[[abstract]]This criterion requires only partial Mth-order cumulants CM,e(0,k1, k1, . . ., kM/2-1, k M /2-1) of the prediction error e(k ) where M is even. Theoretically, it is shown that the proposed filter associated with a stationary process x(k ) is the same as the conventional correlation based (minimum-phase) LPE filter associated with the nonGaussian signal y(k) (noise-free). Simulation results show that when y(k) is an autoregressive process of known order, the proposed filter works well[[fileno]]2030157030077[[department]]電機工程學
[[abstract]]This paper proposes a cumulant (higher-order statistics) based mean square error (MSE) c...
New simple proofs are given for the minimum phase property of the optimal prediction error filter. C...
Much attention has been devoted in the recent past to signal processing schemes based on order stati...
[[abstract]]The authors propose two criteria for the design of (minimum-phase) linear prediction err...
[[abstract]]Chi (see Sixth European Signal Processing Conference, EUSIPCO-92, Belgium, p.755-8, vol....
[[abstract]]© 1994 Institute of Electrical and Electronics Engineers-Proposes a new algorithm for th...
A generalisation of conventional linear prediction (LP) is proposed. The method implements the predi...
[[abstract]]It is well-known that the linear prediction (LP) spectral estimator is equivalent to the...
[[abstract]]In the paper, a parametric Fourier series based model (FSBM) for or as an approximation ...
The prediction filters are well known models for signal estimation, in communications, control and ...
We consider the one-step prediction problem for discrete-time linear systems in correlated plant and...
[[abstract]]© 1999 Institute of Electrical and Electronics Engineers-In this paper, a parametric Fou...
The linear prediction coding of speech is based in the assumption that the generation model is auto...
Let observations come from an infinite-order autoregressive (AR) process. For predicting the future ...
We propose a reduced complexity, graph based linear minimum mean square error (LMMSE) filter in whic...
[[abstract]]This paper proposes a cumulant (higher-order statistics) based mean square error (MSE) c...
New simple proofs are given for the minimum phase property of the optimal prediction error filter. C...
Much attention has been devoted in the recent past to signal processing schemes based on order stati...
[[abstract]]The authors propose two criteria for the design of (minimum-phase) linear prediction err...
[[abstract]]Chi (see Sixth European Signal Processing Conference, EUSIPCO-92, Belgium, p.755-8, vol....
[[abstract]]© 1994 Institute of Electrical and Electronics Engineers-Proposes a new algorithm for th...
A generalisation of conventional linear prediction (LP) is proposed. The method implements the predi...
[[abstract]]It is well-known that the linear prediction (LP) spectral estimator is equivalent to the...
[[abstract]]In the paper, a parametric Fourier series based model (FSBM) for or as an approximation ...
The prediction filters are well known models for signal estimation, in communications, control and ...
We consider the one-step prediction problem for discrete-time linear systems in correlated plant and...
[[abstract]]© 1999 Institute of Electrical and Electronics Engineers-In this paper, a parametric Fou...
The linear prediction coding of speech is based in the assumption that the generation model is auto...
Let observations come from an infinite-order autoregressive (AR) process. For predicting the future ...
We propose a reduced complexity, graph based linear minimum mean square error (LMMSE) filter in whic...
[[abstract]]This paper proposes a cumulant (higher-order statistics) based mean square error (MSE) c...
New simple proofs are given for the minimum phase property of the optimal prediction error filter. C...
Much attention has been devoted in the recent past to signal processing schemes based on order stati...