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Signal Representation
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Related lectures (57)
Data Compression: Sparse Signals and Data Recording
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Explores data compression through signal sparsity, questioning the need for recording vast amounts of data.
Harmonic Forms and Riemann Surfaces
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Explores harmonic forms on Riemann surfaces, covering uniqueness of solutions and the Riemann bilinear identity.
Introduction to Electronics: Basics and Components
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Introduces the basics of electronics, covering signal treatment, components like resistors and transistors.
Binary Spiked Matrix Estimation
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Explores binary spiked matrix estimation, analyzing consistent equations and Bayesian estimators.
Iono-free ambiguity fixing
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Explains iono-free ambiguity fixing in GPS technology for precise positioning and its historical development from 1997 to 2005.
Signal Processing: Basic Definitions and Properties
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Explores basic signal definitions, properties, and digital signal processing techniques.
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.
Signals & Systems I: Rectangular & Triangular Signals
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Explores periodic and non-periodic rectangular and triangular signals, along with 'b-spline' functions and their properties.
Wireless Receivers: Parameter Estimation
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Covers the challenges and techniques of parameter estimation in wireless receivers.
Signal Processing: Image Restoration and Linear Prediction
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Explores image restoration and signal prediction using linear filters in signal processing.
Stochastic Models for Communications: Continuous-Time Stochastic Processes
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Explores continuous-time stochastic processes in communication systems.
Measurement Techniques: Practical and Theoretical Insights
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Outlines the ME-301 course on measurement techniques, focusing on theoretical principles and practical applications in engineering experiments.
Wireless Receivers: Time and Phase Offset Compensation
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Covers the impact of time and phase offset in wireless receivers and discusses compensation techniques.
Signals, Instruments, and Systems
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Covers embedded systems, power management, communication methods, and field instruments.
Harmonic Signals and Spectrum Estimation
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Explores harmonic signals, spectrum estimation, and signal analysis methods using MATLAB tools.
Introduction to Sampling
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Covers the concept of sampling, the sampling theorem, signal reconstruction, and the conversion of analogue signals to digital signals.
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.
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