Electronics Letters
Volume 56, Issue 9, 30 April 2020
Volumes & issues:
-
Volume 59 (2023)
-
Volume 58 (2022)
-
Volume 57 (2021)
-
Volume 56 (2020)
-
Volume 55 (2019)
-
Volume 54 (2018)
-
Volume 53 (2017)
-
Volume 52 (2016)
-
Volume 51 (2015)
-
Volume 50 (2014)
-
Volume 49 (2013)
-
Volume 48 (2012)
-
Volume 47 (2011)
-
Volume 46 (2010)
-
Volume 45 (2009)
-
Volume 44 (2008)
-
Volume 43 (2007)
-
Volume 42 (2006)
-
Volume 41 (2005)
-
Volume 40 (2004)
-
Volume 39 (2003)
-
Volume 38 (2002)
-
Volume 37 (2001)
-
Volume 36 (2000)
-
Volume 35 (1999)
-
Volume 34 (1998)
-
Volume 33 (1997)
-
Volume 32 (1996)
-
Volume 31 (1995)
-
Volume 30 (1994)
-
Volume 29 (1993)
-
Volume 28 (1992)
-
Volume 27 (1991)
-
Volume 26 (1990)
-
Volume 25 (1989)
-
Volume 24 (1988)
-
Volume 23 (1987)
-
Volume 22 (1986)
-
Volume 21 (1985)
-
Volume 20 (1984)
-
Volume 19 (1983)
-
Volume 18 (1982)
-
Volume 17 (1981)
-
Volume 16 (1980)
-
Volume 15 (1979)
-
Volume 14 (1978)
-
Volume 13 (1977)
-
Volume 12 (1976)
-
Volume 11 (1975)
-
Volume 10 (1974)
-
Volume 9 (1973)
-
Volume 8 (1972)
-
Volume 7 (1971)
-
Volume 6 (1970)
-
Volume 5 (1969)
-
Volume 4 (1968)
-
Volume 3 (1967)
-
Volume 2 (1966)
-
Volume 1 (1965)
Volume 56, Issue 9
30 April 2020
- Features
- Antennas and propagation
- Circuits and systems
- Image and vision processing and display technology
- Information and communications
- Instrumentation and measurement
- Microwave technology
- Power electronics, energy conversion and sustainability
- Semiconductor technology
- Signal processing
- Wireless communications
-
- Source: Electronics Letters, Volume 56, Issue 9, page: 416 –416
- DOI: 10.1049/el.2020.1041
- Type: Article
- + Show details - Hide details
-
p.
416
(1)
- Source: Electronics Letters, Volume 56, Issue 9, page: 417 –417
- DOI: 10.1049/el.2020.1042
- Type: Article
- + Show details - Hide details
-
p.
417
(1)
in brief
computer catwalk
-
- Author(s): S. Narke ; S. Ananthakrishnan ; C. Bhattacharya
- Source: Electronics Letters, Volume 56, Issue 9, p. 419 –421
- DOI: 10.1049/el.2019.3729
- Type: Article
- + Show details - Hide details
-
p.
419
–421
(3)
A single-feed circularly polarised (CP) composite microstrip patch antenna (MPA) with a 3D conical ground plane at X-band is presented here to meet the requirements of wide beamwidth for on-board antenna structures of highly rotating bodies in projectile motion. The results of the measurement for fabricated antenna in the anechoic chamber show that a half power beamwidth and axial ratio (AR) beamwidth are achieved for right-hand CP radiation pattern in both the xoz and yoz planes with a gain of . The AR at the resonating frequency of 10.28 GHz has a low figure of 0.46 dB producing nearly smooth CP foot print with a wide AR beamwidth. The measured reflection coefficient () of CP–MPA is at 10.28 GHz with an impedance bandwidth that is 8.75% of the resonant frequency. The figure of merit for cross-polarisation in the fabrication is , i.e. achieved at the zenith of co-polarisation.
- Author(s): M. Yasir and P. Savi
- Source: Electronics Letters, Volume 56, Issue 9, p. 421 –424
- DOI: 10.1049/el.2019.3990
- Type: Article
- + Show details - Hide details
-
p.
421
–424
(4)
A voltage-controlled frequency reconfigurable antenna is presented. The reconfigurable antenna comprises of a microstrip patch antenna connected to two grounded stubs via commercial graphene nanoplatelets. An applied bias voltage varies the resistance of graphene. The length and width of the stubs are optimised to cause a change in reactance because of a change in graphene resistance. A change in the reactance at the radiating edge of the patch antenna varies its resonant frequency. Commercial graphene nanoplatelets bear higher sheet resistance. The complete structure is designed to provide maximum frequency shift with minimum mismatch. The optimised simulated design is fabricated and comparable measured results are obtained. The resulting measured frequency shift is 310 MHz at a frequency of 5 GHz.
Enhancement of axial ratio-beamwidth of X-band composite microstrip patch antenna with conical ground plane
Frequency reconfigurable antenna based on commercial graphene nanoplatelets
-
- Author(s): F. Nolet ; N. Roy ; S. Carrier ; J. Bouchard ; R. Fontaine ; S.A. Charlebois ; J.-F. Pratte
- Source: Electronics Letters, Volume 56, Issue 9, p. 424 –426
- DOI: 10.1049/el.2019.4105
- Type: Article
- + Show details - Hide details
-
p.
424
–426
(3)
A Vernier ring-oscillator-based time-to-digital converter (TDC) with a new prelogic is presented. Experimental results show that the proposed architecture achieve a 5.5 ps RMS timing jitter with a 5.1 ps LSB within an area of . Thanks to the new prelogic circuit, the power consumption of the circuit was optimised to at a rate of 1 Mevents/s for a dynamic range of 4 ns. The area, timing jitter and power consumption make the TDC suitable for an array of electronic readout in a position emission tomography single photon avalanche diode based detectors.
- Author(s): Minho Choi ; Chan-Ho Kye ; Deog-Kyoon Jeong
- Source: Electronics Letters, Volume 56, Issue 9, p. 426 –428
- DOI: 10.1049/el.2019.3938
- Type: Article
- + Show details - Hide details
-
p.
426
–428
(3)
A balancing scheme for phase current and voltage of the flying capacitor in a fully integrated multi-level multi-phase DC–DC converter is proposed. The proposed balancing scheme based on the ripple voltage of the flying capacitor can simultaneously mitigate the imbalance of phase current and voltage of the flying capacitor. A mathematical analysis shows the proposed scheme can obtain the current information of the flying capacitor during charging and discharging operations and finally obtain the average inductor-current value. A prototype 4-phase 350 MHz three-level DC–DC converter shows <4.7% voltage imbalance of the flying capacitor and <36 mA phase-current imbalance at output voltage and maximum load current of 0.9 V and 1.2 A, respectively.
- Author(s): Jianan Cao ; Xuanxuan Qi ; Luntao Li
- Source: Electronics Letters, Volume 56, Issue 9, p. 428 –431
- DOI: 10.1049/el.2019.4259
- Type: Article
- + Show details - Hide details
-
p.
428
–431
(4)
The traditional Monte Carlo sampling method has several deficiencies in evaluating the reliability of more-electric aircraft (MEA), such as more sampling times and longer simulation time, due to the complex topology and low probability of failure of the aircraft. In this Letter, the optimal probability distribution of multi-component systems is introduced by cross-entropy, which theoretically makes the variance of reliability evaluation zero. Based on this, an evaluation method for the power-supply reliability of MEA is presented. For further analysis of the system vulnerabilities, the sensitivity of MEA is modelled based on reliability calculation. Finally, the hybrid MEA and high-voltage direct current MEA power systems are used as application scenarios to calculate the reliability and sensitivity. The results show that the proposed method has advantages in evaluating small probability events, and it is useful for the optimisation of MEA's power-supply system structure.
- Author(s): B. Lim ; D. Kim ; C. Yoo
- Source: Electronics Letters, Volume 56, Issue 9, p. 431 –432
- DOI: 10.1049/el.2019.3863
- Type: Article
- + Show details - Hide details
-
p.
431
–432
(2)
A voltage-mode pulse-amplitude modulation 4 (PAM4) driver with differential ternary R-2R DAC architecture is described. The differential ternary R-2R DAC provides three voltage levels with one R-2R branch, whereas the conventional one provides only two. Therefore, much less R-2R branches are required for a given number of output voltage levels. One of the three voltage levels is realised by simply short circuiting a differential input pair, saving power consumption. Implemented in 65 nm CMOS technology, the voltage-mode PAM4 driver occupies 0.073 mm2 active silicon area and consumes 1.97 mW/Gbit/s from 1.0 V supply at 10 Gbit/s.
22 μW, 5.1 ps LSB, 5.5 ps RMS jitter Vernier time-to-digital converter in CMOS 65 nm for single photon avalanche diode array
Balancing scheme for phase current and flying-capacitor voltage in three-level DC–DC converter
Reliability and sensitivity analysis of more-electric aircraft based on cross-entropy
Voltage-mode PAM4 driver with differential ternary R-2R DAC architecture
-
- Author(s): B. Joukovsky ; P. Hu ; A. Munteanu
- Source: Electronics Letters, Volume 56, Issue 9, p. 432 –435
- DOI: 10.1049/el.2019.4150
- Type: Article
- + Show details - Hide details
-
p.
432
–435
(4)
In this Letter, the authors propose a deep learning based method to perform semantic segmentation of clothes from RGB-D images of people. First, they present a synthetic dataset containing more than 50,000 RGB-D samples of characters in different clothing styles, featuring various poses and environments for a total of nine semantic classes. The proposed data generation pipeline allows for fast production of RGB, depth images and ground-truth label maps. Secondly, a novel multi-modal encoder–ecoder convolutional network is proposed which operates on RGB and depth modalities. Multi-modal features are merged using trained fusion modules which use multi-scale atrous convolutions in the fusion process. The method is numerically evaluated on synthetic data and visually assessed on real-world data. The experiments demonstrate the efficiency of the proposed model over existing methods.
- Author(s): Jian Lu ; Haozhe Cheng ; Maoxin Luo ; Tong Liu ; Kaibing Zhang
- Source: Electronics Letters, Volume 56, Issue 9, p. 435 –438
- DOI: 10.1049/el.2019.3705
- Type: Article
- + Show details - Hide details
-
p.
435
–438
(4)
Due to the issue of disorder, it is difficult to directly utilise a 2D convolutional neural networks to process 3D point clouds. Recently, PointNet can directly use 3D point sets as the input of convolutional neural networks and complete the processing of point clouds with multi-layer perceptron (MLP) and symmetric functions. However, the use of MLP to compute the weight function ignores the problem of non-uniformity sampling caused by the density of point set data. To address the above problem, based on the PointNet++ structure, a kernel density estimation based method is proposed to calculate the density level of the local point sets region under the optimal bandwidth selection principle, and the density re-weighting of the weight function is developed to better fit the structure of local point clouds. In addition, the authors utilise the upsampling convolution operation to avoid duplicate storages and calculations, making the point cloud reconstruction more efficient. The experiments carried out the semantic segmentation on both the synthetic data and the real indoor scenes show that the proposed method is capable of obtaining promising semantic segmentation results.
Multi-modal deep network for RGB-D segmentation of clothes
PUConv: Upsampling convolutional network for point cloud semantic segmentation
-
- Author(s): Peibo Chen ; Yulan Guo ; Gang Li ; Ling Wang ; Jianwei Wan
- Source: Electronics Letters, Volume 56, Issue 9, p. 438 –441
- DOI: 10.1049/el.2020.0116
- Type: Article
- + Show details - Hide details
-
p.
438
–441
(4)
The crucial issue in specific emitter identification (SEI) is the extraction of fingerprint features which can represent the differences among individual emitters of the same type. Considering that these emitters have the same intentional modulation on pulse, the fingerprint features originated from the unintentional modulation on pulse are extremely imperceptible and less detectable. However, existing feature extractions, either traditional handcrafted ones or deep learning based ones, have failed to ensure that their extracted features are rich in the unintentional modulation information (UMI) and not interfered by the intentional modulation information (IMI). To adequately take advantage of deep learning to address SEI, this Letter proposes a novel neural networks, named discriminative adversarial networks (DAN). By demarcating a clear boundary between IMI and UMI, DAN isolates IMI and thus reduces the burden of UMI mining during its feature extraction process. Experimental results demonstrate that DAN outperforms most methods in the literature.
- Author(s): Izhar Ahmed Khan ; Dechang Pi ; Ajeet Kumar Bhatia ; Nasrullah Khan ; Waqas Haider ; Abdul Wahab
- Source: Electronics Letters, Volume 56, Issue 9, p. 441 –444
- DOI: 10.1049/el.2019.4158
- Type: Article
- + Show details - Hide details
-
p.
441
–444
(4)
Before using any dataset in the intrusion detection system (IDS), it is crucial to acquire an accurate assessment of its efficiency. Nevertheless, the key complications presently met by the researchers are the deficiency of accessibility of any genuine assessment dataset and efficient metric for evaluating the enumerated quality of realism (QoR) of any internet of things (IoT)-based IDS dataset. It is challenging to obtain and gather data from real-world company setups owing to commercial continuousness and concerns such as integrity. This Letter presents a Sugeno fuzzy inference machine (SFIM)-based metric method for assessing the QoR of existing IoT IDS datasets. Secondly, based on the results of the proposed metric, a synthetically precise next level IoT-based IDS dataset is aimed and produced, and an initial assessment showed to support the development of forthcoming IoT-IDS. This created dataset comprises both regular and irregular replications of present IoT-based network events happening at the precarious cyber structure in different companies. Finally, the QoR of the generated dataset is evaluated by means of the proposed metric and is compared with state-of-the-art commonly available compelling datasets for validating its supremacy.
- Author(s): Bowon Ko and Ho-Jin Choi
- Source: Electronics Letters, Volume 56, Issue 9, p. 444 –447
- DOI: 10.1049/el.2019.4183
- Type: Article
- + Show details - Hide details
-
p.
444
–447
(4)
In this Letter, the authors introduce a novel approach to learn representations for sentence-level paraphrase identification (PI) using BERT and ten natural language processing tasks. Their method trains an unsupervised model called BERT with two different tasks to detect whether two sentences are in paraphrase relation or not. Unlike conventional BERT, which fine tunes the target task such as PI to pre-trained BERT, twice fine-tuning deep neural networks first fine tune each task (e.g. general language understanding evaluation tasks, question answering, and paraphrase adversaries from word scrambling task) and second fine tune target PI task. As a result, the multi-fine-tuned BERT model outperformed the fine-tuned model only with Microsoft Research Paraphrase Corpus (MRPC), which is paraphrase data, except for one case of Stanford Sentiment Treebank - 2 (SST-2). Multi-task fine-tuning is a simple idea but experimentally powerful. Experiments show that fine-tuning just PI tasks to the BERT already gives enough performance, but additionally, fine-tuning similar tasks can affect performance (3.4% point absolute improvement) and be competitive with the state-of-the-art systems.
Discriminative adversarial networks for specific emitter identification
Generating realistic IoT-based IDS dataset centred on fuzzy qualitative modelling for cyber-physical systems
Twice fine-tuning deep neural networks for paraphrase identification
-
- Author(s): Xinguo Wang ; Fangqing Li ; Jiang Zhao ; Debo Wang
- Source: Electronics Letters, Volume 56, Issue 9, p. 447 –449
- DOI: 10.1049/el.2019.3557
- Type: Article
- + Show details - Hide details
-
p.
447
–449
(3)
In order to study the effect of shape on graphene pressure sensors, a theoretical model of polymerisation degree is proposed in this work. According to the theoretical model of polymerisation degree, it is found that the regular polygons have better sensitivity characteristics. The more the number of sides for the regular polygons, the larger the polymerisation degree, and the better the sensitivity of the graphene pressure sensors. According to the theoretical model, the polymerisation degree of the positive triangle, regular quadrilateral, regular pentagon, and circle shape is 0.5, 0.71, 0.81, and 1, respectively. The measured results show that the relative resistance change of positive triangle, regular quadrilateral, regular pentagon, and circle shape are 8.56, 9.24, 9.61, and 10.4%, respectively. The experimental results are consistent with the theoretical results. Therefore, the theoretical model of polymerisation degree can provide effective quantitative guidance for the graphene pressure sensors.
Investigation on the theoretical model of graphene pressure sensors
-
- Author(s): Chaochao Wu ; Fei Xiao ; Huadong Wang ; Yang Chen ; Yuancheng Sun
- Source: Electronics Letters, Volume 56, Issue 9, p. 449 –450
- DOI: 10.1049/el.2020.0200
- Type: Article
- + Show details - Hide details
-
p.
449
–450
(2)
In this Letter, a novel filtering power divider with second-order quasi-elliptic bandpass response is proposed, which has two transmission zeros near to the passband for sharp frequency selectivity. In addition, it is featured by ultra-wide stopband owing to specific topology. For demonstration, a filtering power divider example operating at 3.1 GHz is designed, fabricated and measured. Its 3 dB fractional bandwidth is about 11.9%, and the in-band isolation between two output ports exceeds 20 dB. Specifically, more than 21 dB out-of-band suppression is achieved from the upper side of the passband to 4.8f 0, and more than 12 dB suppression is achieved to at least 20f 0. The measurement agrees well with the simulation.
Quasi-elliptic bandpass filtering power divider with ultra-wide stopband
-
- Author(s): Cheng Huang and Sangwon Lee
- Source: Electronics Letters, Volume 56, Issue 9, p. 450 –453
- DOI: 10.1049/el.2019.3952
- Type: Article
- + Show details - Hide details
-
p.
450
–453
(4)
In this Letter, two comparator-based voltage-mode hysteretic controller designs are proposed to enhance dynamic response for single-inductor multiple-output (SIMO) switching converters to minimise over-/under-shoot voltages due to self- and cross-regulations in fast load transients, especially with high output power and large current steps. The proposed converters are designed and simulated in a 65 nm CMOS process with standard I/O devices. With the proposed techniques, the output voltage fluctuations, including steady-state voltage ripples and over-/under-shoot voltages due to self- and cross-regulations during a 1.8 A load transient in 1 ns, are kept within 60 mV. The proposed converter delivers more than 3 A maximum load current per output and a maximum total output power above 6 W, with a peak efficiency above 90%. Compared to state-of-the-art SIMO converters, this work achieves a significantly higher output power capacity and faster dynamic response thus smaller self- and cross-regulations within 0.033 mV/mA.
Voltage-mode hysteretic control techniques for high-current single-inductor multiple-output switching regulators
-
- Author(s): You Peng ; Wanling Deng ; Weijing Wu ; Zhi Luo ; Junkai Huang
- Source: Electronics Letters, Volume 56, Issue 9, p. 453 –456
- DOI: 10.1049/el.2019.4001
- Type: Article
- + Show details - Hide details
-
p.
453
–456
(4)
An effective and robust hybrid algorithm consisting of particle swarm optimisation (PSO) and limited memory Broyden–Fletcher–Goldfarb–Shanno (L-BFGS) method based on artificial neural network (ANN) is proposed for modelling flexible metal-oxide thin-film transistors (TFTs). The L-BFGS method as an optimiser is exploited to update the parameters of ANN and speed up the training process. A mutation strategy for PSO is derived to enhance the searching ability further. With the great global searching ability, PSO is implemented to find a hopeful initial position in solution space for the next ANN model. The simulation result shows a high accuracy not only in I–V curve fitting but also in small-signal parameter (, , etc.) predictions, which have not been exposed in the training process. The measured DC characteristics of In–Zn–O TFTs are used to verify the proposed ANN model, which has the benefits of rapid fitting from the L-BFGS algorithm and universal searching ability from PSO.
Hybrid modelling routine for metal-oxide TFTs based on particle swarm optimisation and artificial neural network
-
- Author(s): Jun Lu ; Qunfei Zhang ; Wentao Shi ; Lingling Zhang
- Source: Electronics Letters, Volume 56, Issue 9, p. 456 –459
- DOI: 10.1049/el.2019.3751
- Type: Article
- + Show details - Hide details
-
p.
456
–459
(4)
In the integrated system of underwater single-node detection and communication, active self-interference cancellation requires high accuracy of time delay estimation. To solve this problem, this Letter proposes a high accuracy delay estimation method based on phase correction. Initially, the normalised frequency correction is calculated according to the phase difference and time delay of the signal. Then, the discrete spectrum is reconstructed, and the phase is obtained by the least square method. Finally, the time delay is estimated by the phase difference between the received signal and the reference signal. This method corrects the phase and frequency errors caused by the Fourier transform and improves the accuracy of time delay estimation. Simulation results confirm the efficacy of the proposed method and achieve the accuracy requirement of the active self-interference cancellation.
High accuracy phase-matching delay estimation method based on phase correction
-
- Author(s): Hao Wu
- Source: Electronics Letters, Volume 56, Issue 9, p. 459 –462
- DOI: 10.1049/el.2019.3728
- Type: Article
- + Show details - Hide details
-
p.
459
–462
(4)
The data payload from the medium access control layer to the physical layer is referred to as the transport block (TB). In fifth-generation new radio, the TB size is determined by using a formula due to large variations of available resource elements (REs) per resource block (RB). To ensure that a matching TB size can easily be scheduled in the retransmission instance, the reference number of REs is used to determine the TB size. As a result, the actual code rate may be much higher than the target code rate. This degrades the performance of the channel coding and increases the likelihood of the decoding failure. To solve these problems, the authors quantise the number of REs within the scheduled duration that are not available for the data transmission and the demodulation reference signal transmission. The difference between the reference number of REs of the traditional scheme and the quantised number is used to determine the TB size in the proposed scheme. Compared to the traditional scheme, the proposed scheme reduces the difference between the actual code rate and the target code rate.
- Author(s): Kyung-Seop Shin ; Gyung-Ho Hwang ; Ohyun Jo
- Source: Electronics Letters, Volume 56, Issue 9, p. 462 –464
- DOI: 10.1049/el.2019.3891
- Type: Article
- + Show details - Hide details
-
p.
462
–464
(3)
Proliferation of smart internet of things (IOTs) devices has boosted the improvement of multiple networking functions which have a different capability in terms of capacity and access delay. Herein, the networking function of IoT devices should be properly selected to fully utilise the capabilities of the different types of networking technologies. In this Letter, a reinforcement learning-based self-organising scheme is proposed for the IOTs. A node selects an adequate IoT network function and adapts its topology by learning channel circumstance. To verify the performance of the proposed learning-based scheme, simulations reflect a multiple number of heterogeneous IoT networks and show that the average latency of IoT devices can be efficiently reduced compared to the conventional benchmark networks (Wi-Fi and narrow band IoT).
- Author(s): M. Bouteggui ; F. Merazka ; G.K. Kurt
- Source: Electronics Letters, Volume 56, Issue 9, p. 464 –467
- DOI: 10.1049/el.2019.4117
- Type: Article
- + Show details - Hide details
-
p.
464
–467
(4)
In this Letter, the authors consider a multi-unicast flow wireless communication system with a retransmission scheme. The effective capacity (EC) is used as a performance metric in order to make use of the recurrence relation approach. They also take advantage of network coding (NC) as combined with automatic repeat request (ARQ) protocol (NC-ARQ), for more robust communication. The authors' main contribution, in this work, is the derivation of the EC for M-user NC-ARQ using only the opportunity of XoR-ing M packets. They then, focus on a 3-user system and derive the EC using the opportunity of XoR-ing packets for 3 and 2 users. An interesting result is the fact that, contrary to expectation, as the number of users in a network that uses NC-ARQ increases, the performance in terms of EC increases as well, depending on how the sender schedules and manages the retransmissions.
- Author(s): Imran A. Khoso ; Xiaofei Zhang ; Abdul Hayee Shaikh
- Source: Electronics Letters, Volume 56, Issue 9, p. 467 –469
- DOI: 10.1049/el.2020.0208
- Type: Article
- + Show details - Hide details
-
p.
467
–469
(3)
Linear minimum mean-square error (MMSE) detection achieves near-optimal performance in large-scale multiple-input multiple-output (LS-MIMO) systems but entails high computational complexity due to large matrix inversion operations. In this Letter, a novel computationally efficient algorithm based on second-order Richardson method is proposed to solve the LS-MIMO detection problem. While no a priori information for the first iteration of the second-order Richardson method is available, the conjugate gradient scheme is exploited that greatly reduces the number of iterations to achieve the desired performance. Moreover, the eigenvalue-based acceleration parameters are proposed to further accelerate the convergence rate. Numerical results demonstrate that the proposed detector outperforms the existing methods and approaches the performance of MMSE with a small number of iterations.
Accurate determination of transport block size for 5G new radio
Distributed reinforcement learning scheme for environmentally adaptive IoT network selection
Effective capacity of multi-unicast flows using network coded-ARQ
Low-complexity signal detection for large-scale MIMO systems with second-order Richardson method
Most viewed content
Most cited content for this Journal
-
Extreme multistability in a memristive circuit
- Author(s): Bo-Cheng Bao ; Quan Xu ; Han Bao ; Mo Chen
- Type: Article
-
Absorptive frequency selective surface using parallel LC resonance
- Author(s): Qiang Chen ; Liguo Liu ; Liang Chen ; Jiajun Bai ; Yunqi Fu
- Type: Article
-
Partial spectral search-based DOA estimation method for co-prime linear arrays
- Author(s): Fenggang Sun ; Peng Lan ; Bin Gao
- Type: Article
-
Experimental verification of on-chip CMOS fractional-order capacitor emulators
- Author(s): G. Tsirimokou ; C. Psychalinos ; A.S. Elwakil ; K.N. Salama
- Type: Article
-
54 Gbit/s OOK transmission using single-mode VCSEL up to 2.2 km MMF
- Author(s): G. Stepniak ; A. Lewandowski ; J.R. Kropp ; N.N. Ledentsov ; V.A. Shchukin ; N. Ledentsov Jr. ; G. Schaefer ; M. Agustin ; J.P. Turkiewicz
- Type: Article