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Lecture
An Introduction to Signal Processing
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Related lectures (28)
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Signals and Systems: Sampling Theorem and Applications
Discusses the sampling theorem and its applications in signal processing.
Signals & Systems I: Introduction and Signal Processing
Covers introductory lessons on signals and systems, signal processing, and practical applications like image compression and multimedia.
Filtering and Sampling of Signals
Explores filtering signals with a moving average filter and the process of sampling, emphasizing the importance of signal reconstruction from samples.
Signal Processing: Basic Definitions and Signal Typology
Covers the basic definitions and typology of signals, including analog and digital signals.
Signals & Systems I: Micro-Systems and Communication Systems
Introduces the fundamentals of signals and systems, communication systems, and signal processing.
Signals & Systems I: Introduction to Communication Systems
Covers the basics of signals and systems in communication, including modulation, medical imaging, Fourier analysis, and biological systems.
Sampling and Reconstruction Theory
Covers the concepts of analog, discrete, and digital signals, sampling times, frequencies, and pulses.
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.
FPGA Programming with Speedgoat: Real-Time Signal Processing
Focuses on implementing a square function generator using Speedgoat FPGA technology and real-time signal processing techniques.
Smart Sensors for the IoT: ADCs Fundamentals
Explores ADCs fundamentals for IoT smart sensors, covering quantization, non-idealities, and topologies.
