Akademik Dersler - İçerik

Will be able to classify systems mathematically, primarily linear and time independent.
Determines the "continuous time", "discrete-time", "causality", "linearity", "determination", "time independence" features of the systems.
Determines the output signal of any linear and time-independent system by any convolution method.
Will be able to separate time signals into frequency components.
Finds the Fourier series coefficients of the periodic signals and their corresponding frequencies.
Obtains the spectral representation by applying Fourier transform to non-periodic signals.
It will obtain frequency representations of the systems and establish their relations with signal components.
Finds the response of discrete and continuous time systems to frequency components.
Finds the response of a system to the input signal by the product in the axis axis.
Establishes the relationship between the product on the axis of axis and the convolution on the axis of time.
Performs spectral characterization (low pass, high pass, etc.) by observing the responses of the systems to different frequency components.
will apply the conditions and methods for sampling continuous time signals.
Determines the lowest sampling frequency in bandwidth of the signal.
Defines the frequency behavior of the sampled signal and the corresponding system.