An integer calculation method, device and medical testing equipment

Abstract

The invention relates to a shaping calculation method, which comprises a first operation module, a second operation module, a summator and a combiner, wherein the first operation module is used for respectively expressing the current moment and the signal sampling values (X<0>, X<1> to X<n>) of front n moments of the current moment into sub signal sequences with preset base numbers and indexes, and respectively expressing magnification times (b<0>, b<1> to b<n>) of each stage of amplifiers into sub magnification sequences with preset base numbers and indexes, and performs amplification operation by utilizing a first-class magnification operator to obtain a first summation value S<x>; the second operation module is used for respectively expressing magnification times (a<0>, a<1> to a<n>) of each stage of amplifiers into sub magnification sequences with preset base numbers and indexes, and performs amplification operation by utilizing a second-class magnification operator to obtain a second summation value S<y>; the summator is used for adding the second summation value S<y> and the first summation value S<x> to obtain a third summation value S<y0>; and the combiner is used for obtaining the integer part Y of the third summation value S<y0> as the system output of the current moment.

Description

Technical field [0001] The present invention relates to the field of medical electronics, in particular to an integral calculation method, device and medical testing equipment. Background technique [0002] In the process of signal acquisition, analysis and display, due to the complex field environment and the signal's own spectrum characteristics, it is often necessary to limit the bandwidth of the system input signal, that is, it is necessary to use a filter to filter the system input signal, such as IIR The digital filter filters the system input signal to limit the bandwidth of the system input signal. [0003] For the IIR digital filter, its filtering accuracy is affected by the truncation error. In order to obtain high precision, the existing IIR digital filter mainly has the following two processing schemes: one is to use floating-point arithmetic in the IIR digital filter operation. The advantage of this is that the filter has high accuracy, but it is not A CPU that suppo...

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Problems solved by technology

In order to obtain high precision, the existing IIR digital filter mainly has the following two processing schemes: one is to use floating-point operations in the operation of the IIR digital filter. The advantage of this is that the filter has high precision, but for different A CPU that supports floating-point operations will cause slow CPU operations

The other is to limit the accuracy of the filter and the input signal of the system. Integer calculation is used in the IIR digital filter operation. The advantage of this method is that for CPUs that do not support floating-point operations, the CPU calculation is fast, and the disadvantage is the filter accuracy. not tall

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