2004
DOI: 10.1515/freq.2004.58.7-8.185
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Spectral Analysis and Linear Prediction Toolbox for Stationary and Non-Stationary Signals

Abstract: TTiis paper describes a toolbox tor the application in the field of 'Spectral Analysis & Linear Prediction' that can be used with MATLAB 0 . This tool collection has been developed, implemented and utilized by the department of RF-Techniques/Communicatbn Systems at the University of Kassel in context with analyzing and predicting the mobile radio channel. The toolbox as well as a brief installation and reference guide is available for download from the department of RF-Techniques/Communication Systems homepage. Show more

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Cited by 3 publications
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“…The main drawback of the Bartlett APS is its high side-lobes. Hence, we used the SAGE super-resolution algorithm [8] (implementation from [9]) to estimate the set of complex amplitude, AoA, and AoD, from each realisation H i . A model order of 10 (which corresponds to the 10 strongest paths of each channel realisation) was chosen because the visualization produced best results, using the algorithm we will describe presently.…”
mentioning
confidence: 99%
“…The main drawback of the Bartlett APS is its high side-lobes. Hence, we used the SAGE super-resolution algorithm [8] (implementation from [9]) to estimate the set of complex amplitude, AoA, and AoD, from each realisation H i . A model order of 10 (which corresponds to the 10 strongest paths of each channel realisation) was chosen because the visualization produced best results, using the algorithm we will describe presently.…”
mentioning
confidence: 99%