Workshop on New Directions for Signal Processing in the 21st Century

20世纪的许多信号处理文献都集中在某些简化的假设上：平稳性、高斯性和线性性。这些假设的主要动机是数学上的可追溯性。然而，随着计算机的能力和可用性的不断提高，数学的可追溯性不再像过去那样是一个引人注目的问题。事实上，有了强大的计算机，我们可以扩展统计信号处理的视野，以解释实践中遇到的几乎所有物理现象的实际现实，即非平稳性、未知统计（通常是非高斯统计）和非线性。这种扩展是2003年“21世纪信号处理新方向”研讨会的主要目标之一。这个独特的研讨会的另一个主要目标是使两个科学团体更紧密地联系在一起：信号处理社区，它仍然由经典的方法来解决现实生活中的问题；神经计算社区，其特点是受人脑计算能力的驱动，但缺乏对信号处理问题应有的关注。考虑到这两个目标，并将重点放在精心挑选的一组主题上，研讨会将确保产生重大影响。

ABSTRACT0302706Simon HaykinMcMaster University Much of the signal-processing literature in the 20th Century focused on certain simplifying assumptions: Stationarity, Gaussianity, and linearity. The primary motivation for these assumptions is mathematical tractability. However, with the ever-increasing power and availability of computers, mathematical tractability is no longer the compelling issue that it used to be. Indeed, with powerful computers at hand, we can expand on the horizons of statistical signal processing to account for practical realities of nearly all physical phenomena encountered in practice, namely, nonstationarity, unknown statistics (typically nonGaussian), and nonlinearity. This expansion is one of the major goals of the 2003 Workshop on "New Directions in Signal Processing for the 21st Century".Another major goal of this unique Workshop is to bring two scientific communities closer together:The signal processing community, which is still dominated by classical approaches to the solution of real-life problems; and, The neural computation community, which distinguishes itself by being motivated by the computing power of the human brain but lacks the attention that signal processing problems duly deserve.With these two goals in mind, and by focusing on a carefully selected set of topics, the Workshop is assured of making a significant difference.