Transducer output signal processing using dual and triple microprocessor systems

Design of a high precision temperature measurement system based on artificial neural network for different thermocouple types

“…Using the second method, sensor nonlinearities can be compensated by means of arithmetic operations, if an accurate sensor model is available (direct computation of the polynomials), or with the use of a multidimensional look-up table. Direct computation of the polynomial method is more accurate but requires a longer time for computation, while the look-up table method, though faster, is not very accurate [4][5][6][7].…”

Implementation of software-based sensor linearization algorithms on low-cost microcontrollers

“…In this method, the result of the ADC is used as an index into an array that stores the corrected data points [6,8]. An alternative method, piecewise linear interpolation (PwLI) and improved sub-algorithms were discussed in later studies [6][7][8][9]. In a more recent study, a programmable gain amplifier (PGA) based linearization method utilizing a microcontroller was suggested by Baker [10].…”

Neuro-fuzzy sensor's linearization based FPGA

“…Using the second technique, sensor nonlinearities can be compensated by means of arithmetic operations, if an accurate sensor model is available (direct computation of the polynomials), otherwise with the use of multidimensional look-up tables. Direct computation of the polynomial method is more accurate but requires a longer time for computation, while the look-up table method, though faster, is not very accurate [10,[6][7][8]. The third technique is performed by interfacing a passive or an active nonlinear analog circuit between the sensor and an analog to digital converter (ADC) [9].…”

“…These techniques can be organized into three main classes. Analog hardware-based linearization circuit [2][3], software based linearization algorithms [4][5][6][7][8] and hybrid analog to digital conversion solutions [9].…”