Signals & Systems II: Stationary Signals and Spectral Density

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Explores statistical signal processing tools for wireless communications, including spectral estimation and frequency modeling.

Continuous-Time Stochastic Processes: Power Spectral Density

Covers the concept of power spectral density in continuous-time stochastic processes.

Statistical Signal Processing for Wireless Communications

Covers statistical signal processing tools for wireless communications, focusing on signals like train of pulses, harmonic signals, and smooth spectrum signals.

Noise in Devices and Circuits

Explores different types of noise in devices and circuits, including interference noise, inherent noise, and random signals.

Multivariate Time Series and Spectral Representation

Explores multivariate time series analysis, emphasizing spectral representation and estimation methods.

Linear Estimation & Prediction: Models & Methods

Explores linear estimation and prediction in AR parametric models, focusing on Yule Walker equations and Wiener filter.

Signal Processing: Basics and Spectral Analysis

Covers the basics of signal processing, linear estimation, and digital filters.

Parametric Signal Models: Matlab Practice

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

Signals and Systems I: Fourier Transform and Spectral Analysis

Explores Fourier series, energy calculation, functional spaces, correlation spectra, and spectral density in signals and systems.

Spectral Density and Cross Power Signals

Covers spectral density, cross power signals, stationarity, and Gaussian processes.