Programmable IIR filter analog hardware implementation method based on memristor

Abstract

The invention discloses a programmable IIR filter analog hardware implementation method based on a memristor, which comprises the following steps of: (1) sampling an analog input signal by utilizing a switched capacitor circuit to obtain a digital sampled signal of the analog input signal; (2) carrying out delay on the sampled digital signal by using a single-cycle delay circuit to obtain a delayed signal of the intermediate digital signal; (3) according to a direct type structure of an IIR filter, establishing two parts of circuits by utilizing a cross matrix structure of the memristor and an adder, and respectively using two parts of circuits as a feedback circuit and weighted summation output; and (4) selecting and setting a resistance value of the memristor, completing setting of filter parameters, inputting a to-be-filtered analog signal, and obtaining a filter signal at an output end of an operational amplifier. According to the programmable IIR filter analog hardware implementation method disclosed by the invention, the circuits are programmable, a round-off error can be reduced, a filtering speed is also not limited to an analog-digital converter, the complex multiplication calculation is avoided, all the calculations are in parallel, and the programmable IIR filter analog hardware implementation method can be used for implementing a high-order IIR filter.

Description

Technical field [0001] The invention relates to the technical field of memristors, in particular to a method for realizing programmable IIR filter simulation hardware based on memristors. Background technique [0002] Memristors are the fourth basic passive circuit components discovered in recent years. Although Leon Chua had theoretically predicted its existence as early as 1971, it was not until the discovery of the first physical model by HP Labs in 2008 that memristors received widespread attention from researchers in various fields. After the realization of the first physical model, many researchers in many fields have used this device to realize its applications in their respective fields, including computer science, nervous system science, neural network, artificial intelligence, electronic science and other fields. The new characteristics of the memristor provide new ideas for the development of these fields. [0003] In the field of signal processing, digital filters are...

AI Technical Summary

Problems solved by technology

Obviously, this mandatory ADC limits the processing speed of the signal processing system

Second, any analog-to-digital converter is bound to be accompanied by quantization errors, which can significantly affect the accuracy of the results

Clearly, previous studies could not meet this requirement

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