A Practical Self-Calibration Scheme Implementation for Pipeline ADC

Input-Dependent Integral Nonlinearity Modeling for Pipelined Analog–Digital Converters

“…The stage amplifier can hardly be optimized to simultaneously have a short settling time and an accurate gain [4]. Additional error sources include the amplifier's gain bandwidth product, the finite dc gain, interstage reference mismatch, and clock jitter [5]. These errors translate into faulty transition levels that deviate from the ideal ones, in addition to a gain and offset compared with an ideal transfer curve.…”

Towards organic sensing systems – Dynamically reconfigurable mixed-signal electronics for adaptive sensing in organic computing systems

“…Examples of simple products are programmable and trimmable amplifiers, such as Advanced Linear Devices ALD2724E/ ALD2724 which allows offset trimming by EEPROM technology [12] and Analog Devices AD8555, which achieves trimming by an on-chip D/A-converter [13]. More complex circuits can be found, e.g., in Provost and Sanchez-Sinencio [14] and Gulati and Lee [15]. Aspects of rapid-prototyping as well as trimming requirements by programmable or reconfigurable structures are incorporated in Field-Programmable-Analog-Arrays (FPAA) [16].…”

A Scalar Interpolator/Compressor for the Improvement of Sensor Linearity

“…The histogram approach includes initially the excitation of an m-bit ADC with a ramp signal in order to get the initial 2 m outputs and then the ramp signal is shifted up to retrieve another set of 2 m outputs [4]. The differences between the corresponding values are used for the estimation of the INL/DNL error [5] [6]. The DNL linearity errors can be corrected by signed error correcting factors that are stored in large look up tables.…”