Introduction: Signals Typology

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Explores analog and digital signal processing, A/D and D/A conversion, resolution, settling time, and digital interfaces in electronic circuits.

Analog-Digital Conversion: Principles and Implementations

Explores analog-digital conversion principles, quantization, and converter implementations, emphasizing speed, precision, and energy efficiency.

Signals and Systems: Sampling Theorem and Applications

Discusses the sampling theorem and its applications in signal processing.

Analog-Digital & Digital-Analog Converters

Covers Analog-Digital and Digital-Analog conversion, including sampling, quantization, Flash converter, weighted current generation, and R2R network.

Analog-to-Digital Conversion: Flash Converter and Weighted Currents

Explores analog-to-digital conversion using flash converters and weighted currents.

Smart Sensors for the IoT: ADCs Fundamentals

Explores ADCs fundamentals for IoT smart sensors, covering quantization, non-idealities, and topologies.

Graphical Convolution

Covers the graphical convolution method for discrete-time signals and explains the continuous-time convolution with examples.

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.

Signal Processing: Sampling and Reconstruction

Covers Fourier transform, sampling, reconstruction, Nyquist frequency, and ideal signal reconstruction.

Principles of Digital Communication

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