusoid reconstruction, under-sampling effects, and signal filtering importance.

EMG: figures propagation

Covers the process of EMG data analysis and signal inversion for further analysis.

Transition to/from Continuous Time Signals and Passband Modulation - Part 2

Covers direct conversion receivers, down-conversion, matched filters, and receiver architectures in wireless communication systems.

ECG: HR Variability Figures

Explores heart rate variability analysis using ECG data and its physiological significance.

Signals, Instruments, and Systems

Covers embedded systems, power management, communication methods, and field instruments.

Digital Filters: Structure and Implementation

Explores digital filters, their implementation, characteristics, and realizations, with examples for illustration.

Sampling and Reconstruction

Covers the concepts of sampling and reconstruction in signal processing, explaining the conditions for accurate reconstruction.

Principles of Digital Communication

Covers the principles of digital communication, focusing on the Nyquist Sampling Theorem and signal space dimension.

Fourier Transform and Sampling

Covers the Fourier transform of sampled signals, reconstruction, and harmonic response.