@article{wu_sa o'neill_brousseau_mcconnell_shultz_linderman_feldheim_2000, title={Synthesis of nanometer-sized hollow polymer capsules from alkanethiol-coated gold particles}, ISSN={["1359-7345"]}, DOI={10.1039/b001019g}, abstractNote={A tripodal alkythiolate ligand has been assembled on gold
nanoparticles, which upon metathesis polymerization and particle etching,
yields crosslinked spherical hollow polymer capsules.}, number={9}, journal={CHEMICAL COMMUNICATIONS}, author={Wu, ML and SA O'Neill and Brousseau, LC and McConnell, WP and Shultz, DA and Linderman, RJ and Feldheim, DL}, year={2000}, pages={775–776} }
@article{huang_shen_long_wu_shih_zheng_yen_tung_liu_1998, title={The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis}, volume={454}, ISSN={["1471-2946"]}, DOI={10.1098/rspa.1998.0193}, abstractNote={A new method for analysing nonlinear and non-stationary data has been developed. The key part of the method is the ‘empirical mode decomposition’ method with which any complicated data set can be decomposed into a finite and often small number of ‘intrinsic mode functions’ that admit well-behaved Hilbert transforms. This decomposition method is adaptive, and, therefore, highly efficient. Since the decomposition is based on the local characteristic time scale of the data, it is applicable to nonlinear and non-stationary processes. With the Hilbert transform, the ‘instrinic mode functions’ yield instantaneous frequencies as functions of time that give sharp identifications of imbedded structures. The final presentation of the results is an energy-frequency-time distribution, designated as the Hilbert spectrum. In this method, the main conceptual innovations are the introduction of ‘intrinsic mode functions’ based on local properties of the signal, which make the instantaneous frequency meaningful; and the introduction of the instantaneous frequencies for complicated data sets, which eliminate the need for spurious harmonics to represent nonlinear and non-stationary signals. Examples from the numerical results of the classical nonlinear equation systems and data representing natural phenomena are given to demonstrate the power of this new method. Classical nonlinear system data are especially interesting, for they serve to illustrate the roles played by the nonlinear and non-stationary effects in the energy-frequency-time distribution.}, number={1971}, journal={PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES}, author={Huang, NE and Shen, Z and Long, SR and Wu, MLC and Shih, HH and Zheng, QN and Yen, NC and Tung, CC and Liu, HH}, year={1998}, month={Mar}, pages={903–995} }