Signals and Systems (1.2 CEUs)

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This course divided into two sessions each session will be for 6 hours in duration.
It will be held on Dec 01&02, 2026.
This course will be offered in 2027 on the following dates: Mar 15&16 - Dec 1&2.
Note: If you register and are unable to attend, access to a recording of the session will be provided. There is a no cancellation policy.

 

Course Description

 

Signal and system model and classification. Continuous time signals. Signals and vectors. Generalized Fourier series representation. Amplitude and phase spectra of signals. Energy and power content of signals. Bandwidth of signals. The Fourier transform and its applications. Sampling of signals. Convolution of signals. Power and energy spectral densities. Correlation functions. Time-domain analysis of continuous time systems. The system impulse response. Communication channels. Filters: LPF, HPF and BPF. Discrete time signals. The discrete Fourier transform (DFT) and the Fast Fourier transform (FFT). Spectral analysis of DFT systems. Unit sample response and response to arbitrary input sequences. Introduction to the Ztransform. Project.
 
 
Objective
 
The overall objective is to introduce the student to the basics of signal analysis in time and frequency domains. The concepts of Fourier series and transform and power and energy spectra are emphasized. In addition, linear time-invariant systems are analyzed using the impulse response and transfer functions.
 
Target Audience
Engineers who want to equivalent his/her degree in any country
 
Learning Objectives
 Upon successful completion of this course, a student will:
  1. Be able to classify signals and systems into continuous-time and discrete-time types. 

  2. Use Fourier series and Fourier transform to evaluate and sketch line, density, power, and energy spectra of signals. 

  3. Understand and select appropriate filters and communication channels suitable for signal processing and transmission. 

  4. Convert analog signals into discrete/digital signals and vice versa. 

  5. Apply Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT) for the analysis of signals and systems. 

Dr.Hasan Farahneh

Dr. Hasan Farahneh, PhD in Electrical and Computer Engineering, is currently an Assistant Professor at JU.
He brings over 16 years of industry experience, having contributed to major projects with leading companies in the field.
Dr. Farahneh has an extensive record of accomplishments, including successful implementation of large-scale engineering initiatives and innovative research in electrical and computer engineering. He has published more than 40 articles in reputable journals and books, reflecting  his significant contributions to both academia and industry.                                                                                                                                                                                                                                                                                                                                      

Signals and Systems Topics

  • Classification of signals and systems into continuous-time and discrete-time

  • Characteristics of continuous-time signals: even, odd, periodic, aperiodic, etc.

  • Properties of continuous-time systems: stability, linearity, etc.

  • Impulse representation of continuous-time signals

  • Convolution and its properties

  • Properties of Linear Time-Invariant (LTI) systems

  • Impulse response of LTI systems

  • Fourier series representations of periodic signals:

    • Generalized

    • Complex exponential

    • Trigonometric

  • Frequency spectra and properties of Fourier series

  • Fourier transform and its properties:

    • Linearity, time scaling, time shifting, duality

    • Convolution, frequency shifting, differentiation, integration

  • Signal bandwidth, power spectra, and energy spectra

  • Applications of Fourier transform in signal analysis

  • Ideal and practical filters for signal processing

  • Conversion between analog and discrete/digital signals

  • Discrete-time signals and Discrete-Time Fourier Transform (DTFT)

  • Fast Fourier Transform (FFT) for signal and system analysis

  • Introduction to the z-transform

TLNT reserves the right to cancel or change the date or location of its events. TLNT's responsibility will, under no circumstances, exceed the amount of the fee collected. TLNT is not responsible for the purchase of non-refundable travel arrangements or accommodations or the cancellation/change fees associated with cancelling them. Please call to confirm that the course is running before confirming travel arrangements and accommodations. Please click here for complete policies.

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