Research Initiation: A Time-Sharing Estimation, Algorithm for Adaptive Signal Processing Using a Convex Set- Theoretic Approach

本研究的目的是开发一种信息 估计方案，并在自适应信号中引入自适应 处理，从而可以设计分时型估计器。 使用凸集理论来确定有多少创新信息 包含在每个数据点中。 建议的意义 研究源于它在许多通信中的直接应用 诸如数字语音插值和统计的问题 多路复用;它有效地利用观测数据， 计算效率高、成本效益好、数值稳定 算法及其与超大规模集成电路技术之间的相互作用， 理论和自适应信号处理。

The objectives of this research are to develop an information estimation scheme and to introduce queueing to adaptive signal processing so that a time-sharing type estimator can be devised. Convex set theory is used to determine how much innovative information is contained at each data point. The significance of the proposed research stems from its immediate application in many communication problems such as digital speech interpolation and statistical multiplexing; its efficient use of observation data that can yield computationally efficient, cost effective, and numerically stable algorithms; and its interaction among VLSI technologies, queueing theory, and adaptive signal processing.