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Your search keyword '"*DIGITAL filters (Mathematics)"' showing total 2 results
Start Over Descriptor "*DIGITAL filters (Mathematics)" Topic algorithms Topic digital signal processing Topic filter banks
2 results on '"*DIGITAL filters (Mathematics)"'

1. Recursive algorithm to directly obtain the sum of correlations in a CSS

Author

De Marziani, Carlos, Ureña, Jesús, Hernández, Álvaro, García, Juan Jesús, Álvarez, Fernando J., Jiménez, Ana, and Pérez, Ma Carmen

Subjects
*TELECOMMUNICATION systems, *MATHEMATICAL sequences, *DIGITAL filters (Mathematics), *AUTOCORRELATION (Statistics), *ALGORITHMS, *CODE division multiple access, *DIGITAL signal processing, *CORRELATORS
Abstract

Abstract: This paper presents a new recursive algorithm to directly obtain the sum of the autocorrelation functions of the M sequences belonging to a Complementary Set of Sequences (M-CSS). The proposed algorithm allows a digital filter with only one stage to be obtained, what significantly reduces the total number of memory requirements, multiplications and additions to be performed in comparison with the use of M correlators, even when these correlators could have an efficient implementation. The use of this algorithm can be of great relevancy since there is an increasing interest in the use of CSS (or derived sequences such as Loosely Synchronized—LS-sequences or Zero Correlation Zone—ZCZ-sequences) in the field of communications and sensor systems. [Copyright &y& Elsevier]

Published
2011
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2. Spectral analysis of atmospheric radar signal using filter banks — polyphase approach

Author

Sreenivasulu Reddy, T. and Ramachandra Reddy, G.

Subjects
*DIGITAL signal processing, *RADAR, *DIGITAL filters (Mathematics), *SPECTRUM analysis, *SIGNAL-to-noise ratio, *ALGORITHMS, *ANALYSIS of variance
Abstract

Abstract: This paper proposes a new non-parametric method to estimate the power spectral density of atmospheric radar signals using uniform filter banks through polyphase approach. The performance of proposed method is investigated for a simulated broadband and narrowband signals. This method reduces the variance without affecting the resolution and improves the signal to noise ratio significantly when compared to the existing method (periodogram/modified periodogram). The variance reduction is observed to be more in case of narrowband signals. The method has the computational cost similar to modified periodogram approach. This method is tested for practical atmospheric data collected at NARL, Gadanki, India, through the mesosphere–stratosphere–troposphere (MST) radar, back scattered echoes, in particular from high altitudes, which has low signal to noise ratio. Results have been validated using simultaneous Global Positioning System (GPS) Sonde data. [Copyright &y& Elsevier]

Published
2010
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