energy resources

Estimation of Signals and Systems

Course Description

This Course covers the fundamentals of signal and system analysis, focusing on representations of discrete-time and continuous-time signals (singularity functions, complex exponentials and geometrics, Fourier representations, Laplace and Z transforms, sampling) and representations of linear, time-invariant systems (difference and differential equations, block diagrams, system functions, poles and zeros, convolution, impulse and step responses, frequency responses). Applications are drawn broadly from engineering and physics, including feedback and control, communications, and signal processing.

Course Objective

This course covers lessons on probability theory,random variables,mean and variance,linear signal models,Z-transform,kalman filter,variants of LSE and estimation problems in instrumentation and control.

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