Signal-to-Noise Enhancement for Improved Detection, Estima- tion, and Modeling

这项在通信和信号处理领域的研究将有助于解决信号的检测、估计和建模问题。这种性质的许多问题的解决取决于信噪比(SNR)的提高。将对系统设计的性能界限进行基础性研究。尤其令人感兴趣的是当信号特征和噪声特征非常相似时，信噪比的提高，以至于分离和改善变得困难。微扰分析将被用来理解信噪比增强的基本性能。此外，以前的方法将扩展到更一般的公式，并将研究所提出的算法的超大规模集成(VLSI)实现。研究结果将应用于数据传输中的符号间和信道间干扰等通信问题，以及噪声中的语音分析等信号处理问题。

This research in the area of communications and signal processing will make contributions to problems in detection, estimation, and modeling of signals. Solutions to many problems of this nature depend upon the enhancement of the signal-to-noise ration (SNR). A fundamental investigation of theperformance bounds for system design will be conducted. Of particular interest is the enhancement of SNR when the signal characteristics and the noisecharacteristics are so alike that separation and improvement become difficult. Perturbation analysis will be used to understand the fundamental performance of SNR enhancement. Further, previous approaches will be extended to a more general formulation, and the very large scale integrated (VLSI) implementation of the proposed algorithms will be studied. The results of the investigation will be applied to such communication problems as intersymbol and interchannel interference in data transmission and in signal processing problems such as speech analysis in noise.