In this letter a histogram-based BIST (Built-In Self-Test) approach for deriving the main characteristic parameters of an ADC (Analog to Digital Converter) such as offset, gain and non-linearities is proposed. The BIST uses a ramp signal as an input signal and two counters as a response analyzer to calculate the derived static parameters. Experimental results show that the proposed method reduces the hardware overhead and testing time while detecting any static faults in an ADC.

A new BIST (Built-in Self-test) method for static ADC testing is proposed. The proposed method detects offset, gain, INL (Integral Non-linearity) and DNL (Differential Non-linearity) errors with a low hardware overhead. Moreover, it can solve a transient zone problem which is derived from the ADC noise in real test environments.

This paper proposes a built-in self-test (BIST) scheme for noise-tolerant testing of a digital-to-analogue converter (DAC). The proposed BIST calculates the differences in output voltages between a DAC and test modules. These differences are used as the inputs of an integrator that determines integral nonlinearity (INL). The proposed method has an advantage of random noise cancelation and achieves a higher test accuracy than do the conventional BIST methods. The simulation results show high standard noise-immunity and fault coverage for the proposed method.