Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Black-box Modeling and Compensation of Bursty Communication Signals in
  RF Power Amplifiers with Power-Dependent Parameters   This paper presents a new black-box technique for modeling long term memory
effects in radio frequency power amplifiers. The proposed technique extends
commonly used behavioral models by utilizing parameters that dynamically change
depending on a long term memory effect while keeping the original model
structure intact. This enables us to accurately track and model transient
changes in power amplifier characteristics that vary slowly and are induced by
the input signal.
  Identification of long term memory effects is discussed and an iterative
identification algorithm for the model parameters is proposed. The model is
experimentally tested on a 100 Watt Doherty power amplifier with a 4 MHz
Gaussian noise signal that has a step--like change in the amplitude,
representative of a realistic communication signal with bursty behavior and a
20 MHz 3GPP LTE test data. Results of behavioral modeling show a 2-2.5 dB and
5-6 dB improvement in average and peak NMSE modeling performance respectively,
which shows the suitability of the technique to model bursty signals.

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The categories of this paper are: astro-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: physics
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The categories of this paper are: acc-phys
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The categories of this paper are: stat
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The categories of this paper are: hep-ph
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The categories of this paper are: solv-int
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The categories of this paper are: quant-ph
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The categories of this paper are: funct-an
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The categories of this paper are: comp-gas
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The categories of this paper are: chao-dyn
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The categories of this paper are: dg-ga
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The categories of this paper are: eess
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The categories of this paper are: atom-ph
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The categories of this paper are: hep-ex
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The categories of this paper are: alg-geom