With the development of big data, the need for realtime dataprocessing becomes more urgent. However, the complexity of the big data business causes the current data components to not be well supported. For this reaso...
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Aiming at the nonlinear distortion problem of ROF, the common parameters for evaluating ROF linearity and the nonlinear distortion components commonly used in ROF links are analyzed by theoretical derivation and ROF l...
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ISBN:
(纸本)9781450366380
Aiming at the nonlinear distortion problem of ROF, the common parameters for evaluating ROF linearity and the nonlinear distortion components commonly used in ROF links are analyzed by theoretical derivation and ROF link characteristics. A push-pull structure combined with adaptive compensation algorithm is proposed. The method was verified by simulation. For the tested two-tone signal, the simulation results show that the method can eliminate the IMD2, HD2, IMD3 and XMD distortion components at the same time.
This article proposes a sector model early warning method based on ELM theory, with the background of big dataprocessing cluster technology. A fault early warning model is established using naive Bayesian algorithm c...
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Nowadays, when studying and analyzing problems, the previous conventional analysis methods are obviously difficult to meet our needs in such a huge data scale environment. At the same time, the emergence of web crawle...
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The system identification is very useful For testing the inherent characteristics of radar systems and their subsystems. This paper discusses the application of signalprocessing to the identification and diagnosis of...
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ISBN:
(纸本)7505338900
The system identification is very useful For testing the inherent characteristics of radar systems and their subsystems. This paper discusses the application of signalprocessing to the identification and diagnosis of radar system. By using m sequence and correlation processing for the measured data with the established file, alize fault diagnosis.
To solve the serious waveform distortion and high computational complexity of existing methods for discrete spectral interference (DSI) suppression in partial discharge (PD), this paper presents a time-frequency hybri...
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This paper presents the approach and results of USC SAIL39;s submission to the signalprocessing Grand Challenge 2023 - e-Prevention (Task 2), on detecting relapses in psychotic patients. Relapse prediction has prov...
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For the detection of server signal lights in data centers, challenges arise due to the small size of the lights and various factors such as visual quality, diversity, occlusion, and interference, which can affect the ...
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The popularity of software defined radio (SDR) compels the implementation of intricate digital signalprocessing algorithms on field-programmable gate arrays (FPGA). Traditional digital sampling conversion is a fundam...
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The system that this paper deals about is one stationary bistatic SAR using ultra wide band chirp pulse. Because of the large bandwidth, the echo signal is mixed with the transmitted signal. Then the mixed signal is s...
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