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SIGPRO
2002
63views more  SIGPRO 2002»
14 years 11 months ago
Adding data process feedback to the nonlinear autoregressive model
A nonlinear autoregressive model, the process feedback nonlinear autoregressive (PFNAR) model, in which the autoregressive coe cients are a function of the combination of past dat...
Hiroko Kato, Tohru Ozaki
SIGPRO
2002
72views more  SIGPRO 2002»
14 years 11 months ago
Modeling electricity loads in California: ARMA models with hyperbolic noise
In this paper we address the issue of modeling and forecasting electricity loads. We apply a two-step procedure to a series of system-wide loads from the California power market. ...
J. Nowicka-Zagrajek, R. Weron
SIGPRO
2008
130views more  SIGPRO 2008»
14 years 11 months ago
A fast algorithm for the computation of 2-D forward and inverse MDCT
A fast algorithm for computing the two-dimensional (2-D) forward and inverse modified discrete cosine transform (MDCT and IMDCT) is proposed. The algorithm converts the 2-D MDCT an...
J. S. Wu, Huazhong Shu, Lotfi Senhadji, Limin Luo
SIGPRO
2002
86views more  SIGPRO 2002»
14 years 11 months ago
Wavelets, Gaussian mixtures and Wiener filtering
In this work we discuss an improvement of the image-denoising wavelet-based method presented by [1]. This method is based on the estimation of the signal power at each wavelet sca...
Albert Bijaoui
SIGPRO
2002
91views more  SIGPRO 2002»
14 years 11 months ago
Comparison of maximum entropy and minimal mutual information in a nonlinear setting
In blind source separation (BSS), two di erent separation techniques are mainly used: minimal mutual information (MMI), where minimization of the mutual output information yields ...
Fabian J. Theis, Christoph Bauer, Elmar Wolfgang L...