Digital Signal Processing (DSP) is the core technology behind today’s noise and vibration testing. The techniques used and the associated assumptions along with their strengths and weaknesses will be presented in lecture format, and then re-enforced through active participation of the attendees.
This course presents a hands-on approach to understanding the key elements of digital signal processing which relate to noise and vibration testing. The first part of the course is intended as an introduction or review of Digital Signal Processing for engineers and technicians active in NVH. The rest of the course will focus on state-of-the-art topics and explore the latest and most advanced aspects of digital signal processing.
This course is taught by a university professor knowledgeable in the field. Siemens Simcenter Testlab software products and Siemens Simcenter Scadas data acquisition systems are used to demonstrate principals learned. This course will be taught by Dr. Jason Blough, a professor in the Mechanical Engineering—Engineering Mechanics department at Michigan Technological University.
This seminar is intended for engineers and technicians that want to gain a profound insight in practical aspects and the theories behind the use of data acquisition systems and Fourier analyzers. They will also learn about more advanced time and frequency domain processing techniques.