#### Filter Results:

- Full text PDF available (32)

#### Publication Year

1998

2017

- This year (3)
- Last 5 years (28)
- Last 10 years (57)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Key Phrases

Learn More

- Magno T. M. Silva, Vitor H. Nascimento
- IEEE Transactions on Signal Processing
- 2008

As is well known, Hessian-based adaptive filters (such as the recursive-least squares algorithm (RLS) for supervised adaptive filtering, or the Shalvi-Weinstein algorithm (SWA) for blind equalization) converge much faster than gradient-based algorithms [such as the least-mean-squares algorithm (LMS) or the constant-modulus algorithm (CMA)]. However, when… (More)

- Renato Candido, Magno T. M. Silva, Vitor H. Nascimento
- IEEE Transactions on Signal Processing
- 2010

In this paper, we propose an approach to the transient and steady-state analysis of the affine combination of one fast and one slow adaptive filters. The theoretical models are based on expressions for the excess mean-square error (EMSE) and cross-EMSE of the component filters, which allows their application to different combinations of algorithms, such as… (More)

- Ali H. Sayed, Vitor H. Nascimento, Flávio A. M. Cipparrone
- SIAM J. Matrix Analysis Applications
- 2002

- Flavio P. Ribeiro, Dinei A. F. Florêncio, Vitor H. Nascimento
- 2011 18th IEEE International Conference on Image…
- 2011

Subjective tests are generally regarded as the most reliable and definitive methods for assessing image quality. Nevertheless, laboratory studies are time consuming and expensive. Thus, researchers often choose to run informal studies or use objective quality measures, producing results which may not correlate well with human perception. In this paper we… (More)

- Vitor H. Nascimento, José Carlos M. Bermudez
- IEEE Transactions on Signal Processing
- 2006

In this paper, it is shown that the least-mean fourth (LMF) adaptive algorithm is not mean-square stable when the regressor input is not strictly bounded (as happens, for example, if the input has a Gaussian distribution). For input distributions with infinite support, even for the Gaussian distribution, the LMF always has a nonzero probability of… (More)

- Vitor H. Nascimento, Magno T. M. Silva, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García
- 2010 IEEE International Conference on Acoustics…
- 2010

Combinations of adaptive filters have attracted attention as a simple solution to improve filter performance, including tracking properties. In this paper, we consider combinations of LMS and RLS filters, and study their performance for tracking time-varying solutions. We show that a combination of two filters from the same family (i.e., two LMS or two RLS… (More)

- Yuriy V. Zakharov, Vitor H. Nascimento
- IEEE Transactions on Signal Processing
- 2013

In this paper, we propose a family of low-complexity adaptive filtering algorithms based on dichotomous coordinate descent (DCD) iterations for identification of sparse systems. The proposed algorithms are appealing for practical designs as they operate at the bit level, resulting in stable hardware implementations. We introduce a general approach for… (More)

- Vitor H. Nascimento, Ali H. Sayed
- IEEE Trans. Signal Processing
- 1999

The paper develops a leakage-based adaptive algorithm, refered to as circular-leaky, which in addition to solving the drift problem of the classical least mean squares (LMS) adaptive algorithm, it also avoids the bias problem that is created by the standard leaky LMS solution. These two desirable properties of unbiased and bounded estimates are guaranteed… (More)

- Vitor H. Nascimento, Magno T. M. Silva, Renato Candido, Jerónimo Arenas-García
- 2009 IEEE/SP 15th Workshop on Statistical Signal…
- 2009

Combination schemes are gaining attention as an interesting way to improve adaptive filter performance. In this paper we pay attention to a particular convex combination scheme with nonlinear adaptation that has recently been shown to be universal -i.e., to perform at least as the best component filter- in steady-state; however, no theoretical model for the… (More)