Digital Measurement Techniques

Course Title: Digital Measurement Techniques

Course Code: ECEg-6512

Pre-requisites: Transducers and Actuators

Description:

Philosophy of digital and microprocessor/microcontroller based instruments. Time measurement techniques: Time standards; Measurement of time interval between events, the order of events, Vernier technique, Very low time, period, phase, time constant measurements; Frequency measurement techniques: Frequency, ratio and product, high and low-frequency measurements; Deviation meter and tachometer, Peak/valley recorder. Programmable circuits: Programmable resistors, amplifiers, filters. Digital to Analog Converters: Programmable amplifiers as DACs, Multi-stage WR DACs, Weighted current-, weighted reference voltage-, weighted charge-DACs; Ladder DACs, Design of DACs with respect to spreading and total resistance; Hybrid multiplier and divider. Analogue to Digital Converters: V/f and V/t converters, Direct ADCs, ramp, tracking, dual slope, successive approximation and flash types; Multi-stage flash type ADCs, DVM and its design. Voltage ratio measurement techniques: Digital ohmmeter, capacitance meter; impedance meters (polar and Cartesian types); Decibel meters; Q meter tan-delta meter; Modulation index meter. Sampling theory and its applications in current, voltage, power, energy measurements.

List of Projects:

• Noise Corrupted Speech Enhancement Using Kalman Filter.
• Spectral Subtraction Based Noise Reduction Method With Simulation.
• Precision Active Bridge Circuit for Measuring Incremental Resistance with Artificial Neural Network (ANN) Compensation of Excitation Voltage Variation.
• Microcontroller Based Instrumentation System for Measurement of Strength of Cementing Medium Used in Dental Restorations.
• Spectral Subtraction Based Noise Reduction Method With Simulation.

References:

1. P. P. Vaidhyanathan, Multirate systems and filter banks, Prentice-Hall, 1993.
2. Emmanuel Ifeachor and Barrie Jervis, Digital Signal Processing: A Practical Approach (2nd Edition), Prentice-Hall, 2004.
3. J. G. Proakis and D. G. Manolakis - Digital Signal Processing: Principles, Algorithms and Applications, PHI, 2004.
4. A. V. Oppenheim and R. W. Schafer, Discrete-time Signal Processing, PHI, 1992.
5. Haykins, Adaptive Filter Theory, Prentice-Hall, 1986.
6. Leon Cohen, Time-Frequency analysis, Prentice Hall, 1995.
7. Orfanidis Sophocles J, Optimum Signal Processing, McGraw Hill, 1988.