Results 241 to 250 of about 38,801 (275)
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The College Mathematics Journal, 1998
(1998). Undersampled Sine Waves. The College Mathematics Journal: Vol. 29, No. 3, pp. 213-218.
Jean-Claude Derderian +1 more
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(1998). Undersampled Sine Waves. The College Mathematics Journal: Vol. 29, No. 3, pp. 213-218.
Jean-Claude Derderian +1 more
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Calibrating Probability with Undersampling for Unbalanced Classification
2015 IEEE Symposium Series on Computational Intelligence, 2015Under sampling is a popular technique for unbalanced datasets to reduce the skew in class distributions. However, it is well-known that under sampling one class modifies the priors of the training set and consequently biases the posterior probabilities of a classifier.
Andrea Dal Pozzolo +3 more
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Complex pupil retrieval with undersampled data
Journal of the Optical Society of America A, 2009The ability to retrieve the complex-valued, generalized pupil function of an imaging system from undersampled measurements of the defocused system point spread function (PSF) is examined through numerical simulations. The ability to do so degrades as the detector pixel pitch increases when using a fixed number of PSF measurements.
Samuel T, Thurman, James R, Fienup
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An empirical comparison of repetitive undersampling techniques
2009 IEEE International Conference on Information Reuse & Integration, 2009A common problem for data mining and machine learning practitioners is class imbalance. When examples of one class greatly outnumber examples of the other class(es), traditional machine learning algorithms can perform poorly. Random undersampling is a technique that has shown great potential for alleviating the problem of class imbalance.
Jason Van Hulse +2 more
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Transponder with undersampling method
2009 3rd IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2009A transponder can encode the signal transmitted by synthetic aperture radar (SAR). The reflected signal from the encoding transponder to SAR can be imaged with the background clutters suppressed. One type of encoding transponder inverts the chirp slope of a linear frequency modulation (LFM) signal transmitted by the SAR.
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Markov processes: Estimation in the undersampled regime
2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2013We observe a length-n sample generated by an unknown, stationary ergodic Markov process (model) over a finite alphabet A. In this paper, we do not assume any bound on the memory of the source, nor do we assume that the source is rapidly mixing. Rather we consider a class Md of all Markov sources where for all i ∈ ℕ, the mutual information between bits ...
Meysam Asadi +2 more
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An FM demodulation algorithm with an undersampling rate
2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2004The existing method for sampling a modulated signal is the same as that for a non-modulated message signal. Therefore, the quadrature sampling rate for a modulated signal must be larger than its bandwidth. However, a new algorithm, which can recover completely a DC-free message signal from an FM signal at a sampling rate less than its bandwidth, is ...
Yiyuan Xiong +4 more
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Dislaying undersampled imagery
Optical Engineering, 1994Standard digital video displays use 640 x 480 (NTSC) or 512 x 512 (PAL) pixels to display a full screen image, while observers searching such images for small targets (or reading text) will typically operate with a screen subtense of 25 x 35 deg. Often, however, the region of interest in these images may be about 100 x 100 pixels in size, and so ...
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Gabor transform with undersampling
Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96), 2002We investigate discrete Gabor transforms with undersampling. For an undersampled Gabor triple (g,a,b) (i.e.,a.b>N), we show that the associated generalized dual Gabor wavelet is the same as the one associated to (g,b/spl tilde/,a/spl tilde/), except for the redundancy constant factor.
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Radial-based undersampling approach with adaptive undersampling ratio determination
Neurocomputing, 2023Bo Sun +8 more
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