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NASA Scientific and Technical Aerospace Reports

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20040073805 Naval Postgraduate School, Monterey, CA<br />

Signal Enhancement Using Time-Frequency Based Denoising<br />

Hughes, John B.; Mar. 2003; 125 pp.; In English; Original contains color illustrations<br />

Report No.(s): AD-A422822; No Copyright; Avail: CASI; A06, Hardcopy<br />

This thesis investigates <strong>and</strong> compares time <strong>and</strong> wavelet-domain denoising techniques where received signals contain<br />

broadb<strong>and</strong> noise. We consider how time <strong>and</strong> wavelet- domain denoising schemes <strong>and</strong> their combinations compare in the mean<br />

squared error sense. This work applies Wiener prediction <strong>and</strong> Median filtering as they do not require any prior signal<br />

knowledge. In the wavelet-domain we use soft or hard thresholding on the detail coefficients. In addition, we explore the effect<br />

of these wavelet-domain thresholding techniques on the coefficients associated with cycle-spinning <strong>and</strong> the newly proposed<br />

recursive cycle-spinning scheme. Finally, we note that thresholding does not make an attempt to de-noise coefficients that<br />

remain after thresholding; therefore we apply time domain techniques to the remaining detail coefficients from the first level<br />

of decomposition in an attempt to de-noise them further prior to reconstruction. This thesis applies <strong>and</strong> compares these<br />

techniques using a mean squared error criterion to identify the best performing in a robust test signal environment. We find<br />

that soft thresholding with Stein’s Unbiased Risk Estimate (SURE) thresholding produces the best mean squared error results<br />

in each test case <strong>and</strong> that the addition of Wiener prediction to the first level of decomposition coefficients leads to a slightly<br />

enhanced performance. Finally, we illustrate the effects of denoising algorithms on longer data segments.<br />

DTIC<br />

Algorithms; Augmentation; Frequencies<br />

70<br />

PHYSICS (GENERAL)<br />

Includes general research topics related to mechanics, kinetics, magnetism, <strong>and</strong> electrodynamics. For specific areas of physics see<br />

categories 71 through 77. For related instrumentation see 35 Instrumentation <strong>and</strong> Photography; for geophysics, astrophysics, or solar<br />

physics see 46 Geophysics, 90 Astrophysics, or92 Solar Physics.<br />

20040068234 Lockheed Martin Corp., Syracuse, NY, USA<br />

Experimental <strong>and</strong> Numerical Investigation of Impinging Jet Flow in Square Ducts Intersecting at 90 degrees<br />

Corson, D.; Vassallo, P.; Oct. 2003; 54 pp.; In English<br />

Report No.(s): DE2004-822274; LM-03K110; No Copyright; Avail: Department of Energy Information Bridge<br />

An experimental <strong>and</strong> numerical investigation has been conducted on flow through two square ducts with a 2:1 hydraulic<br />

diameter ratio joined at a right angle. Measurements of the velocity field were acquired using a laser Doppler velocimeter at<br />

various planar locations throughout the ducts at a nominal Reynolds number of 68, 000. Pressure drop measurements were<br />

taken for 3 Reynolds numbers between 46,000 <strong>and</strong> 93,000. Computational fluid dynamics (CFD) analyses were performed<br />

using STAR-CD to determine how well the experimental data could be predicted using the k-(var-epsilon), k-(var-epsilon)<br />

RNG, k-(var-epsilon)Chen, k-(var-epsilon) quadratic, k-(omega), <strong>and</strong> Spalart-Allmaras models. The results show that there are<br />

distinct differences in the CDF results. The st<strong>and</strong>ard k-(var-epsilon) model overpredicted the loss coefficient by 4% <strong>and</strong><br />

underpredicted the exit swirl magnitude by 43%. The best predictor of the swirl decay was found to be the k-(omega) model,<br />

which adequately followed the data throughout the entire geometry <strong>and</strong> underpredicted the exit swirl by 16%. The best overall<br />

model was found to be Spalart-Allmaras, which overpredicted the loss coefficient by 2% <strong>and</strong> underpredicted the exit swirl<br />

magnitude by 40%.<br />

NTIS<br />

Decay; Hydraulics; Ducts<br />

20040068235 Lockheed Martin Corp., Syracuse, NY, USA<br />

Ohmic Contacts to n-type GaSb <strong>and</strong> n-type GaInAsSb<br />

Huang, R. K.; Wang, C. A.; Harris, C. T.; Connors, M. K.; Shiau, D. A.; Jun. 2003; 22 pp.; In English<br />

Report No.(s): DE2004-822096; LM-03K059; No Copyright; Avail: Department of Energy Information Bridge<br />

No abstract available<br />

Gallium Arsenides; N-Type Semiconductors<br />

20040068241 Lawrence Livermore National Lab., Livermore, CA<br />

Thick Liquid-Walled Spheromak Magnetic Fusion Power Plant. Revision 1<br />

Moir, R. W.; Bulmer, R. H.; Fowler, T. K.; Rognlien, T. D.; Youssef, M. Z.; Oct. 03, 2002; In English<br />

Report No.(s): DE2003-15004532; UCRL-ID-148021-R1; No Copyright; Avail: National <strong>Technical</strong> Information Service<br />

(NTIS)<br />

231

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