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Course Criteria
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4.00 Credits
Visual perception, image sensing and acquisition, image sampling and quantization, basic relationships between pixels. Basic intensity transformation functions, histogram processing, fundamental of spatial filtering, smoothing filters, sharpening filters, fuzzy techniques for intensity transformations and spatial filtering. Sampling and the Fourier transform, discrete Fourier transform of one and two variables, image smoothing using frequency domain filters, Image Sharpening using Fourier domain filters. Restoration in the presence of noise, periodic noise reduction by frequency domain filtering, estimating degradation function, inverse filtering, constrained least squares filtering, image reconstruction from projections. Multi-resolution expansions, wavelet transforms. erosion and dilatGray-scale morphology. Thresholding, region based segmentation, morphology watersheds.
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4.00 Credits
Physics and implementation of X-ray, ultrasonic, and MR imaging systems. Special attention given to the Fourier transform relations and reconstruction algorithms of X-ray and ultrasonic-computed tomography, and MRI.
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4.00 Credits
In this course students are introduced to the advanced concepts and principles of dynamic systems and linear control. The course emphasizes a state space approach. Topics covered include state-space models, modes, stability, controllability, observability, transfer function matrices, poles and zeros, and state feedback.
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4.00 Credits
Analysis and design of analog CMOS integrated circuits. MOS and bipolar device structures and models. Modern opamp design with noise, offset and distortion anaylsis, feedback, frequency compensation, and stability. Current mirrors and bandgap references. Sampling devices and structures. Switched-capacitor filters and other digital and digital-to-analog converters. Requires more advanced design projects and use of design aids or tools. Includes material on CAD tools for analog design including simulation and synthesis.
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4.00 Credits
Fundamentals of computational music including selected topics in modern music theory and music representation, encoding of music information by computers, musical sound representation and compression, automated music transcription, human-computer music interfaces and music informatics.
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4.00 Credits
Acoustics and Digital Signal Processing techniques applied to the analysis and synthesis of musical sound. Topics will include sampling, quantization and audio quality metrics, time-frequency analysis and sound representations, audio filter design and implementation, musical sound synthesis techniques including spectral-based synthesis and physical modeling - additional special topics based on class interests.
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4.00 Credits
Course will cover circuits and sensors used to measure physiological systems at an advanced level. Both signal conditioning and sensor characteristics will be addressed. Topics will include measurement of strain, pressure, flow, temperature, biopotentials, and physical circuit construction. The co-requisite laboratory will focus on the practical implementation of electronic devices for biomedical measurements.
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0.00 Credits
No course description available.
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4.00 Credits
This course teaches advanced Computer Vision algorithms such as face recognition, as well as advanced 1D DSP algorithms such as speech recognition. Realtime speech and image processing systems are implemented using the Xilinx Virtex 5 FPGA board as well as Windows C++ programming. The course has a strong practical implementation enphasis and students are required to develop complex projects using Xilinx DSP tools and Matlab in a Windows environment.
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0.00 Credits
No course description available.
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