Institution
University of Winnipeg
Education•Winnipeg, Manitoba, Canada•
About: University of Winnipeg is a education organization based out in Winnipeg, Manitoba, Canada. It is known for research contribution in the topics: Population & Context (language use). The organization has 3235 authors who have published 6413 publications receiving 150564 citations. The organization is also known as: U of W.
Topics: Population, Context (language use), Microstrip antenna, Artificial neural network, Indigenous
Papers published on a yearly basis
Papers
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TL;DR: In this article, a polynomial identification algorithm for recovering a nonlinearity in the Hammerstein system is proposed, which employs the Legendre orthogonal system with adaptively selected number of terms.
Abstract: A polynomial identification algorithm for recovering a nonlinearity in the Hammerstein system is proposed. The estimate employs the Legendre orthogonal system with adaptively selected number of terms. The global consistency along with rates of convergence are established. No assumptions concerning continuity of the nonlinearity or its functional form are made. A data-driven method using the cross-validation technique for selecting the number of terms in the estimate is presented. >
144 citations
TL;DR: In this paper, the authors argue that in the presence of multiple market distortions, land privatization is unlikely to provide a solution to the agricultural problems and instead, an approach which refines the existing framework of the two-tier ownership system offers more promise.
142 citations
TL;DR: Experimental results indicated that the IL-Fe(3)O(4) nanoparticles had removed more than 98% of both dyes under the optimum operational conditions of a dosage of 60mg, a pH of 2.5, and a contact time of 2min when initial dyes concentrations of 10-200mg L(-1) were used.
141 citations
TL;DR: The rate of urbanization for both RMs is found to be comparable with areas surrounding other major cities such as Toronto, and it was found that most urbanization take place on the most fertile soil.
141 citations
TL;DR: Maximum likelihood estimation using the Viterbi algorithm (MLSE-VA) and sequential sequence estimation (SSE) are developed and diversity is combined with both MLSE- VA and SSE to improve the error performance.
Abstract: Presents sequence estimation for the frequency selective Rayleigh fading channel. Maximum likelihood estimation using the Viterbi algorithm (MLSE-VA) and sequential sequence estimation (SSE) are developed. Both MLSE-VA and SSE consist of a set of Kalman filters which estimate the fading channel as time evolves. Computer simulations for two different channel models show that the error performance of the two approaches is essentially the same. SSE however has considerably less computational complexity than MLSE-VA. To improve the error performance, diversity is combined with both MLSE-VA and SSE. The simulations show that diversity results in a signal to noise ratio gain of greater than 10 dB. >
140 citations
Authors
Showing all 3279 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Witold Pedrycz | 101 | 1766 | 58203 |
| Ian Manners | 98 | 799 | 42573 |
| Michael J. Zaworotko | 97 | 519 | 44441 |
| Dusit Niyato | 96 | 973 | 39234 |
| Ekram Hossain | 95 | 610 | 31736 |
| Henry A. Giroux | 90 | 516 | 36191 |
| Yves Bergeron | 89 | 656 | 27494 |
| Fikret Berkes | 88 | 271 | 49585 |
| David W. Schindler | 85 | 217 | 39792 |
| Paul L. Hewitt | 77 | 236 | 19340 |
| Andrew Kusiak | 77 | 392 | 20737 |
| Philip J. White | 75 | 314 | 26523 |
| Jonathan W. Martin | 73 | 296 | 18275 |
| Alan M. Rugman | 69 | 311 | 21088 |
| Mary E. Power | 68 | 147 | 20749 |