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low-complexity detection method

A Practical Method for Range Migration Compensation in Chirp Radar

A Practical Method for Range Migration Compensation in Chirp Radar

... target detection in surveillance radar or the focus of imaging in SAR or ISAR ...processing complexity are the problems facing these methods when used in ...compensation method with low ...

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Low-complexity background subtraction based on spatial similarity

Low-complexity background subtraction based on spatial similarity

... popular method for background subtraction ...object detection algorithm. The method improved the original GMM in order to adapt to sudden or gradual illumination changes ...control method ...

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Low Complexity Approximate Log MAP Detection for MIMO Systems

Low Complexity Approximate Log MAP Detection for MIMO Systems

... SDM detection method, which may be regarded as an advanced extension of the CSD ...the complexity associated with both SOPHIE and soft- output linear MMSE detectors may be shown to be nearly sim- ...

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Low complexity non coherent signal detection for nano scale molecular communications

Low complexity non coherent signal detection for nano scale molecular communications

... from multiple previous slots will occur at time k, as seen from Fig. 10, which would make the one-step SIC detection infeasible. Given the ISI channel of I = 30, the numerically derived BER curve are plotted in ...

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Performance Effective and Low Complexity Redundant Reader Detection in Wireless RFID Networks

Performance Effective and Low Complexity Redundant Reader Detection in Wireless RFID Networks

... coverage detection in sensor ...higher complexity of write-to-tag ...elimination method, termed as LEO, which can improve the shortcoming of the RRE ...

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Low complexity symbol detection method for multilevel 2-D optical storage based on a linear channel model

Low complexity symbol detection method for multilevel 2-D optical storage based on a linear channel model

... further detection iterations do not significantly improve the ...the detection process, it eventually becomes impos- sible to distinguish between symbol values, where their dis- tances based on the symbol ...

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Photorealistic Computer Graphics Identifying Algorithm Based on Improvement Local Binary Pattern

Photorealistic Computer Graphics Identifying Algorithm Based on Improvement Local Binary Pattern

... computational complexity and low detection rate of existing computer-generated image recognition algorithm, in this paper by analyzing the differences between photorealistic computer graphics and ...

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Low complexity antenna selection for V BLAST systems with OSIC detection

Low complexity antenna selection for V BLAST systems with OSIC detection

... selection method in a spatial multiplexing MIMO system using OSIC ...the complexity of the selec- tion process itself, we propose a low complexity selec- tion method using a new ...

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A Novel Low Complexity Low Latency Power Efficient Collision Detection Algorithm for Wireless Sensor Networks

A Novel Low Complexity Low Latency Power Efficient Collision Detection Algorithm for Wireless Sensor Networks

... for low power ...ECC complexity in order to extend the network life- ...Such method is efficient in low SNR but it has a limitation when SNR is ...

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A low-complexity energy disaggregation method : performance and robustness

A low-complexity energy disaggregation method : performance and robustness

... event detection is performed to isolate events when the state of an appliance has ...event detection, feature extraction is applied to isolate power features or signatures from the identified events, and ...

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Exploration of Wireless Multimedia Sensor Network Based on Joint Photographic Experts Group Image Coding Algorithm

Exploration of Wireless Multimedia Sensor Network Based on Joint Photographic Experts Group Image Coding Algorithm

... a low complexity image coding scheme based on change detection and improved Joint Photographic Experts Group (JPEG) algorithm is ...change detection algorithm, that is, the area of ...

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A Real-Time Pulse Peak Detection Algorithm for the Photoplethysmogram

A Real-Time Pulse Peak Detection Algorithm for the Photoplethysmogram

... and low complexity pulse peak detection algorithm using cascaded recursive digital filters and a slope sum function (SSF) with an adaptive thresholding ...the method provides simpler but ...

5

A low computational complexity V-BLAST/STBC detection mechanism in MIMO system

A low computational complexity V-BLAST/STBC detection mechanism in MIMO system

... The idea of multiple antenna arrays has evolved into multiple-input multiple-output (MIMO) system, which provides transmit and receive diversities. It increases robustness of the effect of multipath fading in wireless ...

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Biometrics Security: Facial Marks Detection from the Low Quality Images

Biometrics Security: Facial Marks Detection from the Low Quality Images

... Face recognition indeed plays a major rule in the biometrics security environment. Facial marks as for example freckles, moles, scars etc that are soft biometric traits have played a crucial role in identifying the human ...

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A Diversity-Multiplexing Tradeoff Optimal Low Complexity Zero Forcing Method Based on ZP-OFDM

A Diversity-Multiplexing Tradeoff Optimal Low Complexity Zero Forcing Method Based on ZP-OFDM

... VARIOUS block transmission schemes have been proposed to improve the performance of data trans- mission in the L tap multipath channel [1]–[8]. In these methods, generally the transmitter sends K data symbols (K ≤ N − L ...

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A High-Throughput VLSI Architecture for SC-FDMA MIMO Detectors

A High-Throughput VLSI Architecture for SC-FDMA MIMO Detectors

... computational complexity particularly in the SC-FDMA ...the complexity, normally suboptimal methods are ...recognition method is suggested for MIMO SC-FDMA systems, which provides near-optimal ...

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The evolution of metazoan α-carbonic anhydrases and their roles in calcium carbonate biomineralization

The evolution of metazoan α-carbonic anhydrases and their roles in calcium carbonate biomineralization

... Figure 2 Phylogenetic reconstruction of metazoan α -CAs relationships. The phylogeny was reconstructed using PhyML and Bayesian inference methods, the topology presented is that resulting from the PhyML method ...

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Accurate Representation of the Hepatitis C Virus Quasispecies in 5 2 Kilobase Amplicons

Accurate Representation of the Hepatitis C Virus Quasispecies in 5 2 Kilobase Amplicons

... describes detection of the high complexity of HCV quasispecies during acute infection by using a method for amplifying most of the viral genome from human serum by nested RT-PCR at a level of ...

7

Estimation of zaleplon by a new RP HPLC method

Estimation of zaleplon by a new RP HPLC method

... Symmetry C8 (250×4.6 mm), 5.0 µm column with a 60:25:15mixture of 0.02M potassium dihydrogen phosphate (w/v), acetonitrile (v/v) and methanol (v/v) as mobile phase was delivered at flow rate 1.0 ml/min. The mobile phase ...

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A Low-Complexity Model-Free Approach for Real-Time Cardiac Anomaly Detection Based on Singular Spectrum Analysis and Nonparametric Control Charts

A Low-Complexity Model-Free Approach for Real-Time Cardiac Anomaly Detection Based on Singular Spectrum Analysis and Nonparametric Control Charts

... A Low-Complexity Model-Free Approach for Real-Time Cardiac Anomaly Detection Based on Singular Spectrum Analysis and Nonparametric Control Charts.. Michael Lang 1, ∗ ID.[r] ...

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