Instrumentation: sensors and signal conditioning - 4PMSCAP0

Goal(s)

Courses in French.
This course covers signal conditioning from the transducer to digital form. Processing is often integrated into the sensor, and the problem of integration will be addressed. The course will be supported by application examples.
All elements of the acquisition chain are studied: the sensor, differential amplification, filtering and acquisition.

Content(s)

LEVEL: Advanced course in analog electronics and conversion. PREREQUISITES: Electronics TC PET1A, Electronics Filière Sicom sem5, Signal processing SEM 6 (Fourier transform, Laplace, DSP, White noise) Contents:

• Filtering: Low-pass, band-pass / Butterworth, Chebychef/ Bessel filters, state variable filters
• Switched-capacitor filters: Principle, frequency analysis, filter design
• Sensor principles / sizes / resolution
• Sensor conditioning
• Precision / dynamic / low-noise amplifiers
• Notion of noise and distortion (shot noise, thermal noise, 1/f noise, signal-to-noise ratio)
• Modeling noise in amplifiers and converters
• Analog/digital and digital/analog conversion (principles, structures and performance: speed, precision)

Translated with DeepL.com (free version)

Electronics TC1A, Automation, Signal Processing 1A, (TZ, Fourrier Transform)

• Equation of acquired circuits (Superposition theorem, Thevenin/Norton theorem)
• Operational amplifier (Recognize and know the results of inverting and non-inverting amplifiers)

• Mathematical tools: Laplace transform, limited expansion, trigonometry (cos/sin multiplication, remarkable relations)
• Mastery of Bode diagrams
• Classical Fourier transforms (sine, cos, Dirac, exponential, delay), signal processing tools, convolution product
• Random signal courses: white noise, Gaussian noise, power spectral density, probability density