A Brief Overview on Least Square Spectral Analysis and Power Spectrum

  • Ingudam GomitaEmail author
  • Sandeep Chauhan
  • Raj Kumar Sagar
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 437)


LSSA, i.e., least square spectral analysis method can be used to calculate the power density function of a fully populated covariance matrix. It fulfills the limitation cause by the fast Fourier transform (FFT), i.e., equally spaced and equally weighted time series. This time of experimental time series used LSSA (which used projection theorem) so that it can also analyze the time series, which is unequally spaced and unequally weighted. Signal-to noise ratio (SNR) is used to find out the probability density function.


LSSA Power density function Signal-to-noise ratio Projection theorem 


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Copyright information

© Springer Science+Business Media Singapore 2016

Authors and Affiliations

  • Ingudam Gomita
    • 1
    Email author
  • Sandeep Chauhan
    • 1
  • Raj Kumar Sagar
    • 1
  1. 1.Amity UniversityNoidaIndia

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