Lectures:
Introduction of audio processing especially in control systems. Specification of studied problems with mathematical description and graphical expression of the basics of audio signal processing.
Audio signal capture and concersion, A / D , D / A converters. Methods of audio signal preprocessing and principles of audio signal digitization.
Methodology and methods of audio signal propagation. Physical interpretation of the audio signal.
Frequency analysis of audio signals. Discrete Fourier Transform, Fourier Transform properties in audio signal processing based on frequency transformation.
Audio signal synthesis. Methods of audio signal generation and audio signal processing.
Processing methodology and methods of speech recognition from the audio signal.
Fundamentals of image signal processing especially in control systems. Specification of studied problems with mathematical description and graphical expression of the basics of image signal processing. Image signal capture, video signal transfer.
Image signal preprocessing methods and principles of image signal digitization.
Geometric and luminance transformation of the video signal. Methods of realizing the transformation of the video signal. Methodology and types of histograms.
Frequency transformation of video signals. Discrete Fourier Transform, Fourier Transform properties.
Principles of convolution, video signal filtration. Edge detection methods from Image Signal. Morphological operations of the video signal.
Video signal segmentation, threshold image methodology.
Methodology for recognizing objects from a video signal. Object image tracking.
Methods and individual types of audio and video signal compression.
Exercises:
Introductory of laboratory exercises with principles of audio signal processing in control systems. Definition of the studied subject.
Audio signal capture, A / D audio conversion implementation, D / A converters.
Implementation and ways of audio signal propagation using instrumentation and mathematical software.
Implementation of frequency analysis of audio signals. Discrete Fourier Transform, Fourier Transform properties in audio signal processing based on frequency transformation.
Audio signal synthesis. Audio signals generation and audio signal processing.
Implementation of methods for speech recognition using audio instrumentation and mathematical software.
Video signal implementation and processing with mathematical description and graphic representation of the basics of image signal processing.
Image signal capture, video signal transfer. Implementation of image signal preprocessing methods and image signal digitization.
Implementation of geometric and luminous transformation of the video signal. Implementation of image signal transformation. Histograms.
Implementation of frequency transformation of video signals. Discrete Fourier Transform.
Convolution implementation, video signal filtering. Detection of edges from image signal and morphological image signal operations using instrumentation and mathematical software.
Video signal segmentation, threshold image detection.
Recognizing objects from the video signal. Object image tracking.
Final laboratory test.
Introduction of audio processing especially in control systems. Specification of studied problems with mathematical description and graphical expression of the basics of audio signal processing.
Audio signal capture and concersion, A / D , D / A converters. Methods of audio signal preprocessing and principles of audio signal digitization.
Methodology and methods of audio signal propagation. Physical interpretation of the audio signal.
Frequency analysis of audio signals. Discrete Fourier Transform, Fourier Transform properties in audio signal processing based on frequency transformation.
Audio signal synthesis. Methods of audio signal generation and audio signal processing.
Processing methodology and methods of speech recognition from the audio signal.
Fundamentals of image signal processing especially in control systems. Specification of studied problems with mathematical description and graphical expression of the basics of image signal processing. Image signal capture, video signal transfer.
Image signal preprocessing methods and principles of image signal digitization.
Geometric and luminance transformation of the video signal. Methods of realizing the transformation of the video signal. Methodology and types of histograms.
Frequency transformation of video signals. Discrete Fourier Transform, Fourier Transform properties.
Principles of convolution, video signal filtration. Edge detection methods from Image Signal. Morphological operations of the video signal.
Video signal segmentation, threshold image methodology.
Methodology for recognizing objects from a video signal. Object image tracking.
Methods and individual types of audio and video signal compression.
Exercises:
Introductory of laboratory exercises with principles of audio signal processing in control systems. Definition of the studied subject.
Audio signal capture, A / D audio conversion implementation, D / A converters.
Implementation and ways of audio signal propagation using instrumentation and mathematical software.
Implementation of frequency analysis of audio signals. Discrete Fourier Transform, Fourier Transform properties in audio signal processing based on frequency transformation.
Audio signal synthesis. Audio signals generation and audio signal processing.
Implementation of methods for speech recognition using audio instrumentation and mathematical software.
Video signal implementation and processing with mathematical description and graphic representation of the basics of image signal processing.
Image signal capture, video signal transfer. Implementation of image signal preprocessing methods and image signal digitization.
Implementation of geometric and luminous transformation of the video signal. Implementation of image signal transformation. Histograms.
Implementation of frequency transformation of video signals. Discrete Fourier Transform.
Convolution implementation, video signal filtering. Detection of edges from image signal and morphological image signal operations using instrumentation and mathematical software.
Video signal segmentation, threshold image detection.
Recognizing objects from the video signal. Object image tracking.
Final laboratory test.