Step into the world of analog with our signal conditioning systems course. You’ll learn how to manipulate electronic waveforms to obtain high-quality data from sensors despite challenging environmental factors.
What is Signal Conditioning?
Signal conditioning is necessary to enhance and preserve the accuracy of measurement signals. It typically involves filtering, amplifying, or other signal manipulation techniques to make the signal more suitable for processing.
Analog vs. Digital Realm
Acquiring signals through analog means in challenging environments can be daunting. The course explores both analog and digital domains to help you design signal conditioning systems that overcome these difficulties. You’ll learn how to select appropriate components, use different processing techniques, and apply practical design methods to obtain accurate data.
Why Choose Analog Signal Processing?
Analog signal processing uses continuous analog signals to boost signal integrity. It’s different from digital processing, which involves discrete quantities to represent signals. Signals are usually represented as voltage, electric current, or electric charge around components in electronic devices.
- Signal conditioning in analog and digital domains
- Design flow from component selection to practical design
- Techniques for processing analog signals
- ADC principles
Join our course and learn how to design efficient and effective signal conditioning systems.
What are the prerequisites for this course?
Prior knowledge of electronics and signal processing is essential, and completion of a basic electronics course is recommended.
Can I take just one part of the course?
Yes, you can take either the analog or digital portion of the course, or you may take them both.