Presidential Young Investigator Award: Signal Interpretation and Representation Using Neural Architectures

扎霍尔 这项研究包括信号和图像的表示，合成和恢复，以及多分辨率分解的适用性，各类信号和信号处理算法的相关问题。 这些包括传统小波分析适用的分形类型的信号，以及那些最好由不同分辨率的不同滤波器表示的信号。 对于后一类信号，正在开发影响多分辨率分解的自适应子带编码算法。

Zakhor This research incorporates signal and image representation, synthesis and restoration, and issues related to the applicability of multiresolution decompositions to various classes of signals and signal processing algorithms. These include fractal-type signals to which traditional wavelet analysis applies, and those which are best represented by different filters at different resolutions. For the latter class of signals, an adaptive subband coding algorithm is being developed that affects the multiresolution decompositions.