Relevant bibliographies by topics / Multiple input multiple output

Academic literature on the topic 'Multiple input multiple output'

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Published: 4 June 2021
Last updated: 7 September 2023

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Journal articles on the topic "Multiple input multiple output"

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Kang, Byung-Soo, Ji-Hoon Bae, Eun-Jung Yang, and Kyung-Tae Kim. "3-D Multiple-Input Multiple-Output Interferometric ISAR Imaging." Journal of Korean Institute of Electromagnetic Engineering and Science 26, no. 6 (June 30, 2015): 564–71. http://dx.doi.org/10.5515/kjkiees.2015.26.6.564.

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Smallwood, David O. "Multiple-Input Multiple-Output (MIMO) Linear Systems Extreme Inputs/Outputs." Shock and Vibration 14, no. 2 (2007): 107–31. http://dx.doi.org/10.1155/2007/701837.

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A linear structure is excited at multiple points with a stationary normal random process. The response of the structure is measured at multiple outputs. If the autospectral densities of the inputs are specified, the phase relationships between the inputs are derived that will minimize or maximize the trace of the autospectral density matrix of the outputs. If the autospectral densities of the outputs are specified, the phase relationships between the outputs that will minimize or maximize the trace of the input autospectral density matrix are derived. It is shown that other phase relationships and ordinary coherence less than one will result in a trace intermediate between these extremes. Least favorable response and some classes of critical response are special cases of the development. It is shown that the derivation for stationary random waveforms can also be applied to nonstationary random, transients, and deterministic waveforms.
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Yuanquan Wang, Yuanquan Wang, and Nan Chi Nan Chi. "Indoor gigabit 2 × 2 imaging multiple-input–multiple-output visible light communication." Chinese Optics Letters 12, no. 10 (2014): 100603–6. http://dx.doi.org/10.3788/col201412.100603.

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Smallwood, David. "Minimum Input Trace for Multiple Input Multiple Output Linear Systems." Journal of the IEST 56, no. 2 (October 1, 2013): 57–67. http://dx.doi.org/10.17764/jiet.56.2.41344333010617q6.

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Specification of the cross spectra for a multiple-input/multiple-output (MIMO) vibration test is challenging. This paper presents a method for tests where the specifications of the output (the control points) autospectra are available. The autospectra of the outputs are specified and cross spectra between the outputs are derived that will minimize the trace of the autospectra of the inputs (the drive signals) with the constraint that the input spectral density matrix is positive definite. The hypothesis is that nature likes a minimum energy solution.
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Lauwers, Oliver, Oscar Mauricio Agudelo, and Bart De Moor. "A Multiple-Input Multiple-Output Cepstrum." IEEE Control Systems Letters 2, no. 2 (April 2018): 272–77. http://dx.doi.org/10.1109/lcsys.2018.2828992.

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Laurı́, D., J. V. Salcedo, M. Martı́nez, and S. Garcı́a-Nieto. "Model predictive control relevant identification: multiple input multiple output against multiple input single output." IET Control Theory & Applications 4, no. 9 (September 1, 2010): 1756–66. http://dx.doi.org/10.1049/iet-cta.2009.0482.

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Ouladsine, M., A. EL Hajjaji, and A. Rachid. "Identification of interconnected multiple-input multiple-output systems: Application to a multiple-input multiple-output thermal process." International Journal of Systems Science 30, no. 7 (January 1999): 779–85. http://dx.doi.org/10.1080/002077299292074.

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Hsu, Rick C. J., Akhil Shah, and Bahram Jalali. "Coherent Optical Multiple-Input Multiple-Output communication." IEICE Electronics Express 1, no. 13 (2004): 392–97. http://dx.doi.org/10.1587/elex.1.392.

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Rabideau, D. J. "Multiple-input multiple-output radar aperture optimisation." IET Radar, Sonar & Navigation 5, no. 2 (2011): 155. http://dx.doi.org/10.1049/iet-rsn.2010.0034.

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SHAMANNA, M., K. CAMERON, and S. R. WHITAKER. "Multiple-input, multiple-output pass transistor logic." International Journal of Electronics 79, no. 1 (July 1995): 33–45. http://dx.doi.org/10.1080/00207219508926248.

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Dissertations / Theses on the topic "Multiple input multiple output"

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Kanday, Balaji Madapuci. "Microcontroller Based Multiple-Input Multiple-Output Transmitter." International Foundation for Telemetering, 2010. http://hdl.handle.net/10150/605952.

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ITC/USA 2010 Conference Proceedings / The Forty-Sixth Annual International Telemetering Conference and Technical Exhibition / October 25-28, 2010 / Town and Country Resort & Convention Center, San Diego, California
This paper describes how a microcontroller based system can be used to generate the signals needed in a multiple-input multiple-output (MIMO) system transmitter. The limited computational speed of the microcontroller, along with other tasks which the controller may need to handle, places limits on the throughput of the system, and the complexity of the MIMO signal design. However this can be a low cost design, and the microcontroller can be used to perform other operations in the system, which may make it attractive in some applications.
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Tran, Tuan-Anh. "Multiple-input multiple-output optical wireless communications." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:094fbe23-88c3-49c4-b64b-a1de40674123.

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Visible-light optical wireless communications (OWC) is a potential technology that can help resolve the crowdedness of the radio-frequency bands, whilst conveniently exploiting energy-saving light-emitting diodes (LEDs) as transmitters for both illumination and communications. Since there usually are many LEDs in a lighting unit, OWC has a multi- input multi-output (MIMO) geometry which, thanks to its channel diversity, can offer wireless local networks at data-rates many times higher than possible with single-channel systems. In such systems, MIMO-detection methods to separate the different optical channels play an important role in improving the system performance by helping reduce cross-talk between channels. To measure the performance of a particular geometry for MIMO communications, a simulation study, reported in this thesis, found that, amongst the signal- independent metrics, the condition number may be used as a rough predictor of the performance, whilst the channel Signal-to-Interference-and-Noise Ratio (SINR) is the most appropriate for geometry assessment. Combined with the fact that the overall performance of a MIMO system is mostly dominated by its worst channel, this indicates that the most effective way to improve the system performance is to maximise the worst channel’s SINR. One of the possible solutions to improving the SINRs is to use holograms to steer the transmitter images such that their distributions over the photo-detectors reduce overlaps. As LEDs emit partially-coherent light, the beam steering has to be carried out with partially- coherent illumination. By using two lenses to parallelise and collect partially-coherent light before and after the hologram, respectively, the source and image intensity distributions, and the autocorrelation of the hologram can be related in a succinct mathematical relationship. This leads to the development of three computational algorithms based on the autocorrelation function to obtain a quantised hologram with the desired beam-steering capability. These algorithms have their cost functions and performance comparison done at the hologram plane instead of the image plane, which therefore takes less time than traditional image-based methods. Specifically, one of these algorithms is able to save significant time over both the other autocorrelation-based algorithms and the direct binary-search, by 33% and by 50% respectively. A simulation-based study and a corresponding experiment, both reported in this thesis, found that the one of the proposed algorithms had poor power efficiency, whilst the other two were both highly effective in generating digital holograms with precise and power-efficient beam-steering performance. Of these two algorithms, one had superior time performance and was likely the best of the three proposed autocorrelation-based algorithms for generating beam-steering holograms. MIMO-OWC simulation also demonstrated the capability of using beam-steering holograms to design the channel and improve the system performance. Combining reported findings, a strategy can be devised to optimise the throughput of an imaging MIMO-OWC system for a given transmitted power.
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Petersen, Samuel. "Multiple-Input Multiple-Output Systems for Spinning Vehicles." International Foundation for Telemetering, 2010. http://hdl.handle.net/10150/605956.

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ITC/USA 2010 Conference Proceedings / The Forty-Sixth Annual International Telemetering Conference and Technical Exhibition / October 25-28, 2010 / Town and Country Resort & Convention Center, San Diego, California
This paper investigates the performance of a multiple-input multiple-output (MIMO) digital communication system, when the transmitter is located on a spinning vehicle. In particular, a 2x2 MIMO system is used, with Alamouti coding at the transmitter. Both Rayleigh and Rayleigh plus line-of-sight, or Rician, models combined with a deterministic model to simulate the channel. The spinning of the transmitting vehicle, relative to the stationary receive antennas, modulates the signal, and complicates the decoding and channel parameter estimation processes. The simulated system bit error rate is the primary performance metric used. The Alamouti channel code is shown to perform better than the maximal ratio receiver combining (MRRC) and single receiver (2x1) system in some circumstances and performs similarly to the MRRC in the broadside case.
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Zhang, Peichang. "Coherent versus differential multiple-input multiple-output systems." Thesis, University of Southampton, 2015. https://eprints.soton.ac.uk/376511/.

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In recent years, Multiple-Input-Multiple-Output (MIMO) techniques have attracted substantial attention due to their capability of providing spatial diversity and/or multiplexing gains. Inspired by the concept of Spatial Modulation (SM), the novel concept of Space-Time-Shift-Keying (STSK) was recently proposed, which is considered to have the following advantages: 1) STSK constitutes a generalized shift keying architecture, which is capable of striking the required trade-off between the required spatial and time diversity as well as multiplexing gain and includes SM and Space Shift Keying (SSK) as its special cases. 2) Its high degree of design-freedom, the above-mentioned flexible diversity versus multiplexing gain trade-off can be achieved by optimizing both the number and size of the dispersion matrices, as well as the number of transmit and receive antennas. 3) Similar to the SM/SSK schemes, the Inter-Antenna-Interference (IAI) may be eliminated and consequently, the adoption of single-antenna-based Maximum Likelihood (ML) detection becomes realistic in STSK schemes. In this report, our investigation can be classified into two major categories, Coherent STSK (CSTSK) and Differential STSK (DSTSK) schemes. For CSTSK, since Channel State Information (CSI) is required for data detection, Channel Estimation (CE) techniques become necessary. To be more explicit, we first briefly review the conventional Training Based CE (TBCE) and Semi-Blind CE (SBCE) schemes for the CSTSK MIMO schemes. In addition, we develop a Blockof-Bits Selection Based CE (BBSBCE) algorithm for CSTSK schemes for increasing the overall system’s throughput, while improving the accuracy of the CE. Additionally, it has been widely recognised that MIMO schemes are capable of achieving a diversity and/or multiplexing gain by employing multiple Antenna Elements (AEs) at the transmitter and/or the receiver. However, it should also noted that since MIMO systems utilize multiple RF chains, their power consumption and hardware costs become substantial. Against this background, we introduce the concept of (Antenna Selection) AS and propose a simple yet efficient AS algorithm, namely the Norm-Based Joint Transmit and Receive AS (NBJTRAS) for assisting MIMO systems. For DSTSK, since no CSI is required for differential detection schemes, it also draws our attention. However, in the absence of CE, the Conventional Differential Detection (CDD) schemes usually suffer from a 3 dB performance degradation and may exhibit an error-flow when Doppler frequency is excessive. In order to mitigate this problem, we investigate Multiple-Symbol Differential Sphere Detection (MSDSD) scheme and adopt it in our DSTSK scheme to improve the system performance, while reducing the detection complexity. Furthermore, based on our MSDSD detected DSTSK scheme, we propose a DSTSK aided Multi-User Successive Relaying aided Cooperative System (MUSRC), which is capable of supporting various number of users flexibly, while covering the conventional 50% throughput loss due to the half-duplex transmit and receive constraint of practical transceivers.
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Uppal, Momin Ayub. "Code design for multiple-input multiple-output broadcast channels." [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1783.

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Yu, Kai. "Modeling of Multiple-Input Multiple-Output Radio Propagation Channels." Licentiate thesis, KTH, Signals, Sensors and Systems, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-1478.

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In recent years, multiple-input multiple-output (MIMO)systems appear to be very promising since they can provide highdata rates in environments with sucient scattering byexploiting the spatial domain. To design a real MIMO wirelesssystem and predict its performance under certain circumstances,it is necessary to have accurate MIMO wireless channel modelsfor dierent scenarios. This thesis presents dierent models forindoor MIMO radio propagation channels based on 5.2 GHz indoorMIMO channel measurements.The recent research on MIMO radio channel modeling isbriey reviewed in this thesis. The models are categorized intonon-physical and physical models. The non-physical modelsprimarily rely on the statistical characteristics of MIMOchannels obtained from the measured data while the physicalmodels describe the MIMO channel (or its distribution) via somephysical parameters. The relationships between dierent modelsare also discussed.For the narrowband case, a non line-of-sight (NLOS)indoor MIMO channel model is presented. The model is based on aKronecker structure of the channel covariance matrix and thefact that the channel is complex Gaussian. It is extended tothe line-of-sight (LOS) scenario by estimating and modeling thedominant component separately.As for the wideband case, two NLOS MIMO channel modelsare proposed. The rst model uses the power delay prole and theKronecker structure of the second order moments of each channeltap to model the wideband MIMO channel while the second modelcombines a simple single-input single-output (SISO) model withthe same Kronecker structure of the second order moments.Monte-Carlo simulations are used to generate indoor MIMOchannel realizations according to the above models. The resultsare compared with the measured data and good agreement has beenobserved.

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Dambul, Katrina D. "Multiple-input multiple-output (MIMO) in optical wireless communications." Thesis, University of Oxford, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.558676.

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There is growing demand for indoor wireless communication systems with higher bandwidth and higher data rates. However, the crowded radio frequency (RF) spectrum has caused researchers to consider optical wireless systems. In this thesis, optical signals in the visible region of the spectrum are used. White LEDs are used as transmitters as they provide higher signal-to-noise (SNR) levels and a better link budget than the infrared alternative. Typical modulation bandwidths for white LEDs are limited to tens of MHz. Thus, multiple-input multiple-output (MIMO) transmission is considered as a means to increase data rate. The development of the indoor optical wireless MIMO system begins with the geometrical and mathematical analysis of a single-input single-output (SISO) system and a single-input multiple- output (SIMO) system. The same analysis is then performed for a MIMO system. For the MIMO system, an experimental demonstration using white LEDs and non-imaging receivers are reported. Results include coverage measurements and an SNR analysis. There are limitations using non- imaging receivers, such as coverage limitations and symmetry problems, which cause problem with signal recovery. To improve these limitations, imaging receivers are considered. The design and development of an experimental demonstration of an indoor optical wireless MIMO system with an imaging receiver is presented. The experimental setup consists of a transmitter with a 2 x 2 array of white LEDs and a receiver with a 3 x 3 photo detector array. The system transmits data at a bit rate of 2Mbit/s/channel. Detailed design specifications and optical design are presented. Results show that certain positions within the system coverage area have error-free operation. The BER and SNR analysis shows that the overall BER improves with the overall SNR. In order to exploit the full potential of the system, future work should focus on improving the SNR and BER of the system.
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Gupte, Abhishek. "SOQPSK Signals in Multiple Input Multiple Output (MIMO) Systems." International Foundation for Telemetering, 2010. http://hdl.handle.net/10150/605954.

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ITC/USA 2010 Conference Proceedings / The Forty-Sixth Annual International Telemetering Conference and Technical Exhibition / October 25-28, 2010 / Town and Country Resort & Convention Center, San Diego, California
This paper investigates the use of shaped offset quadrature phase shift keying (SOQPSK) signals in multiple-input multiple-output (MIMO) communication systems. The goal is to integrate commonly used receiver architectures for conventional single-input single-output (SISO) systems into a corresponding MIMO system. The benefits of improved spectral efficiency are juxtaposed against the increased receiver complexity. Bit error rate performances for the SISO and MIMO architectures in a multipath environment are compared and conclusions regarding trade-offs between signal to noise ratio (SNR) and spectral efficiency stated.
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Stewart, Kyle Bradley. "Waveform-Diverse Multiple-Input Multiple-Output Radar Imaging Measurements." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1450437383.

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Najam, Ali Imran. "Multiple-input multiple-output antennas for ultra wideband communications." Grenoble INPG, 2010. http://www.theses.fr/2010INPG0043.

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La radio Ultra Large Bande (ULB) promet de nouveaux marchés dans les domaines des réseaux personnels hauts débits et de capteurs. De sorte à améliorer la robustesse du lien radio et le débit, l’association des techniques MIMO à l’ULB a été envisagée. En vue d’une réalisation pratique, un challenge fondamental reste la conception des antennes qui doivent répondre aux contraintes de l’ULB et des systèmes multi-antennaires, et aux contraintes physiques et économiques. Dans ce contexte, plusieurs nouveaux designs d’antennes MIMO ULB sont proposés. Leur caractérisation s’appuie sur les paramètres conventionnels utilisés en conception d’antennes ainsi que des paramètres spécifiques à l’ULB et au MIMO. En particulier, un nouveau design compact présentant une forte isolation grâce à l’insertion d’un stub sur le plan de masse est proposé. Une nouvelle méthode de modélisation du couplage mutuel, qui présente l’avantage d’offrir de nouvelles approches pour le compenser, est également introduite
UWB technology has rapidly emerged in the areas of WPAN and sensors networks featuring high data rate communications. The applications of UWB are limited to very short-range communications due to the extremely low transmitted power. The combination of MIMO techniques with UWB has been considered as a solution to improve the range. However, a fundamental challenge arises for the design of antennas that faces the constraints offered by UWB systems and multi-antennas systems, and the constraints of size and cost. In this context, several new UWB-MIMO antennas are proposed. Their characterization is based on the parameters relevant to conventional antenna design and the specific parameters relevant to the UWB-MIMO antenna design. In particular, a new compact design with high isolation by inserting the inverted-Y shaped stub on the ground plane is proposed. A new method for modelling the mutual coupling, is also introduced which has the advantage of offering new approach to compensate it
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Books on the topic "Multiple input multiple output"

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Costa, Nelson, and Simon Haykin. Multiple-Input, Multiple-Output Channel Models. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470590676.

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Costa, Nelson. Multiple-input multiple-output channel models: Theory and practice. Hoboken, N.J: Wiley, 2010.

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Costa, Nelson. Multiple-input multiple-output channel models: Theory and practice. Hoboken, N.J: Wiley, 2010.

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Burken, John J. Flight-determined stability analysis of multiple-input-multiple-output control systems. Edwards, Calif: Dryden Flight Research Facility, 1992.

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United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. Flight-determined stability analysis of multiple-input-multiple-output control systems. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. Flight-determined stability analysis of multiple-input-multiple-output control systems. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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Glass, J. C. The achievement of scale efficiency in UK universities: A multiple-input multiple-output analysis. [Belfast]: Accounting and Finance Division, School of Finance and Information, Queen's University of Belfast, 1994.

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D, Wieseman Carol, McGraw Sandra M, and Langley Research Center, eds. Multiple-function multi-input/multi-output digital control and on-line analysis. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.

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D, Wieseman Carol, McGraw Sandra M, and Langley Research Center, eds. Multiple-function multi-input/multi-output digital control and on-line analysis. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.

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D, Wieseman Carol, McGraw Sandra M, and Langley Research Center, eds. Multiple-function multi-input/multi-output digital control and on-line analysis. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.

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Book chapters on the topic "Multiple input multiple output"

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Yang, Ruliang, Haiying Li, Shiqiang Li, Ping Zhang, Lulu Tan, Xiangwu Gao, and Xueyan Kang. "Multiple-Input Multiple-Output SAR." In High-Resolution Microwave Imaging, 387–406. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-7138-6_12.

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Kumar, Sanjay. "Multiple Input Multiple Output (MIMO) Systems." In Wireless Communication-the fundamental and advanced concepts, 613–50. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003340058-21.

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Biswas, Balaka, and Ayan Karmakar. "Multiple Input and Multiple Output Antennas." In Printed Antennas for Future Generation Wireless Communication and Healthcare, 155–97. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003389859-8.

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Dziunikowski, W. "Multiple-Input Multiple-Output (MIMO) Antenna Systems." In Adaptive Antenna Arrays, 259–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05592-2_15.

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Hoeher, Peter Adam. "Optical Multiple-Input Multiple-Output (MIMO) Techniques." In Visible Light Communications, 34–39. München: Carl Hanser Verlag GmbH & Co. KG, 2019. http://dx.doi.org/10.3139/9783446463035.005.

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Speidel, Joachim. "Principles of Multiple Input Multiple Output Transmission." In Signals and Communication Technology, 143–63. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00548-1_17.

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Speidel, Joachim. "Principles of Multiple Input Multiple Output Transmission." In Signals and Communication Technology, 179–200. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67357-4_13.

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Hoeher, Peter Adam. "Optical Multiple-Input Multiple-Output (MIMO) Techniques." In Visible Light Communications, 133–54. München: Carl Hanser Verlag GmbH & Co. KG, 2019. http://dx.doi.org/10.3139/9783446461727.005.

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Kovalyov, Igor P. "Capacity of Multiple Input Multiple Output Communication Systems." In SDMA for Multipath Wireless Channels, 27–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18863-3_3.

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Kavitha, K., and H. Mangalam. "Multilevel Coding for Multiple Input Multiple Output System." In Computational Intelligence and Sustainable Systems, 267–94. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02674-5_18.

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Conference papers on the topic "Multiple input multiple output"

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Ponce, Octavio, Tobias Rommel, Marwan Younis, Pau Prats, and Alberto Moreira. "Multiple-input multiple-output circular SAR." In 2014 15th International Radar Symposium (IRS). IEEE, 2014. http://dx.doi.org/10.1109/irs.2014.6869262.

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Frasca, Marco, and Alfonso Farina. "Multiple Input-Multiple Output Quantum Radar." In 2020 IEEE Radar Conference (RadarConf20). IEEE, 2020. http://dx.doi.org/10.1109/radarconf2043947.2020.9266594.

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Ochs, Julian, Zuardin Akbar, and Philipp Eversmann. "Additive Manufacturing with Solid Wood: Continuous robotic laying of multiple wicker filaments through micro lamination." In Design Computation Input/Output 2020. Design Computation Ltd., 2020. http://dx.doi.org/10.47330/dcio.2020.jzan7781.

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Kaskouta, Elpida, Themis Kamilaris, Roman Sotner, Jan Jerabek, and Costas Psychalinos. "Single- Input Multiple-Output and Multiple-Input Single-Output Fractional-Order Filter Designs." In 2018 41st International Conference on Telecommunications and Signal Processing (TSP). IEEE, 2018. http://dx.doi.org/10.1109/tsp.2018.8441348.

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Jiang, Lei, Lars Thiele, Armin Brylka, Stephan Jaeckel, and Volker Jungnickel. "Polarization characteristics of multiple-input multiple-output channels." In 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2008. http://dx.doi.org/10.1109/pimrc.2008.4699800.

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Juan Chen, Dazhi Zeng, and Teng Long. "A study of multiple-input multiple-output radar." In 2008 International Conference on Radar (Radar 2008). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4653958.

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Ahmad, Faraz, Aziz Ahmad Haider, Hassan Naveed, Atay Mustafa, and Irshad Ahmad. "Multiple Input Multiple Output DC to DC Converter." In 2018 5th International Multi-Topic ICT Conference (IMTIC). IEEE, 2018. http://dx.doi.org/10.1109/imtic.2018.8467229.

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Liu, Chunbo, Chao Wu, and Xiang'e Han. "Multiple-input multiple-output 3D imaging laser radar." In Applied Optics and Photonics China (AOPC2015), edited by Haimei Gong, Nanjian Wu, Yang Ni, Weibiao Chen, and Jin Lu. SPIE, 2015. http://dx.doi.org/10.1117/12.2202974.

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Povey, G. J. R. "Multiple input multiple output (MIMO) radio channel models." In Third International Conference on 3G Mobile Communication Technologies. IEE, 2002. http://dx.doi.org/10.1049/cp:20020430.

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Shokeen, Safina, and Harbinder Singh. "Multiple Input Multiple Output: An IOT based Application." In 2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT). IEEE, 2023. http://dx.doi.org/10.1109/incacct57535.2023.10141742.

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Reports on the topic "Multiple input multiple output"

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Smallwood, David Ora. Extreme inputs/outputs for multiple input multiple output linear systems. Office of Scientific and Technical Information (OSTI), September 2005. http://dx.doi.org/10.2172/875611.

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Hurdle, Daniel J. Development of Stability/Robustness Considerations for Control System Design with Multiple Input/Multiple Output Plants. Fort Belvoir, VA: Defense Technical Information Center, June 1988. http://dx.doi.org/10.21236/ada200408.

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Bernhard, Jennifer T. Enabling Technology for Multiple Input Multiple Output (MIMO) Systems on Mobile Military Platforms: Antennas, Switches, and Packaging. Fort Belvoir, VA: Defense Technical Information Center, May 2011. http://dx.doi.org/10.21236/ada544844.

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Whelan, Gene, Karl J. Castleton, John W. Buck, Randal Y. Taira, Gariann M. Gelston, and Dennis L. Strenge. Combining Multiple-Module Output Boundary Conditions to Produce a Single-Input-Module Boundary Condition in FRAMES. Office of Scientific and Technical Information (OSTI), October 2006. http://dx.doi.org/10.2172/894877.

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van der Mensbrugghe, Dominique. Using Python for Parallelization. GTAP Working Paper, April 2023. http://dx.doi.org/10.21642/gtap.wp93.

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This short note describes one way of taking advantage of the multiple cores on most desktop computers. It describes running one of the processes in the GTAP build procedure called ’FIT’. The input to ’FIT’ is a balanced input-output table (IOT), which is adjusted to a number of exogenous elements including aggregate domestic absorption and import and export vectors. It is run for each of the countries/regions in the build, but there is no interaction across countries/regions and thus can be run in parallel. The procedure uses a Python script to run the ’FIT’ procedure, either sequentially or in parallel. Most of the code is generic and thus it can be easily adapted to other programs that can take advantage of parallelism, for example Monte Carlo simulations. For the tested ’FIT’ procedure, it reduces the runtime from 75 minutes to 14 minutes on a relatively new desktop with a 12th Generation Intel Core I-9 CPU with 16 physical cores.
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Peri, Alessandro, Omar Rachedi, and Iacopo Varotto. The public investment multiplier in a production network. Madrid: Banco de España, March 2023. http://dx.doi.org/10.53479/29825.

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Aggregate and sectoral effects of public investment crucially depend on the interaction between the output elasticity to public capital and input-output linkages. We identify this dependence through the lens of a New Keynesian production network. This setting doubles the socially optimal amount of public capital relative to the average one-sector economy, leading to a substantial amplification of the public investment multiplier. We also document novel sectoral implications of public investment. Although public investment is concentrated in far fewer sectors than public consumption, its effects are relatively more evenly distributed across industries. We validate this model implication in the data.
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Falkowski, Bogdan. Spectral Methods for Boolean and Multiple-Valued Input Logic Functions. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1151.

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Wagner, D. Ry, Eliezer Lifschitz, and Steve A. Kay. Molecular Genetic Analysis of Flowering in Arabidopsis and Tomato. United States Department of Agriculture, May 2002. http://dx.doi.org/10.32747/2002.7585198.bard.

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The primary objectives for the US lab included: the characterization of ELF3 transcription and translation; the creation and characterization of various transgenic lines that misexpress ELF3; defining genetic pathways related to ELF3 function regulating floral initiation in Arabidopsis; and the identification of genes that either interact with or are regulated by ELF3. Light quality, photoperiod, and temperature often act as important and, for some species, essential environmental cues for the initiation of flowering. However, there is relatively little information on the molecular mechanisms that directly regulate the developmental pathway from the reception of the inductive light signals to the onset of flowering and the initiation of floral meristems. The ELF3 gene was identified as possibly having a role in light-mediated floral regulation since elj3 mutants not only flower early, but exhibit light-dependent circadian defects. We began investigating ELF3's role in light signalling and flowering by cloning the ELF3 gene. ELF3 is a novel gene only present in plant species; however, there is an ELF3 homolog within Arabidopsis. The Arabidopsis elj3 mutation causes arrhythmic circadian output in continuous light; however, we show conclusively normal circadian function with no alteration of period length in elj3 mutants in dark conditions and that the light-dependent arrhythmia observed in elj3 mutants is pleiotropic on multiple outputs regardless of phase. Plants overexpressing ELF3 have an increased period length in constant light and flower late in long-days; furthermore, etiolated ELF3-overexpressing seedlings exhibit a decreased acute CAB2 response after a red light pulse, whereas the null mutant is hypersensitive to acute induction. This finding suggests that ELF3 negatively regulates light input to both the clock and its outputs. To determine whether ELF3's action is phase dependent, we examined clock resetting by light pulses and constructed phase response curves. Absence of ELF3 activity causes a significant alteration of the phase response curve during the subjective night, and overexpression of ELF3 results in decreased sensitivity to the resetting stimulus, suggesting that ELF3 antagonizes light input to the clock during the night. Indeed, the ELF3 protein interacts with the photoreceptor PHYB in the yeast two-hybrid assay and in vitro. The phase ofELF3 function correlates with its peak expression levels of transcript and protein in the subjective night. ELF3 action, therefore, represents a mechanism by which the oscillator modulates light resetting. Furthermore, flowering time is dependent upon proper expression ofELF3. Scientifically, we've made a big leap in the understanding of the circadian system and how it is coupled so tightly with light reception in terms of period length and clock resetting. Agriculturally, understanding more about the way in which the clock perceives and relays temporal information to pathways such as those involved in the floral transition can lead to increased crop yields by enabling plants to be grown in suboptimal conditions.
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Li, H. Development of a Novel Bi-Directional Isolated Multiple-Input DC-DC Converter. Office of Scientific and Technical Information (OSTI), October 2005. http://dx.doi.org/10.2172/885996.

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Mungiole, Michael, and Alan Wetmore. COMBIC Modifications to Determine Aerosol Cloud Densities for Multiple Obscurant Input Sources. Fort Belvoir, VA: Defense Technical Information Center, March 2001. http://dx.doi.org/10.21236/ada392771.

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