Precision Measuring Matrix
New extraordinary multi-dimensional measurement, analysis and separation of complex compound waveforms and signals.
Pure PixelThe application of brute force mathematical scoring and adjusting of pixel values based on neighborhood relationships which reveals new data in images.
Above is an example of the PMM created using multiple transforms to create a defined Time Frequency Amplitude matrix of the signal input. In this example a short test file is made up of various pulses at different frequencies and amplitudes. Of note is the clarity of the pulses in both frequency and timing. Amplitudes are also shown as a height and the value is based on contributing transforms.
The PMM is a globally patented, new mathematical way of measuring signals/waveforms yielding extraordinary detail in time/frequency/amplitude, (TFA) by removing the smearing associated with single FFTs. It is a sophisticated TFA matrix which takes multiple simultaneous transform measurements and runs proprietary code on each measurement and applies relational data computations on each transform. The output is a database of signal events that has infinitely more accurate statistical signal data than a single FFT. Additionally the PMM has 90% less measurement anomalies therefore greatly increasing the signal to noise ratio.
Since the PMM database is inherently more accurate as a representation of the original signal the separation of known and unknown signals can be performed. Various domains that can be employed to discover, dissect and separate signals. A domain is a way of separating data and information in a signal that cannot be accomplished in other domains. The PMM allows analysis in the following domains; Angle rise and fall, time, amplitude, harmonic, start, stop, peak and other know domains such as frequency and time.
Harmonic Domain: :
The PMM database can be organized into signal components using any one or more of the above mentioned domains. In this example half the image is PMM data and the other half is a display of only the signals that have a harmonic relationship showing spectral content.
In this example first half of the image is complete PMM and second half is only the signals between -30dB and -34dB. The amplitude domain can be set for any delta within the dynamic range of the signal.
Our patented process of revealing data in images utilizes brute force mathematical scoring and adjusting of pixel values to dramatically enhance the information contained within an image.