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Graphical Convolution
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Related lectures (40)
An Introduction to Signal Processing
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Covers the fundamentals of signal processing, analog-digital conversion, and applications of ADCs and DACs in environmental engineering.
Psychoacoustics and Signal Processing
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Explores psychoacoustics, signal processing, and the brain's interpretation of sound frequencies, covering topics like the Missing Fundamental phenomenon and the inner workings of the cochlea.
Signal Processing Fundamentals
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Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.
Continuous-time Fourier Transform
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Covers the continuous-time Fourier transform, its properties, and applications to stable LTI systems.
Fourier Transform Pairs and System Analysis
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Covers Fourier transform pairs, system analysis with difference equations, and frequency response.
Fourier Transform: Basics and Examples
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Explains the basics of Fourier transform and demonstrates its application through examples, including periodic functions and Fourier Transform Pairs.
Estimation and Linear Prediction - Part 2
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Explores power spectral density, Wiener-Khintchine theorem, ergodicity, and correlation estimation in random signals for signal processing.
Discrete-Time Fourier Transform: Properties
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Explores the properties of Discrete-Time Fourier Transform, including linearity, time and frequency shifts, time reversal, and convolution.
Discrete Signals and Linear Systems
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Explores discrete signals, linear systems, categorization examples, and convolution properties in signal processing.
Fourier Transform of Digital Rectangular Window
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Explains the simplification of exponential terms to sinusoidal functions for Fourier transform.
Frequency Estimation: Deterministic Signals with Low Noise Level
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Explores frequency estimation in deterministic signals using the DFT and spectral resolution.
IQ Demodulation: FPGA and MATLAB
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Explores IQ demodulation using FPGA and MATLAB for noisy quantum signals.
Continuous-Time Stochastic Processes: Linear System
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Covers the analysis of continuous-time stochastic processes in the context of linear systems.
Statistical Signal & Data Processing
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Explores Statistical Signal & Data Processing fundamentals, tools, and applications in various fields.
Neural Signals and Signal Processing
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Explores neural signal modeling, nervous system structure, and fiber classification for understanding neural phenomena.
Radar and Communications Technologies: Applications and Challenges
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Covers radar and communication technologies, focusing on their applications in sensing and the challenges faced in modern wireless communications.
Fourier Transform: Problem Solving
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Covers solutions to a sample midterm, focusing on Fourier transform problems and system interconnections.
Neural Recording Techniques and Systems
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Explores neural recording techniques, systems, amplifiers, and high-value resistor integration for low-power optimization.
Noise Formalism in Photodetectors: Understanding Detection Limits
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Discusses the formalism of noise in photodetectors, focusing on detection limits and the relationship between input power and output current.
Signals & Systems I: Cross-Correlation and Convolution
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Explores cross-correlation, signal detection, Hilbert spaces, orthogonal approximation, and image compression using DCT.
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