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Frequency Search Principles
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Related lectures (32)
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Signal Processing Fundamentals
Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.
Signal Processing: Correlation and Spectral Density
Delves into correlation and spectral density of signals, explaining their significance and applications.
Ultrasonic Distance Sensor
Explores ultrasonic distance sensors, cross-correlation for error reduction, and Doppler sensors for flow measurement.
Stochastic Processes and Spectral Densities
Covers spectral densities, signal correlations, and white noise processes in stochastic systems.
Neural Signals and Signal Processing
Explores neural signals, EMG control, muscle synergies, and HD-EMG for prosthetic devices.
Properties of Time-Frequency Domain Signals
Covers the main properties of time-frequency domain signals and their limitations.
Harmonic Signals and Spectrum Estimation
Explores harmonic signals, spectrum estimation, and signal analysis methods using MATLAB tools.
Neural Signals and Signal Processing
Delves into neural signals, GLM, ANOVA, brain mapping, connectivity, and multivariate methods.
Air Pollution: Correlation Analysis
Covers correlation and cross-correlations in air pollution data analysis, including time series, autocorrelations, Fourier analysis, and power spectrum.
Fast Fourier Transform: Basics and Applications
Explores the Fast Fourier Transform algorithm for efficient signal processing applications, including dividing signals and analyzing complexity.
