Simcenter Testlab
Digital Signal Processing
Insight to improve your Test & Simulation processes

Course Code
TR-DSP
Software
Simcenter Testlab 2019.1
User Level
Beginner
Pricing ID
Contact Us
List Price
Contact Us
Price may not include taxes applicable to your billing region
Contact us for private event pricing
Training Center Duration
4 Days

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.

WHO SHOULD ATTEND

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.

PROVIDED COURSE MATERIALS
  • Student Guide
Find Upcoming Classes
For more information
Learning Services, USA

PRIMARY COURSE TOPICS

  • Sampling/Quantization
  • Averaging
  • Fourier Transform
  • Aliasing
  • Windowing
  • Time Domain Measurements
  • Frequency Domain Measurements
  • Digital Filtering
  • Rotating Machinery Measurement Techniques
  • Fixed Sampling
  • Order Tracking
  • Kalman Filtering
  • Signal Statistics
  • Time-Frequency Analysis