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- Yadunandana N. Rao, JosÃ© Carlos PrÃncipe, Tan F. Wong
- VLSI Signal Processing
- 2004

Generalized eigendecomposition (GED) plays a vital role in many signal-processing applications. In this paper, we will propose a new method for computing the generalized eigenvectors, which isâ€¦ (More)

- Deniz Erdogmus, Kenneth E. Hild, Yadunandana N. Rao, JosÃ© Carlos PrÃncipe
- Neural Computation
- 2004

Minimum output mutual information is regarded as a natural criterion for independent component analysis (ICA) and is used as the performance measure in many ICA algorithms. Two common approaches inâ€¦ (More)

- Deniz Erdogmus, Yadunandana N. Rao, Hemanth Peddaneni, Anant Hegde, JosÃ© Carlos PrÃncipe
- Proceedings of the 2004 14th IEEE Signalâ€¦
- 2004

Principal components analysis is an important and well-studied topic in statistics and signal processing. Most algorithms could be grouped into one of the following three approaches: adaptation basedâ€¦ (More)

- Deniz Erdogmus, Robert Jenssen, Yadunandana N. Rao, JosÃ© Carlos PrÃncipe
- VLSI Signal Processing
- 2006

Multivariate density estimation is an important problem that is frequently encountered in statistical learning and signal processing. One of the most popular techniques is Parzen windowing, alsoâ€¦ (More)

- Justin C. Sanchez, Sung-Phil Kim, +4 authors Miguel A. L. Nicolelis
- NNSP
- 2002

Linear and nonlinear (TDNN) models have been shown to estimate hand position using populations of action potentials collected in the pre-motor and motor cortical areas of a primateâ€™s brain. One ofâ€¦ (More)

The ability to record, in real-time, the activity of hundreds of cortical neurons gives the ability to selectively study the function of clusters of cortical neurons in Brain Machine Interface @MI)â€¦ (More)

Eigendecompositions play a very important role in a variety of signal processing applications. In this paper, we derive and study an algorithm for Generalized Eigendecomposition which is both on-lineâ€¦ (More)

- Sung-Phil Kim, Justin C. Sanchez, +4 authors Miguel A. L. Nicolelis
- Neural Networks
- 2003

This paper proposes a divide-and-conquer strategy for designing brain machine interfaces. A nonlinear combination of competitively trained local linear models (experts) is used to identify theâ€¦ (More)

Eigendecompositions play a very important role in a variety of signal processing applications. In this paper, we derive and study an algorithm for principal component analysis (PCA) which is bothâ€¦ (More)

Recent research has demonstrated that linear models are able to estimate hand positions using populations of action potentials collected in the pre-motor and motor cortical areas of a primateâ€™sâ€¦ (More)