Waveform recognition method in signal processing

Abstract

The invention discloses a method for waveform recognition in signal processing, which comprises the following steps: initializing waveform parameters, using signal data as a data source for waveform recognition; finding rising or falling edges in signal waveforms according to waveform variation trends; The type and amplitude of the signal edge are compared with the corresponding stored waveform parameters to determine whether the signal edge is valid. When the signal edge is invalid, continue to search for the rising or falling edge; when the signal edge is valid, update the corresponding stored waveform parameters; calculate the pulse Width and judgment pulse value, continue to look for rising edge or falling edge. The invention can identify signals with unstable amplitude and varying intensity, and overcomes the problem of difficult or even ineffective selection of reference values ​​or thresholds for amplitude varying signals and intensity varying signals by the amplitude limiting method and threshold judgment method.

Description

technical field [0001] The invention relates to the field of signal processing, in particular to a method for identifying waveforms in signal processing. Background technique [0002] In the field of communication, data information needs to be transmitted through electrical signals. In order to facilitate the representation of data, many signals are expressed in two states of 0 and 1, which are reflected in the strength of electrical signals as two different values ​​of high and low, a series of high and low intensities The signal represented constitutes the waveform of the signal. On the data receiving side, it is necessary to recover the pulse from the waveform of the signal to form a data form that is easy to judge. [0003] Commonly used waveform pulse shaping methods have limited clipping and threshold judgment. Limiting is by setting the high and low reference thresholds Href and Lref, the signal amplitude higher than Href will be limited to Href, and the signal ampl...

AI Technical Summary

Problems solved by technology

Once the signal waveform is unstable and there is a certain fluctuation in the overall waveform amplitude, it is very difficult to select the threshold value and threshold value, because the entire signal range cannot be shaped by a preset threshold value and threshold value. The above two methods not easy to implement

If the signal received by the receiver is sometimes strong and sometimes weak, it will also cause difficulties in selecting thresholds and thresholds.

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