Discrete Lissajous and Recton Functions: A New Method for Frequency Response Measurements

Abstract An innovative and completely new technique so called discrete Lissajous functions and recton functions for signal analysis and measurement is explained. The contribution of the study is that it is a new digital method of obtaining information on frequency, change of frequency, phase and phase shift as well as auto-correlation, cross-correlation and energy functions of signals in digital form on-line that may be difficult to be provided in analog form and available for measurement and control applications at each sampling instance directly. The discrete Lissajous figures and recton functions can also be sketched in digital image form for further analysis of signals and systems. They are based on an algorithm utilizing discrete convolutions of discrete time signals. They can be depicted in 3D form. They give more information than classical analog Lissajous figures obtained on an oscilloscope screen. They can be used for several applications from chaotic systems to biomedical applications requiring to finding correlations, energies as well as frequency and phase information of the signals and controlling such systems. In this study, the application of them to systems steady-state, mainly frequency response analysis is explained after giving basic definitions.

[1]  B G De Grooth,et al.  Biomolecular interactions measured by atomic force microscopy. , 2000, Biophysical journal.

[2]  Arturo Tejada,et al.  Identification of Time Series Models From Segments—Application to Scanning Transmission Electron Microscopy Images , 2013, IEEE Transactions on Instrumentation and Measurement.

[3]  H. S. Black,et al.  Inventing the negative feedback amplifier: Six years of persistent search helped the author conceive the idea “in a flash” aboard the old Lackawanna Ferry , 1977, IEEE Spectrum.

[4]  Chandra R. Murthy,et al.  A Noniterative Online Bayesian Algorithm for the Recovery of Temporally Correlated Sparse Vectors , 2017, IEEE Transactions on Signal Processing.

[5]  Junping Zhang,et al.  Remote Sensing Image Registration Based on Retrofitted SURF Algorithm and Trajectories Generated From Lissajous Figures , 2010, IEEE Geoscience and Remote Sensing Letters.

[6]  Antonio Napolitano,et al.  Time-Warped Almost-Cyclostationary Signals: Characterization and Statistical Function Measurements , 2017, IEEE Transactions on Signal Processing.

[7]  C. Gerber,et al.  Surface Studies by Scanning Tunneling Microscopy , 1982 .

[8]  P. P. Vaidyanathan,et al.  Correlation Subspaces: Generalizations and Connection to Difference Coarrays , 2017, IEEE Transactions on Signal Processing.

[9]  George R. Cooper,et al.  Correlation function bounds for aperiodic signals (Corresp.) , 1967, IEEE Trans. Inf. Theory.

[10]  A. Ambre,et al.  Overview literature on atomic force microscopy (AFM) : Basics and its important applications for polymer characterization , 2006 .

[11]  E. Cocker,et al.  In vivo brain imaging using a portable 3.9 gram two-photon fluorescence microendoscope. , 2005, Optics letters.

[12]  Bruce R. Johnson,et al.  Recurrences in the autocorrelation function governing the ultraviolet absorption spectra of O3 , 1989 .

[13]  H. W. Bode,et al.  Network analysis and feedback amplifier design , 1945 .

[14]  Hisham A. H. Al-Khazali,et al.  Geometrical and graphical representations analysis of lissajous figures in rotor dynamic system , 2012 .

[15]  H. Nyquist,et al.  The Regeneration Theory , 1954, Journal of Fluids Engineering.

[16]  Baihai Wu,et al.  Estimating Phase Difference and Lead of Discrete Cosine Ultrasonic Wave Signals Based on Hilbert Transform and Lissajous Figure Features , 2010, 2010 International Conference on Measuring Technology and Mechatronics Automation.

[17]  Victor Solo,et al.  Diffusion LMS With Correlated Regressors II: Performance , 2017, IEEE Transactions on Signal Processing.

[18]  N. Batina,et al.  AFM and MFM techniques for enzyme activity imaging and quantification , 2018 .

[19]  Paul S. Addison,et al.  RAPID COMMUNICATION: A novel time frequency-based 3D Lissajous figure method and its application to the determination of oxygen saturation from the photoplethysmogram , 2004 .

[20]  Hemantha K. Wickramasinghe,et al.  Atomic force microscope–force mapping and profiling on a sub 100‐Å scale , 1987 .

[21]  C. Fadley Atomic‐level characterization of materials with core‐ and valence‐level photoemission: basic phenomena and future directions , 2008 .

[22]  L. Zadeh,et al.  Correlation Functions and Power Spectra in Variable Networks , 1950, Proceedings of the IRE.

[23]  Yuan Wang,et al.  Passive Detection of Correlated Subspace Signals in Two MIMO Channels , 2017, IEEE Transactions on Signal Processing.

[24]  Gerber,et al.  Atomic Force Microscope , 2020, Definitions.

[25]  B Vo-Ngoc,et al.  A possible procedure to calculate correlation functions for the EEG. , 1970, IEEE transactions on bio-medical engineering.

[26]  Fouad Giri,et al.  An Analytic Geometry Approach to Wiener System Frequency Identification , 2009, IEEE Transactions on Automatic Control.

[27]  Hong Wang,et al.  Spectral correlation function of basic analog and digital modulated signals , 2013, 2013 IEEE International Conference of IEEE Region 10 (TENCON 2013).

[28]  Marina Ramón,et al.  Calibrating the frequency of tuning forks by means of Lissajous figures , 2011 .

[29]  A. Habibi,et al.  Estimation of Correlation Functions by Stochastic Approximation , 1972, IEEE Transactions on Aerospace and Electronic Systems.

[30]  H. S. Black,et al.  Stabilized feedback amplifiers , 1934 .

[31]  Edl Schamiloglu,et al.  Experimental study of Q-V Lissajous figures in nanosecond-pulse surface discharges , 2013, IEEE Transactions on Dielectrics and Electrical Insulation.

[32]  Guiwei Shao,et al.  Applications of autocorrelation function method for spatial characteristics analysis of dielectric barrier discharge , 2013 .

[33]  Ho Wai Wong-Lam,et al.  A robust and accurate algorithm for time measurements of periodic signals based on correlation techniques , 2001, IEEE Trans. Instrum. Meas..

[34]  Sedat Nazlibilek,et al.  Discrete Lissajous Figures and Applications , 2014, IEEE Transactions on Instrumentation and Measurement.