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

在通信和信号处理领域的这项研究将 对检测、估计和建模方面的问题做出贡献 的信号。 解决许多这类问题的办法取决于 信噪比（SNR）的提高。 一项基本 系统设计性能界限的研究将是 进行。 特别令人感兴趣的是， 信号特征和噪声特征是如此相似， 分离和改进变得困难。 扰动分析 将用于了解SNR的基本性能 增强 此外，先前的方法将被扩展到更广泛的领域。 一般公式和超大规模集成电路（VLSI） 将研究所提出的算法的实现。 结果 调查将适用于这样的沟通问题， 数据传输中符号间和信道间干扰 信号处理问题，如噪声中的语音分析。

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.