Communication Channels: Gaussian Noise and Capacity

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Explores encoding and decoding techniques in communication systems, focusing on fundamental limits and mutual information computations.

Covers White Gaussian Noise in communication systems and its impact on signal transmission.

Explores Poisson processes in communication systems, focusing on photodetectors and signal-to-noise ratio calculations.

Covers parametric signal models and practical Matlab applications for Markov chains and AutoRegressive processes.

Explores signal transmission, noise impact, and error probability calculations in communication systems.

Explores noise in electronics, covering average power, signal-to-noise ratio, deterministic and random signals, and noise amplification.

Covers the design of passband communications and the use of recipies and complex-valued signals.

Covers projection, rotation, white Gaussian noise, and waveform observation in linear algebra.

Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.

Explores noise in optical receivers, covering shot noise, thermal noise, signal-to-noise ratio, and noise limits.