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Signal & Image Processing And Analysis For Scientists And Engineers


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Summary:

    Technical Training Short On Site Course Quote Whether working in the scientific, medical, security, or NDT field, signal and image processing and analysis play a critical role. This three-day course is deŽsigned is designed for engineers, scientists, technicians, implementers, and managers in those fields who need to understand applied basic and advanced methods of signal and image processing and analysis techniques. The course provides a jump start for utilizing these methods in any application.

    Singal Image Processing
    View Course Sampler      Read Recent Student Testimonials

    Tuition:

    What You Will Learn:

    • Terminology, definitions, and concepts related to basic and advanced signal and image processing
    • Conceptual examples
    • Case histories where these methods have proven applicable
    • Methods are exhibited using live computerized demonstrations
    • All of this will allow a better understanding of how and when to apply processing methods in practice
    From this course you will obtain the knowledge and ability to perform basic and advanced signal and image processing and analysis that can be applied to many signal and image acquisition scenarios in order to improve and analyze signal and image data.

    Course Outline:

    1. Introduction. Basic Descriptions, Terminology, and Concepts Related to Signals, Imaging, and Processing for science and engineering. Analog and Digital. Data acquisition concepts. Sampling and Quantization.
    2. Signal Processing. Basic operations, Frequency-domain filtering, Wavelet filtering, Wavelet Decomposition and Reconstruction, Signal Deconvolution, Joint Time-Frequency Processing, Curve Fitting.
    3. Signal Analysis. Signal Parameter Extraction, Peak Detection, Signal Statistics, Joint Time – Frequency Analysis, Acoustic Emission analysis, Curve Fitting Parameter Extraction.
    4. Image Processing. Basic and Advanced Methods, Spatial frequency Filtering, Wavelet filtering, lookup tables, Kernel convolution/filtering (e.g. Sobel, Gradient, Median), Directional Filtering, Image Deconvolution, Wavelet Decomposition and Reconstruction, Edge Extraction,Thresholding, Colorization, Morphological Operations, Segmentation, B-scan display, Phased Array Display.
    5. Image Analysis. Region-of-interest Analysis, Line profiles, Edge Detection, Feature Selection and Measurement, Image Math, Logical Operators, Masks, Particle analysis, Image Series Reduction including Images Averaging, Principal Component Analysis, Derivative Images, Multi-surface Rendering, B-scan Analysis, Phased Array Analysis. Introduction to Classification.
    6. Integrated Signal and Image Processing and Analysis Software and algorithm strategies. The instructor will draw on his extensive experience to demonstrate how these methods can be combined and utilized in a post-processing software package. Software strategies including code and interface design concepts for versatile signal and image processing and analysis software development will be provided. These strategies are applicable for any language including LabVIEW, MATLAB, and IDL. Practical considerations and approaches will be emphasized.

    live comupter demostration

    
    
    Tuition:

      Tuition for this three-day course is $1740 per person at one of our scheduled public courses. Onsite pricing is available. Please call us at 410-956-8805 or send an email to ati@aticourses.com.

    Register Now Without Obligation

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