Multirate systems and filter banks
Multirate systems and filter banks
Linear periodically time-varying discrete-time systems: aliasing and LTI approximations
Systems & Control Letters
System identification (2nd ed.): theory for the user
System identification (2nd ed.): theory for the user
Digital Filters and Signal Processing
Digital Filters and Signal Processing
Digital Control Systems
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This paper discusses the linear periodically time-varying (LPTV) system parameter estimation using a block approach. An block algorithm is proposed for optimal estimation of the parameters of LPTV system from the input sequence and the output sequence corrupted by additive Gaussianly distributed noise. In the proposed method, the least squares error criterion has been used.The algorithm provides a useful computational tool based on an appropriate theoretical foundation for parameter estimation of linear time-invariant (LTI) systems from input and output data. Simulation results are presented that demonstrate the performance of the approach.