A financial cost metric for result caching

Download

index.pdf

Date

2013-09-02

Author

Sazoglu, Fethi Burak
Cambazoglu, B. Barla
Ozcan, Rifat
Altıngövde, İsmail Sengör
Ulusoy, Özgür

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

172
views

0
downloads

Interpolation is an important problem of signal processing. Even though there are several methods for interpolation, it is still an open problem. In this paper, we propose a new method for interpolation with certain advantages compared to the previous methods. The proposed method is based on the least squares error optimum design of the interpolating filter. Interpolating filter is chosen as the Kaiser filter since it can be configured in a variety of shapes by the appropriate choice of cut-off and shape parameters. Proposed method can be seen as the generalization of the spline interpolator by employing, a Kaiser filter. It is shown that the proposed interpolator performs much better than any of its competitors when the signal is at least approximately bandlimited.

URI

https://hdl.handle.net/11511/47050

DOI

https://doi.org/10.1145/2484028.2484182

Collections

Department of Computer Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

A new method for signal interpolation Tuncer, Temel Engin (2006-04-19) Interpolation is an important problem of signal processing. Even though there are several methods for interpolation, it is still an open problem. In this paper, we propose a new method for interpolation with certain advantages compared to the previous methods. The proposed method is based on the least squares error optimum design of the interpolating filter. Interpolating filter is chosen as the Kaiser filter since it can be configured in a variety of shapes by the appropriate choice of cut-off and shape pa...
A new method for D-dimensional exact deconvolution Tuncer, Temel Engin (1999-05-01) Deconvolution is an important problem of signal processing, and conventional approaches. including Fourier methods, have stability problems due to the zeros of the convolution kernel. In this paper, we present a new method of multidimensional exact deconvolution. This method is always stable, even when the convolution kernel h(n) has zeros on the unit circle, and there exist closed-form solutions for the one-dimensional (1-D) case (D = 1). For the multidimensional case (D > 1), the proposed method yields st...
A Complexity-Reduced ML Parametric Signal Reconstruction Method Deprem, Z.; Leblebicioğlu, Mehmet Kemal; ARIKAN, Orhan; ÇETİN, AHMET ENİS (2011-01-01) The problem of component estimation from a multicomponent signal in additive white Gaussian noise is considered. A parametric ML approach, where all components are represented as a multiplication of a polynomial amplitude and polynomial phase term, is used. The formulated optimization problem is solved via nonlinear iterative techniques and the amplitude and phase parameters for all components are reconstructed. The initial amplitude and the phase parameters are obtained via time-frequency techniques. An al...
A METHOD FOR COMPARATIVE-EVALUATION OF EIT ALGORITHMS USING A STANDARD DATA SET IDER, YZ; EYUBOGLU, BM; KUZUOGLU, M; Leblebicioğlu, Mehmet Kemal; BAYSAL, U; CAGLAR, BK; BIRGUL, O (IOP Publishing, 1995-08-01) The point spread function (PSF) is the most widely used tool for quantifying the spatial resolution of imaging systems. However, prerequisites for the proper use of this tool are linearity and space invariance. Because EIT is non-linear it is only possible to compare different reconstruction algorithms using a standard data set. In this study, the FEM is used to generate simulation data, which are used to investigate the non-linear behaviour of EIT, the space dependence of its PSF and its capability of reso...
AN UNSUPERVISED AUDIO SEGMENTATION METHOD USING BAYESIAN INFORMATION CRITERION Ozan, Ezgi Can; Tankiz, Seda; Acar, Banu Oskay; Çiloğlu, Tolga (2014-05-23) Audio segmentation is a well-known problem which can be considered from various angles. In the context of this paper, audio segmentation problem is to extract small "homogeneous" pieces of audio in which the content does not change in terms of the present audio events. The proposed method is compared with the well-known segmentation method; Bayesian Information Criterion (BIC) based Divide-and-Conquer, in terms of average segment duration and computational complexity.

Citation Formats

F. B. Sazoglu, B. B. Cambazoglu, R. Ozcan, İ. S. Altıngövde, and Ö. Ulusoy, “A financial cost metric for result caching,” 2013, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/47050.