نتایج جستجو برای: least square spectral analysis lssa

تعداد نتایج: 3289279  

Journal: :journal of medical signals and sensors 0
mina jamshidia hossein rabbani zahra amini raheleh kafieh abbas ommani vasudevan lakshminarayanand

localizing the optic disc (od) in retinal fundus images is of critical importance, since it is very similar to hard exudates (found in pathology) in color and brightness. because of the importance of od localization in clinical applications, many techniques have been developed. in this paper, we present the results obtained from two methods, correlation and least square, to approximate the opti...

2002
MAHMUT YALÇIN AYDIN AKAN

We present a multi–window method for obtaining the time-frequency spectrum of a non–stationary signal. This method is based on optimal combination of evolutionary spectra that are calculated by using multi– window Gabor expansion. The optimal weights are obtained by using a least square estimation method. An error criterion that is the difference between a reference time–frequency distribution ...

2015
Yang Li Mingye Guo Xinyuan Shi Zhisheng Wu Jianyu Li Qun Ma Yanjiang Qiao

BACKGROUND This study aims to analyze the active pharmaceutical ingredients (APIs) of licorice (Radix Glycyrrhizae; gancao), including glycyrrhizic acid, liquiritin, isoliquiritin and total flavonoids, in multi-ingredient and multi-phase extraction by online near-infrared technology with fiber optic probes and chemometric analysis. METHODS High-performance liquid chromatography and ultraviole...

Journal: :International Journal of Computer Applications 2015

Journal: :IEEE Transactions on Circuits and Systems II: Express Briefs 2021

1996
Jens Gayko Christian Goerick

We present an application of artiicial neural networks to monitoring the tyre pressure of cars using acoustic data derived from vibrations recorded by an accelerometer. As a preprocessing step for feature extraction we perform a spectral analysis of the sound data. The components of the estimated power density spectrum are used as input patterns for the neural estimator. These patterns are used...

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