Abstract: Temperature sensing circuitry implemented on a semiconductor integrated circuit that senses the temperature at a site, digitizes the sensed temperature, and then outputs a signal representing such a sensed temperature. The temperature sensing circuitry converts a voltage signal that is proportional to the temperature to a frequency-based signal, which is converted to a digital bit value. A scalar factor is applied to another voltage signal that is inversely proportional to the temperature to produce a scaled voltage signal. The scaled voltage signal is converted to a second frequency-based signal, which is converted to a digital bit value, and then the two digital bit values are compared. The temperature is determined when the digital bit values substantially match.

Abstract: Temperature sensing circuitry implemented on a semiconductor integrated circuit that senses the temperature at a site, digitizes the sensed temperature, and then outputs a signal representing such a sensed temperature. The temperature sensing circuitry converts a voltage signal that is proportional to the temperature to a frequency-based signal, which is converted to a digital bit value. A scalar factor is applied to another voltage signal that is inversely proportional to the temperature to produce a scaled voltage signal. The scaled voltage signal is converted to a second frequency-based signal, which is converted to a digital bit value, and then the two digital bit values are compared. The temperature is determined when the digital bit values substantially match.

Abstract: A method can include generating a first set of sample values for input variables in accordance with a prescribed set of probability distributions, running a set of simulations on an electronic component based upon the first set of sample values, multiplying the standard deviations of the original distributions by a scaling factor ?, generating a second set of sample values for the input variables based on the probability distributions thus generated, and running a set of simulations on the electronic component based on this second set of sample values. The method can also include the generation of Q-Q plots based on the data from the first and second set of simulations and data from a truly normal distribution or the distribution obeyed by the independently varying input parameters; and the use of these plots for assessment of the robustness and functionality of the electronic component.