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Image Search Results
Journal: Sensors (Basel, Switzerland)
Article Title: A Comparison of Surrogate Behavioral Models for Power Amplifier Linearization under High Sparse Data
doi: 10.3390/s22197461
Figure Lengend Snippet: Modeling extraction and evaluation for the LTE 10-MHz and construction process of the AM-AM PA model for the DPD output linearization with CS model basis for a z ( n ) PD model normalization ≤ = 0.9999 after 5 iterations reach an NMSE − 48.7995 @ 2.45 GHz.
Article Snippet: Therefore, the setup for NMSE, PAPR, and ACPR is calculated in
Techniques: Extraction
Journal: Sensors (Basel, Switzerland)
Article Title: A Comparison of Surrogate Behavioral Models for Power Amplifier Linearization under High Sparse Data
doi: 10.3390/s22197461
Figure Lengend Snippet: PSD for the LTE 10-MHz PA output signal and the CS prediction model with the actual predistorter z ( n ) model normalization ≤ = 0.9999 after 5 iterations reach an NMSE= − 48.7995 @ 2.45 GHz.
Article Snippet: Therefore, the setup for NMSE, PAPR, and ACPR is calculated in
Techniques:
Journal: Sensors (Basel, Switzerland)
Article Title: A Comparison of Surrogate Behavioral Models for Power Amplifier Linearization under High Sparse Data
doi: 10.3390/s22197461
Figure Lengend Snippet: NMSE and runtime convergence for the LTE 10-MHz and LTE 15-MHz signals.
Article Snippet: Therefore, the setup for NMSE, PAPR, and ACPR is calculated in
Techniques:
Journal: Sensors (Basel, Switzerland)
Article Title: A Comparison of Surrogate Behavioral Models for Power Amplifier Linearization under High Sparse Data
doi: 10.3390/s22197461
Figure Lengend Snippet: Performance comparison with some Machine Learning-based algorithms.
Article Snippet: Therefore, the setup for NMSE, PAPR, and ACPR is calculated in
Techniques: Comparison