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ABOUT THE COURSE:
Most importantly, this course reviews fundamentals of 1-D signals and systems, sampling theory, 1-D Fourier analysis, Z-transform, and Digital filter designs. Along with the 1-D signal processing, this course introduces fundamentals of 2-D signals, Characterization of LTI/LSI systems, 2-D DFT, 2-D DCT, 2-D FFT, 2-D FIR and IIR filters. Further, Image processing basics with Image enhancement, restoration, segmentation, and Image coding/compression will also be covered. Furthermore, simulation of 2-D signal processing in MATLAB/Simulink environment, real-time image processing with NI LabVIEW Vision development module and compact reconfigurable input output (cRIO) modules will be taught in this course. This course also includes FPGA implementation of image capturing and processing.
INTENDED AUDIENCE: UG (final year), PG and PhD students
PREREQUISITES: Signals and Systems, Digital Signal Processing, Discrete Time Signal Processing
INDUSTRY SUPPORT: Qualcomm, Texas Instruments, Intel Corporation
Most importantly, this course reviews fundamentals of 1-D signals and systems, sampling theory, 1-D Fourier analysis, Z-transform, and Digital filter designs. Along with the 1-D signal processing, this course introduces fundamentals of 2-D signals, Characterization of LTI/LSI systems, 2-D DFT, 2-D DCT, 2-D FFT, 2-D FIR and IIR filters. Further, Image processing basics with Image enhancement, restoration, segmentation, and Image coding/compression will also be covered. Furthermore, simulation of 2-D signal processing in MATLAB/Simulink environment, real-time image processing with NI LabVIEW Vision development module and compact reconfigurable input output (cRIO) modules will be taught in this course. This course also includes FPGA implementation of image capturing and processing.
INTENDED AUDIENCE: UG (final year), PG and PhD students
PREREQUISITES: Signals and Systems, Digital Signal Processing, Discrete Time Signal Processing
INDUSTRY SUPPORT: Qualcomm, Texas Instruments, Intel Corporation
