An Improved All-Pass Filter Design Using Closed-Form Toeplitz-plus-Hankel Matrix

Authors

  • Yue-Dar Jou R. O. C. Military Academy
  • Fu-Kun Chen Southern Taiwan University of Science and Technology

Keywords:

All-pass filter, Closed-form, Infinite Impulse Response, Least-squares, Toeplitz-plus-Hankel.

Abstract

The least-squares design of infinite impulse response all-pass filter can be formulated as to solve a system of linear equations without directly computing a matrix inversion. The set of linear equations associated matrix is further expressed as a Toeplitz-plus-Hankel matrix such that the optimal filter coefficients are efficiently solved by employing a robust Cholesky decomposition or the split Levinson technique. This paper proposes closed-form expressions for efficiently computing Toeplitz-plus-Hankel matrix based on trigonometric identities. The closed-form expressions of the Toeplitz-plus-Hankel matrix can be directly evaluated as the passband edges are specified without sampling the frequency band as that of the previous computing-efficiency algorithm. The proposed new and simpler closed-form expressions are indicated from simulation results to accurately improve the design performance as well as achieve computational efficiency.

Author Biographies

Yue-Dar Jou, R. O. C. Military Academy

Electrical Engineering

Fu-Kun Chen, Southern Taiwan University of Science and Technology

Computer Science and Information Engineering

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Published

2014-12-25

Issue

Section

Articles