Automatic Modulation Classification and its Applications . 63
Automatic Discrete Modulation Classification
... IJSRR, 7(1) Jan –March. 2018 Page 494 CONCLUSION In this postulation, a writing audit of the past strategy for regulation order has been done and a standout amongst the most surely understood methodologies has been ...
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Automatic Modulation Classification for Cognitive Radio
... of modulation schemes, because of the uniqueness in their CDP ...signal modulation types can be determined quickly and ...levels.Automatic Modulation Classification not only gives the ...
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Automatic Modulation Classification in Mobile OFDM Systems with Adaptive Modulation
... feature-based modulation classification was not suitable for the problem stated here mainly due to two reasons: 1, the modulation candidates stem from the same modulation class resulting in ...
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Automatic Modulation Classification for Adaptive Wireless OFDM Systems
... However, we expect further potential in jointly optimizing the adaptive modulation at the transmitter and the automatic modulation classification at the receiver side. 4. Overall system performance ...
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Blind equalization and automatic modulation classification based on PDF fitting
... 4. SIMULATION RESULTS In this part, we show the results obtained with the complex channel [12] with the same parametres detailed in section 2.1. Figure 3 shows the probability of correct classification (Pcc) in ...
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Trends in Automatic Modulation Classification for Advanced Data Communication Networks
... any classification algorithm and chosen feature set should characterize the underlying modulation type ...for classification but are not practical system ...of modulation types without any ...
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Automatic modulation classification of digital modulations in presence of HF noise
... an automatic modulation classifier (AMC) for high frequency (HF) band is a research ...the classification of FSK, PSK, OQPSK, QAM, and amplitude-phase shift keying modulations in presence of HF noise ...
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Automatic classification of facial morphology for medical applications
... and classification play important role in the face anthropometry of many medical ...an automatic method to extract morphological measurements and interpret them is ...an automatic method for ...
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Techniques and Applications of Automatic Tube Current Modulation for CT 1
... line modulation technique was docu- mented ...angular modulation, tube current is held constant over the 360° ro- tation, regardless of the patient attenua- tion ...the modulation function (an ...
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Cumulant-Based Automatic Modulation Classification Over Frequency-Selective Channels
... Abstract— Automatic modulation classification (AMC), being an integral part of multi-standard communication systems, allows for the identification of modulation schemes of detected ...blind ...
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Automatic Modulation Classification Using Cyclic Features via Compressed Sensing
... 1.2 Automatic Modulation Classification Cognitive radios are usually designed to be Secondary Users (SUs) of the ...whether its transmissions are interfering with the PU’s ability to ...their ...
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An Ensemble Automatic Modulation Classification Model With Weight Pruning and Data Preprocessing
... select the CD having a size of 0.015 × 0.015 for the RadioML dataset to avoid the overlapping of constellation points and include as more signal points as possible. The carrier phase shift from a reference phase is equal ...
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On traffic classification and its applications in the Internet
... streams that are different. All in all, detecting applications using the TCP/UDP port numbers for better service is somewhat problematic. It should be noted that other combinations of masks and basic measurements ...
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Automatic Discovery of Manner Relations and its Applications
... 7 Learning Algorithm and Results 7.1 Experimental Results As a learning algorithm we use a Naive Bayes clas- sifier, well known for its simplicity and yet good per- formance. We trained our models with the ...
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Automatic Detection and Classification of Audio Events for Road Surveillance Applications
... The state-of-the-art approaches for audio-based surveillance can be classified into two main categories, depending upon the architecture used for classification [16]. Methods residing in the primary category rely ...
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Deep Learning and Polar Transformation to Achieve a Novel Adaptive Automatic Modulation Classification Framework
... the classification accuracy of low-order modulation schemes under harsh environmental ...to its simple classification ...increase its total computational complexity, which hinders ...
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Automatic modulation classification using interacting multiple model - Kalman filter for channel estimation
... for classification in ...classify modulation within a subclass, which was referred to as micro ...A modulation-constrained clustering with unknown channel matrix and noise variance for multiple-input ...
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Dimensionality Reduction and Improving the Performance of Automatic Modulation Classification using Genetic Programming (RESEARCH NOTE)
... a modulation interval is an efficient tool for minimizing the possibility of other modulations occurrence in its ...parts: modulation limit and a metric for measuring uncertainty level in the ...
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Automatic Modulation Classification of Common Communication and Pulse Compression Radar Waveforms using Cyclic Features
... for classification become less reliable and classification performance ...The classification system’s performance su ff ers when the received signal bandwidth di ff ers from the training signal’s ...
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Index Modulation-Aided Orthogonal Frequency Division Multiplexing and Its Applications
... several modulation techniques were suggested for UWA communications among which OFDM is generally accepted as a major contender since it offers ability to overcome the intersymbol interference (ISI) caused by the ...
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