论文信息 - Neural network wavelet technology: A frontier of automation

Neural network wavelet technology: A frontier of automation

Neural networks are an outgrowth of interdisciplinary studies concerning the brain. These studies are guiding the field of Artificial Intelligence towards the, so-called, 6th Generation Computer. Enormous amounts of resources have been poured into R/D. Wavelet Transforms (WT) have replaced Fourier Transforms (FT) in Wideband Transient (WT) cases since the discovery of WT in 1985. The list of successful applications includes the following: earthquake prediction; radar identification; speech recognition; stock market forecasting; FBI finger print image compression; and telecommunication ISDN-data compression.

Harold Szu

[1] Harold Szu. Why the soliton wavelet transform is useful for nonlinear dynamic phenomena , 1992, Defense, Security, and Sensing.

[2] Harold H. Szu,et al. Parallel discrete and continuous wavelet transforms , 1992 .

[3] Harold H. Szu,et al. Representation and classification of unvoiced sounds using adaptive wavelets , 1993, Defense, Security, and Sensing.

[4] Mohan Malkani,et al. Speaker recognition using neural network and adaptive wavelet transform , 1993, Defense, Security, and Sensing.

[5] Harold H. Szu,et al. New wavelet transform normalization to remove frequency bias , 1992 .