This software allows non-programmers, such as scientists and engineers, to perform advanced signal analysis by selecting menu options that determine how the data is analyzed and presented.
AutoSignal is a groundbreaking software program that has revolutionized signal analysis. It is the only program in the market that automates the entire process of analyzing signals, making it easy and intuitive for researchers to find components of complex signals. The software's graphical user interface simplifies every aspect of operation, from data import to output of results.
One of the key features of AutoSignal is its ability to handle smaller data sets that FFT cannot accurately analyze. With the use of AutoRegressive linear models, researchers are regularly able to quickly and securely recover signal components based on power—their waveforms could be sinusoidal, square wave, sawtooth, or anharmonic patterns. The software lets researchers see a complete picture of the frequency space using the library of six Fourier Spectrum methods, each with total flexibility. The platform also offers a choice of three mother wavelets (Paul, Gaussian Derivative, and Morlet), both in real and complex forms, to optimize localization results.
Scientists and engineers can perform complex signal analysis without programming using AutoSignal. They can choose menu items that instruct the software on how to analyze and present data. Selecting a processing step or algorithm prompts AutoSignal to offer further menus or windows, enabling users to tailor the platform's performance to their needs. After selecting a processing option, the software automatically presents the processing results in 2-D or 3-D views.
AutoSignal also comprises many built-in spectral analysis procedures, including FFT, AutoRegressive, Moving Average, ARMA, Complex Exponential Modeling, Minimum Variance Methods, Eigen Analysis Frequency Estimation, and Wavelets. Additionally, the software includes many leading-edge signal analysis, filtration, prediction, and noise removal technologies, making it a valuable tool for many engineers and researchers.
One of the key features of AutoSignal is its ability to handle smaller data sets that FFT cannot accurately analyze. With the use of AutoRegressive linear models, researchers are regularly able to quickly and securely recover signal components based on power—their waveforms could be sinusoidal, square wave, sawtooth, or anharmonic patterns. The software lets researchers see a complete picture of the frequency space using the library of six Fourier Spectrum methods, each with total flexibility. The platform also offers a choice of three mother wavelets (Paul, Gaussian Derivative, and Morlet), both in real and complex forms, to optimize localization results.
Scientists and engineers can perform complex signal analysis without programming using AutoSignal. They can choose menu items that instruct the software on how to analyze and present data. Selecting a processing step or algorithm prompts AutoSignal to offer further menus or windows, enabling users to tailor the platform's performance to their needs. After selecting a processing option, the software automatically presents the processing results in 2-D or 3-D views.
AutoSignal also comprises many built-in spectral analysis procedures, including FFT, AutoRegressive, Moving Average, ARMA, Complex Exponential Modeling, Minimum Variance Methods, Eigen Analysis Frequency Estimation, and Wavelets. Additionally, the software includes many leading-edge signal analysis, filtration, prediction, and noise removal technologies, making it a valuable tool for many engineers and researchers.
What's New
Version 1.7: N/A