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Courses

  • Introduction To Digital Signal Processing (20139)
    • תקציר הקורס:

    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.
  • Digital Signal Processing (20315)
  • Random Signal Processing (20337)
  • Fundamentals Of Speech Processing (20339)
    • תקציר הקורס:

    Abstract:

    This course will provide the students the foundations pathogenesis voice communication; Description of existing problems of speech recognition, an explanation of the phonetic units and their description in the time domain and frequency; speech signal analysis and extraction characteristics; Description Tools for building speech recognition systems, based distance measure, and statistical methods.