BME 380 Signals and Systems
SIGNALS AND SYSTEMS (3). This course develops the mathematical foundation and computational tools for processing continuous and discrete-time signals in both time and frequency domain. Key concepts and tools introduced and discussed in this class include linear time-invariant systems, impulse response, frequency response, convolution, filtering, sampling and Fourier transform. The course provides background to a wide range of applications including speech, image and multimedia processing, bio and medical imaging, sensor networks, communication systems and control systems. Prerequisites:
BME 370 or consent of instructor.