NASA Scientific and Technical Aerospace Reports
NASA Scientific and Technical Aerospace Reports
NASA Scientific and Technical Aerospace Reports
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A new approach to making voiced/unvoiced decisions is presented. The technique is very accurate <strong>and</strong> dynamically adapts<br />
to a wide range of environments. Reliable decisions are achieved by using a weighted sum of multiple speech parameters.<br />
Instead of using discriminant analysis to determine the optimal weights, voiced <strong>and</strong> unvoiced frames are separated into two<br />
clusters by a multivariate clustering algorithm. Since cluster analysis requires no prior voicing information, the decision rule<br />
is computed from the incoming speech rather than from a training set. An adaptive clustering algorithm is derived which<br />
continuously adjusts the weights in response to changing speech characteristics.<br />
Author<br />
Multivariate Statistical Analysis; Cluster Analysis; Algorithms; Discriminant Analysis (Statistics); Distortion; Noise (Sound)<br />
20060001728 Naval Underwater Systems Center, New London, CT, USA<br />
High Resolution Time Delay Estimation<br />
Kirsteins, Ivars P.; IEEE International Conference on Acoustics, Speech, <strong>and</strong> Signal Processing (ICASSP ‘87); Volume 1;<br />
1987, pp. 12.5.1 - 12.5.4; In English; See also 20060001583; Copyright; Avail.: Other Sources<br />
A new method is presented for estimating the arrival times of deterministic signal pulses that are separated by less than<br />
the duration of the signal autocorrelation function. The method is based on the observation that if the signal has a flat<br />
b<strong>and</strong>-limited spectrum, then the maximum-likelihood estimator for the signal time of arrivals can be approximately<br />
implemented as an unweighted least-squares exponential fitting problem. An improved linear prediction algorithm for high<br />
resolution exponential parameter estimation is then used to estimate the time arrivals. The proposed method is tested via<br />
computer simulation <strong>and</strong> it’s performance is compared against the Cramer-Rao lower bound.<br />
Author<br />
Time Lag; High Resolution<br />
20060001729 Centre National de la Recherche Scientifique, Saint Martin d’Heres, France<br />
Time Delay Estimation by Autoregressive Modelization<br />
Pallas, M. A.; Martin, N.; Martin, J.; IEEE International Conference on Acoustics, Speech, <strong>and</strong> Signal Processing (ICASSP<br />
‘87); Volume 1; 1987, pp. 12.6.1 - 12.6.4; In English; See also 20060001583; Copyright; Avail.: Other Sources<br />
From an active underwater acoustics experiment, we intend to estimate the time delays of the multipath propagation, in<br />
the case where the time differences of arrival are not large enough to be treated by classical methods. After estimating the<br />
propagation filter transfer function, we apply the autoregressive modelization to these frequential data. We deduce the delays<br />
values from the poles locations of the AR model. Simulations of the processing are presented. Finally, the method is applied<br />
to real data.<br />
Author<br />
Time Lag; Simulation; Transfer Functions<br />
20060001820 Maryl<strong>and</strong> Univ., Baltimore, MD USA<br />
Strategies <strong>and</strong> Heuristics Used by the UMBCTAC Agent in the Third Trading Agent Competition<br />
Ding, Li; Finin, Tim; Shi, Youngmei; Zou, Youyong; Ding, Zhongli; Pan, Rong; Jan. 1, 2005; 8 pp.; In English; Original<br />
contains color illustrations<br />
Contract(s)/Grant(s): F30602-97-1-0215<br />
Report No.(s): AD-A440305; No Copyright; Avail.: Defense <strong>Technical</strong> Information Center (DTIC)<br />
The UMBCTAC agent was one of the top ranked agents in the third international Trading Agent Competition (TAC’02).<br />
This paper describes <strong>and</strong> evaluates the key heuristics used by UMBCTAC. including the early bird heuristic, the balance<br />
heuristic, <strong>and</strong> the separation heuristic. We developed a simple gain- risk model to search safe <strong>and</strong> profitable allocations for<br />
hotel rooms <strong>and</strong> airline tickets. We also used a novel probabilistic approach to dynamically allocate entertainment tickets <strong>and</strong><br />
bid in entertainment auctions. We conclude with a description of ongoing <strong>and</strong> planned work.<br />
DTIC<br />
Competition; Heuristic Methods; Probability Theory<br />
20060001825 Maryl<strong>and</strong> Univ. Baltimore County, Catonsville, MD USA<br />
Estimation of Subpixel Target Size for Remotely Sensed Imagery<br />
Chang, Chein-I; Ren, Hsuan; Chang, Chein-Chi; D’Amico, Francis; Jensen, James O.; Jun. 1, 2004; 13 pp.; In English<br />
Report No.(s): AD-A440318; No Copyright; Avail.: Defense <strong>Technical</strong> Information Center (DTIC)<br />
One of the challenges in remote sensing image processing is subpixel detection where the target size is smaller than the<br />
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