Domain identification and separation for precision measurement of waveforms

摘要

A machine-implemented method for computerized digital signal processing obtains a digital signal from data storage or from conversion of an analog signal and determines, from the digital signal, Measuring Matrices (MM). Each measuring matrix has a plurality of cells, each cell having an amplitude corresponding to the signal energy in a frequency bin for a time slice. Cells in each measuring matrix having maximum amplitudes within a time slice are identified as maximum cells. Maxima that coincide in time and frequency are identified and a correlated maxima matrix (PMM) is constructed showing the coinciding maxima and the adjacent marked maxima are linked into partial chains. If only one MM is constructed, multiple types of maxima are identified to generate the (PMM). The partial chains are isolated by parameters for a single domain or multiple domains to identify partial chains and possible separation of complex compound waveforms in the digital signal.

主权项

1. A method for digital signal processing, implemented on a computer having one or more processors and one or more memory devices, the method comprising:
receiving a digital waveform signal from data storage or from conversion of a physical analog signal received from an analog source or captured by a physical analog device; determining two or more measuring matrices from the digital waveform, each matrix consisting of a plurality of cells, each cell representing a corresponding time slice and frequency bin and having an amplitude corresponding to the signal energy for that frequency bin and time slice; identifying various types of maximum cells in each measuring matrices based on their having a local maximum amplitude; identifying correlated maxima as maximum cells from multiple measuring matrices that coincide in time and frequency or multiplies type of maxima or a combination of measuring matrices; constructing a correlated maxima matrix that indicates the correlated maxima; identifying, in the correlated maxima matrix, at least one of the following domain relationships of the correlated maxima: time domain, frequency domain, harmonic domain, amplitude domain, partial chain domain, repeating domain, memory domain, non-random domain; constructing a domain matrix showing the identified domain relationship; and outputting the domain matrix to thereby reveal information associated with the input signal, wherein outputting includes at least one of storing, transmitting and/or displaying the domain matrix, wherein the receiving, determining, identifying maximum cells identifying correlated maxima, constructing and outputting are performed by one or more processors.