
Course information : Course covers basic fundamentals require for sensor interfacing and circuit design, also provides guidelines for circuit design with examples, modules including video lectures, articles, talking head slides and pre and post quizzes after every module.
Module 1 : Basic techniques of signal conditioning, Principles of Analog signal conditioning : signal level & bias changes, Linearization, Conversions, Signal transmission and digital interface, Filtering & Impedance matching, Concept of loading with examples, Passive circuits : Divider circuits, Bridge circuits e.g. Wheatstone bridge, Current balance bridge, Lead compensation, Bridge applications, RC filters - Low pass RC filters, Design methods, High pass RC filters, practical considerations, OPAMP circuits in instrumentation, Common types of analog signal conditioning, Guidelines for analog signal conditioning system : e.g. Defining measurement objective, Selecting a sensor, Design analog signal conditioning, Notes on analog signal conditioning design.
Module 2 : Introduction, Review digital fundamentals, Principles of digital signal processing, Converters: comparator(Open collector and hysteresis comparators), Digital to Analog Converters (DAC) and Analog to digital converters (ADC), ADC and DAC characteristics, ADC and DAC structure, Types of ADC, conversion time consequences, Frequency based converters : Sensor to frequency conversion, Data acquisition systems : DAS hardware, DAS software, ADC, DAC, Sample and hold circuits, Multiplexer, Decoder, Characteristics of digital data, digitized value, sampled data systems, applications.
Conclusion : Concluding remarks for the course, at the end post learning quiz and having bonus lecture on simulating software
Explore fundamentals of sensor interfacing by learning techniques for signal conditioning, filtering, impedance matching, and instrumentation amplifiers, and designing analog conditioning systems to map input voltages to desired ranges.
Explore basic techniques of signal conditioning to convert sensor signals into clean, interface-ready electrical forms. Learn amplification, filtering, isolation, and analog-to-digital conversion for accurate process control applications.
Master analog signal conditioning principles, including level and bias adjustment and linearization, to convert sensor outputs into usable signals. Learn how filtering, impedance matching, and loading improve accuracy.
Explore common analog signal conditioning types, including instrumentation amplifiers for differential measurements, and discuss impedance, gain, and the roles of integrators and differentiators in shaping sensor signals.
Explore the fundamentals of sensor interfacing, including data acquisition system hardware, input amplifiers, analog-to-digital and digital-to-analog converters, signal conditioning, multiplexers, decoders, and data interpretation.
Explore principles of digital signal conditioning and digital information flow, and see how digital techniques encode process measurements and control information for multivariable process control and computer networking.
Explore data acquisition systems in computer interfacing, including bus architectures, expansion slots, analog multiplexing, address decoding, and the software-driven sequence for sampling and digital conversion.
Explore how signal conditioning amplifies and converts signals for precise data acquisition, enabling analog-to-digital conversion and reliable remote device communication.
The lecture explains signal conditioning circuits and shows how a very low, noisy sensor signal becomes a high-amplitude, usable signal via an op-amp in a simulation.
Course information : Course covers basic fundamentals require for sensor interfacing and circuit design, also provides guidelines for circuit design with examples, modules including video lectures, articles, talking head slides and pre and post quizzes after every module.
Module 1 : Basic techniques of signal conditioning, Principles of Analog signal conditioning : signal level & bias changes, Linearization, Conversions, Signal transmission and digital interface, Filtering & Impedance matching, Concept of loading with examples, Passive circuits : Divider circuits, Bridge circuits e.g. Wheatstone bridge, Current balance bridge, Lead compensation, Bridge applications, RC filters - Low pass RC filters, Design methods, High pass RC filters, practical considerations, OPAMP circuits in instrumentation, Common types of analog signal conditioning, Guidelines for analog signal conditioning system : e.g. Defining measurement objective, Selecting a sensor, Design analog signal conditioning, Notes on analog signal conditioning design.
Module 2 : Introduction, Review digital fundamentals, Principles of digital signal processing, Converters: comparator(Open collector and hysteresis comparators), Digital to Analog Converters (DAC) and Analog to digital converters (ADC), ADC and DAC characteristics, ADC and DAC structure, Types of ADC, conversion time consequences, Frequency based converters : Sensor to frequency conversion, Data acquisition systems : DAS hardware, DAS software, ADC, DAC, Sample and hold circuits, Multiplexer, Decoder, Characteristics of digital data, digitized value, sampled data systems, applications.
Conclusion : Concluding remarks for the course, at the end post learning quiz and having bonus lecture on simulating software