White noise generation method based on controllable fracture junction

Abstract

The invention discloses a white noise generating circuit based on a controllable fractured junction. The white noise generating circuit comprises the controllable fractured junction, a resistor, a pulse voltage source, a comparator, a low-frequency pulse source, a NOR gate, a counter, a digital-to-analog converter and a low-noise amplifier. The controllable fracture junction is connected with the resistor in series, the lower end of the resistor is grounded, and the upper end of the controllable fracture junction is connected with a pulse voltage source which alternately generates on and off pulses; the counting time period T of the counter is set, the total number of NOR gate output pulses in the period is obtained through the counter and serves as an output signal of the counter in the period, the output signal is input into the digital-to-analog converter to be subjected to the digital-to-analog conversion process, when the period is ended, the counter is reset to zero so as to carry out the counting process of the next period, and the rest can be done in the same way, so that a random number is generated; and after the power is increased by the low-noise amplifier, white noise audio can be finally output by the loudspeaker. According to the invention, true random numbers can be generated, then white noise is generated, and circuit complexity and requirements on circuit elements can be reduced.

Description

technical field [0001] The invention belongs to a digital method for generating white noise, and in particular relates to the field of electrical switching characteristics and signal processing of suspended graphene controllable fracture junctions. Background technique [0002] The random numbers in the digital domain and the noise in the analog domain are consistent in a certain sense, and both describe a kind of uncertainty. The method of using random numbers to generate white noise is logical. [0003] Randomness is a relative concept and a basic feature of nature. Random numbers need to satisfy certain statistical properties, which are sequences without obvious patterns or characteristics. Random sequences generally have the following three characteristics: (1) Equal distribution: the value of each bit that makes up the random sequence is equally probable and satisfies the same probability distribution; (2) Unpredictability: It is impossible to analyze the known (3) No...

AI Technical Summary

Problems solved by technology

The pseudo-randomness of the sequence limits the quality of the white noise generated and its applicability

For the true random number generation method, there are certain problems in the existing methods: (1) thermal noise amplification method: the requirements on the amplifier are relatively high, and the obtained noise contains the noise of the amplifier itself, and an additional circuit is required to eliminate the noise of the amplifier. Noise increases the complexity and implementation difficulty of the circuit, and reduces the portability of the circuit; (2) Oscillator sampling method: higher requirements for the oscillator; (3) Chaotic system sampling method: The chaotic network is too complicated, and the circuit implementation Difficulty and analysis are difficult, and the dynamic process has the defect of insufficient stability; (4) metastable sampling method: sensitive to voltage and temperature in the working environment, and has high requirements for the layout and wiring of the circuit clock tree

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