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Sällberg, Benny
Publications (3 of 3) Show all publications
Bartunek, J. S., Nilsson, M., Sällberg, B. & Claesson, I. (2013). Adaptive Fingerprint Image Enhancement With Emphasis on Preprocessing of Data. IEEE Transactions on Image Processing, 22(2), 644-656
Open this publication in new window or tab >>Adaptive Fingerprint Image Enhancement With Emphasis on Preprocessing of Data
2013 (English)In: IEEE Transactions on Image Processing, ISSN 1057-7149, E-ISSN 1941-0042, Vol. 22, no 2, p. 644-656Article in journal (Refereed) Published
Abstract [en]

This article proposes several improvements to an adaptive fingerprint enhancement method that is based on contextual filtering. The term adaptive implies that parameters of the method are automatically adjusted based on the input fingerprint image. Five processing blocks comprise the adaptive fingerprint enhancement method, where four of these blocks are updated in our proposed system. Hence, the proposed overall system is novel. The four updated processing blocks are: 1) preprocessing; 2) global analysis; 3) local analysis; and 4) matched filtering. In the preprocessing and local analysis blocks, a nonlinear dynamic range adjustment method is used. In the global analysis and matched filtering blocks, different forms of order statistical filters are applied. These processing blocks yield an improved and new adaptive fingerprint image processing method. The performance of the updated processing blocks is presented in the evaluation part of this paper. The algorithm is evaluated toward the NIST developed NBIS software for fingerprint recognition on FVC databases.

Place, publisher, year, edition, pages
IEEE, 2013
Keywords
Directional filtering, Fourier transform, image processing, spectral feature estimation, successive mean quantization transform
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-7002 (URN)10.1109/TIP.2012.2220373 (DOI)000314717800019 ()oai:bth.se:forskinfoB04EDCB08DEC540DC1257B2F003ADC77 (Local ID)oai:bth.se:forskinfoB04EDCB08DEC540DC1257B2F003ADC77 (Archive number)oai:bth.se:forskinfoB04EDCB08DEC540DC1257B2F003ADC77 (OAI)
External cooperation:
Available from: 2013-03-18 Created: 2013-03-15 Last updated: 2017-12-04Bibliographically approved
Khan, M. G., Sällberg, B., Nordberg, J., Tufvesson, F. & Claesson, I. (2013). Non-Coherent Fourth-Order Detector for Impulse Radio Ultra Wideband Systems: Empirical Evaluation Using Channel Measurements. Wireless personal communications, 68(1), 27-46
Open this publication in new window or tab >>Non-Coherent Fourth-Order Detector for Impulse Radio Ultra Wideband Systems: Empirical Evaluation Using Channel Measurements
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2013 (English)In: Wireless personal communications, ISSN 0929-6212, E-ISSN 1572-834X, Vol. 68, no 1, p. 27-46Article in journal (Refereed) Published
Abstract [en]

Low-complex and low-power non-coherent energy detectors (EDs) are interesting for low data rate impulse radio (IR) ultra wideband (UWB) systems, but suffer from a loss in performance compared to coherent receivers. The performance of an ED also strongly depends on the integration interval (window size) of the integrator and the window position. This paper presents a non-coherent fourth-order detector (FD) which can discriminate between Gaussian noise signals and non-Gaussian IR-UWB signals by directly estimating the fourth-order moment of the received signal. The performance of the detectors is evaluated using realistic channels measured in a corridor, an office and a laboratory environment. The results show that bit-error-rate (BER) performance of the proposed FD receiver is slightly better than the ED in low signal-to-noise ratio (SNR) region and its performance improves as the SNR increases. In addition, BER of the FD receiver is less sensitive to overestimation of the integration interval making it relatively robust to variations of the channel delay spread. Finally, a criteria for the selection of integration time of the proposed detector is suggested.

Place, publisher, year, edition, pages
Springer, 2013
Keywords
Channel measurements, Higher-order moments, Non-coherent detection, UWB communications
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-6995 (URN)10.1007/s11277-011-0437-x (DOI)000314089600003 ()oai:bth.se:forskinfo067927955D2A3B39C12579740048441F (Local ID)oai:bth.se:forskinfo067927955D2A3B39C12579740048441F (Archive number)oai:bth.se:forskinfo067927955D2A3B39C12579740048441F (OAI)
Available from: 2013-05-07 Created: 2011-12-28 Last updated: 2017-12-04Bibliographically approved
Khan, I., Muthusamy, D., Ahmad, W., Sällberg, B., Nilsson, K., Zackrisson, J., . . . Håkansson, L. (2012). Performing active noise control and acoustic experiments remotely. International Journal of Online Engineering, 8(special issue 2), 65-74
Open this publication in new window or tab >>Performing active noise control and acoustic experiments remotely
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2012 (English)In: International Journal of Online Engineering, ISSN 1868-1646, E-ISSN 1861-2121, Vol. 8, no special issue 2, p. 65-74Article in journal (Refereed) Published
Abstract [en]

This paper presents a novel and advanced remotely controlled laboratory for conducting Active Noise Control (ANC), acoustic and Digital Signal Processing (DSP) experiments. The laboratory facility, recently developed by Blekinge Institute of Technology (BTH) Sweden, supports remote learning through internet covering beginners level such as simple experimental measurements to advanced users and even researchers such as algorithm development and their performance evaluation on DSP. The required software development for ANC algorithms and equipment control are carried out anywhere in the world remotely from an internet-connected client PC using a standard web browser. The paper describes in detail how ANC, acoustic and DSP experiments can be performed remotely The necessary steps involved in an ANC experiment such as validity of ANC, forward path estimation and active control applied to a broad band random noise [0-200Hz] in a ventilation duct will be described in detail. The limitations and challenges such as the forward path and nonlinearities pertinent to the remote laboratory setup will be described for the guidance of the user. Based on the acoustic properties of the ventilation duct some of the possible acoustic experiments such as mode shapes analysis and standing waves analysis etc. will also be discussed in the paper.

Place, publisher, year, edition, pages
Kassel University Press GmbH, 2012
Keywords
Active noise control, Lms, Remote laboratories, Visir
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-6929 (URN)10.3991/ijoe.v8iS4.2304 (DOI)oai:bth.se:forskinfo88F4D6114C97BB86C1257B9B00496A11 (Local ID)oai:bth.se:forskinfo88F4D6114C97BB86C1257B9B00496A11 (Archive number)oai:bth.se:forskinfo88F4D6114C97BB86C1257B9B00496A11 (OAI)
Available from: 2013-07-01 Created: 2013-07-01 Last updated: 2017-12-04Bibliographically approved
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