Results 161 to 170 of about 34,727 (183)

Composing the value signal for dopamine-mediated learning

Mahajan P, Seymour B.
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Lossy Infrared Image Compression Based on Wavelet Coefficient Probability Modeling and Run-Length-Enhanced Huffman Coding. [PDF]

Sensors (Basel)
Zhu Y, Liu Y, Zhu Y, Huang M, Jiang J, Zhang Y.   +5 more
europepmc   +1 more source

Pharmacological role of <i>Herba Patriniae</i> and <i>Coix</i> seed in colorectal cancer.

World J Gastrointest Oncol
Zhang YX, Wan H, Shan GY, Cheng JY, Liu YY, Shi WN, Li HJ.   +6 more
europepmc   +1 more source

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Lossless hyperspectral compression using KLT

IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004, 2004
We propose an algorithm for the construction of a nearly optimal integer to integer approximation of the Karhunen-Loeve Transform. The algorithm is based on the method of P. Hao and Q. Shi as described in [1] but-unlike described in the paper-we vary the pivoting in order to obtain a better approximation of the linear transform.
L. GALLI, SALZO S
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Adaptive hyperspectral image compression using the KLT and integer KLT algorithms

2014 NASA/ESA Conference on Adaptive Hardware and Systems (AHS), 2014
The use of the Karhunen-Loeve Transform (KLT) for spectral decorrelation in compression of hyperspectral satellite images results in improved performance. However, the KLT algorithm consists of sequential processes, which are computationally intensive, such as the covariance matrix computation, eigenvector evaluation and matrix multiplications.
Chafik Egho, Tanya Vladimirova
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Maccone third KLT theorem: Asymptotic KLT of GBM

2012
Geometric Brownian motion (GBM) (also known as exponential Brownian motion) is a continuous time stochastic process in which the logarithm of the randomly varying quantity follows a Brownian motion. It is used in mathematical finance to model stock prices in the Black–Scholes model (see http://en.wikipedia.org/wiki/ Geometric_Brownian_motion).
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AR-KLT based Hand Tracking

ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication, 2006
This paper proposes a novel real-time robust hand tracking algorithm, integrating multi-cues, and a limb?s degree of freedom. For this purpose, we construct a limb model and maintain the model obtained from KLT-AR methods with respect to second-order auto-regression model and Kanade-Lucas-Tomasi(KLT) features, respectively.
Hye-jin Kim, Keun-chang Kwak, Soo Young Chi, Young-jo Cho   +3 more
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Maccone first KLT theorem: KLT of all timerescaled Brownian motions

2012
In Section 21.4 the problem of finding the KL expansion of standard Brownian motion was solved completely. That was possible because the differential equation for the eigenfunctions was just a simple harmonic oscillator equation, whose solution is trivial.
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Forward adaptive KLT coding

2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009
A framework for implementing the forward adaptive Karhunen-Loeve Transform (FAKLT) is described. Unlike backward adaptive methods, FAKLT computes transform coefficients using basis vectors derived from the most recent signal frame. As a result, it exhibits improved energy compaction compared to the backward adaptive KLT. The method encodes only the KLT
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A simple introduction to the KLT and BAM-KLT

2012
This chapter is a simple introduction about using the Karhunen–Loeve Transform (KLT) to extract weak signals from noise of any kind. In general, the noise may be colored and over wide bandwidths, and not just white and over narrow bandwidths. We show that the signal extraction can be achieved by the KLT more accurately than by the Fast Fourier ...
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