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Related lectures (13)

Covers stochastic models for communication systems, including concepts like stochastic processes and Markov chains.

Covers the classification of states in Markov chains.

Explores the Spectral Theorem, emphasizing the Min-Max Criterion for symmetric matrices and the properties of positive definite matrices.

Covers stochastic models for communications, focusing on discrete-time Markov chains.

Covers the representation of signals and signal norms in signal processing.

Delves into sexual conflicts between genders from an evolutionary standpoint, covering topics such as jealousy, infidelity, and partner retention.

Discusses signal representation, focusing on mathematical expressions and inequalities in signal processing.

Covers high order methods for space discretisation in linear differential systems.

Covers solving equations over complex numbers, sequences, induction, and properties of complex numbers.

Explores discrete-time Markov chains, emphasizing first passage time probabilities and minimal solutions.

Explores Markov chains' properties, hitting time, and Stirling's formula approximation.

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