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Signals, Instruments, and Systems
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Related lectures (54)
Electrical Networks: Stability and Phenomena
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Explores electrical network stability, phenomena, components, and financial impacts.
Bioelectronics and Biomedical Microsystems
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Covers bioelectricity, electrodes, microelectronics, signal processing, and implantable systems.
Signal Processing: Correlation and Spectral Density
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Delves into correlation and spectral density of signals, explaining their significance and applications.
Signals & Systems I: Introduction and Signal Processing
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Covers introductory lessons on signals and systems, signal processing, and practical applications like image compression and multimedia.
Signal Processing: Basic Definitions and Properties
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Explores basic signal definitions, properties, and digital signal processing techniques.
Region of Convergence (ROC)
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Explains the concept of Region of Convergence (ROC) in signal processing with a focus on single real-valued poles and convergence criteria.
Digital Signal Processors: Architecture and Applications
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Covers the architecture and applications of digital signal processors in embedded systems.
Fourier Transform: Motivating Formula
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Covers the motivation behind the Fourier transform formula, explaining the process step by step.
Signal Processing & Micro-Systems
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Covers examples of signal processing, analog signal processing, continuous amplitude modulation, image processing, compression, micro-systems, and medical electronics.
Active Pixel Sensors: Concepts and Applications
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Covers the principles and applications of Active Pixel Sensors in CMOS cameras.
Sampling: DT-time processing of CT signals
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Covers the importance of sampling in signal processing, including the sampling theorem and signal reconstruction.
Spectral Estimation Methods
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Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.
Fourier Transform and Convolution Product in Signal Processing
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Explores the Fourier transform, convolution product, and their applications in signal processing.
Signal Processing: Image Restoration and Linear Prediction
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Explores image restoration and signal prediction using linear filters in signal processing.
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