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Stochastic Models for Communications
Covers stochastic models for communication systems, including concepts like stochastic processes and Markov chains.
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Markov Chains: State Classification
Covers the classification of states in Markov chains.
Spectral Theorem: Min-Max Criterion
Explores the Spectral Theorem, emphasizing the Min-Max Criterion for symmetric matrices and the properties of positive definite matrices.
Markov Chains: Ergodic Chains Examples
Covers stochastic models for communications, focusing on discrete-time Markov chains.
Signal Representation
Covers the representation of signals and signal norms in signal processing.
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