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Lecture
Narrow & Spread Spectrum Communications
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Related lectures (32)
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Spectral Estimation Methods
Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.
Parametric Signal Models: Matlab Practice
Covers parametric signal models and practical Matlab applications for Markov chains and AutoRegressive processes.
Harmonic Signals and Spectrum Estimation
Explores harmonic signals, spectrum estimation, and signal analysis methods using MATLAB tools.
Statistical Signal Processing Tools
Explores statistical signal processing tools for wireless communications, including spectral estimation and signal detection, classification, and adaptive filtering.
Gaussian Mixture Models: Data Classification
Explores denoising signals with Gaussian mixture models and EM algorithm, EMG signal analysis, and image segmentation using Markovian models.
Causal Systems & Transforms: Delay Operator Interpretation
Covers z Variable as a Delay Operator, realizable systems, probability theory, stochastic processes, and Hilbert Spaces.
Signal Processing Fundamentals
Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.
Noise Reduction Techniques in Analog Circuits
Explores noise and offset reduction techniques in analog circuits, focusing on Autozero and Chopper Stabilization.
Signals and Systems: Sampling Theorem and Applications
Discusses the sampling theorem and its applications in signal processing.
Wireless Channel: Modulation and Noise
Explores wireless modulation, noise effects, multipath propagation, and channel characteristics in wireless communication.