A low-power data randomness monitoring circuit

Abstract

The invention discloses a low-power consumption data randomness monitoring circuit, which includes a capacitive element array, a Schmitt trigger, an inverter group and a feedback structure, and the output end of the capacitive element array is connected to the Schmitt trigger. The input terminal, the output terminal of the Schmitt trigger is connected to the inverter group, and the inverter group is connected to the feedback receiving end of the capacitive element array through the feedback structure, and the feedback structure is used to connect the inverter group The signal is detected and fed back to the capacitive element array for feedback control, so that the circuit works periodically and stably; the capacitive element array receives the input signal, the input signal is the signal to be tested and the control signal, and the signal to be tested is a digital signal with high and low levels flipped signal, the output signal of the inverter group. The invention realizes data randomness monitoring based on the analog front-end circuit, does not need complex structural design based on the digital integrated circuit design process, and has the advantages of small area, low power consumption and the like.

Description

technical field [0001] The invention relates to the technical field of integrated circuits, in particular to a low power consumption data randomness monitoring circuit. Background technique [0002] Random numbers are an important concept in statistics and cryptography, and are widely used in scientific experiments, statistical investigations, and signal processing. True random numbers are generally generated by physical processes, such as rolling dice to see points or based on noise from electronic components. The nature of such random numbers determines their good randomness and reliability; pseudo-random numbers are based on specific algorithms or data processing. A random number with a certain randomness of data constructed by the link, such as a linear shift feedback register that uses a modulo-two addition operation to generate a pseudo-random code. Since the generation of the pseudo-random number requires the help of an initial excitation, it is also often called a se...

AI Technical Summary

Problems solved by technology

In the existing data randomness detection method and device technology, regardless of the specific requirements of data randomness, it is generally necessary to record and analyze based on special software programs, complete index calculations, and equip special interfaces and data storage media according to sampling requirements. With the development of technologies such as system design and ultra-large-scale integrated circuit design, it is difficult to achieve design integration relying on the detection and evaluation methods of complex monitoring mechanisms, which does not meet the design requirements of low power consumption

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