Courses
- Introduction To Random Processes (20117) תקציר הקורס:
- Introduction To Signals And Systems (20138) תקציר הקורס:
- Introduction To Digital Signal Processing (20139) תקציר הקורס:
- Introduction To Electro–Optical Engineering (20343) תקציר הקורס:
Abstract:
Familiarity with random processes and their func tion in electrical engineering.
The course subjects include: probability theory and Bayes' law, random variables, distribution func tion and density func tions, moments and characteristic func tions, func tions of multiple random variables, random processes, stationarity and ergodicity,
autocorrelation and cross-correlation, power spectrum, passage of stationary random processes through LTI systems, Gaussian processes, narrow band processes, maximization criteria for signal to noise ratio, matched filter, filtering, prediction and estimation using minimum mean square error, Wiener filter, Markov process.Abstract:
In this course an overview of different signals and systems characteristics
will be given. Mathematical methods in order of analyzing and processing
signals will be developed. Signals are analyzed in continuous and discrete linear systems.
Signal processing is performed in the time domain and in frequency domain.
In addition, MATLAB simulations are performed, in order to illustrate and implement the topics covered in the course.Abstract:
The main objective of the course is to acquire basic tools and
capabilities to analyze, characterize and design of digital signals and linear systems.
Course topics: Mathematical background, basis in the discrete time domain, LTI systems in time domain, Discrete Fourier Transform (DFT), Discrete Time Fourier Transform (DTFT), LTI systems in the frequency domain, Bode’ curves, Z Transform and LTI systems in the Z Domain, poles and zeros map, basic methods for systems implementation, STFT, zero padding, windows, design of FIR linear phase filters.