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SIGPRO
2002
63views more  SIGPRO 2002»
14 years 9 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 9 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 9 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 9 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 9 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...