Signal discrete method for signal generating device sampling step length complicated change

Abstract

The invention relates to a discrete method for signals with complicated and chanceful sampling step length, which can be used in a signal generator; the invention is characterized in that the method includes the following steps: the sampling step length (see formula 1) required for signal dispersing is acquired according to the period Ti of each subwave and required signal discrete point number Ni; the calculation of all sampling step length dTi is in line with a reference time t which is equal to Zdt in the requirement that dTi is equal to Xit; controlling parameters (see formula 2) take thereference time t as the step length to carry out equal step length signal dispersion to each subwave to obtain a discrete signal sequence, that is, yij is equal to fi(j-1)f, j is equal to 1,2,..., Ni+1...; in the discrete signal sequence obtained in the step 3, Xi discrete points are taken as a group and are uniformly evaluated to the dereference of a first point in the group; discrete signals which meet the requirements of complicated and chanceful sampling step length are formed. The method has the advantages that the dispersion of the signals with complicated and chanceful sampling step length of the signal generator can be realized; compared with the existing signal generator which has the same function, the cost can be reduced by one order of magnitude.

Description

technical field The invention relates to a signal discrete method with complex and variable sampling step size for a signal generator, which is used for digital signal processing and a signal generator. Background technique Signal discretization is widely used in digital signal processing and signal generators. Usually, the sampling step size Δt of signal discretization is a fixed value. According to the function definition of the discretized signal, y=f(t) takes t=0, Δt, 2Δt in turn. , 3Δt,..., NΔt can realize the discreteness of the signal. However, under some specific application conditions, the discrete sampling step size of the signal is not fixed but complex and variable. This situation is most common for signal generators. Many control systems require discrete signals when the excitation signal changes slowly. The sampling step size is relatively large, and the discrete sampling step size of the signal is required to be small when the signal changes rapidly. Taking ...

AI Technical Summary

Problems solved by technology

This method is easy to implement for simple subwaveforms such as sine, square, and triangle waves, but it is very difficult for user-defined complex subwaveforms, and there is a time gap when switching subwaveforms in this method (or can be called time delay)

The signal generator using this method is more complex and has fewer output channels, and the price is more expensive

In addition, such methods fundamentally do not solve the problem of signal discrete methods with complex and variable sampling steps

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