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non-bipartite

  • ESP8266 Non-OS AT 指令使用示例

    ESP8266 AT指令手冊示例,物聯網使用廣泛,參考此文檔可進行快速開發。

    標簽: Non-OS 8266 ESP AT 指令

    上傳時間: 2018-06-05

    上傳用戶:dear920

  • 基于多尺度字典的圖像超分辨率重建

    Reconstruction- and example-based super-resolution (SR) methods are promising for restoring a high-resolution (HR) image from low-resolution (LR) image(s). Under large magnification, reconstruction-based methods usually fail to hallucinate visual details while example-based methods sometimes introduce unexpected details. Given a generic LR image, to reconstruct a photo-realistic SR image and to suppress artifacts in the reconstructed SR image, we introduce a multi-scale dictionary to a novel SR method that simultaneously integrates local and non-local priors. The local prior suppresses artifacts by using steering kernel regression to predict the target pixel from a small local area. The non-local prior enriches visual details by taking a weighted average of a large neighborhood as an estimate of the target pixel. Essentially, these two priors are complementary to each other. Experimental results demonstrate that the proposed method can produce high quality SR recovery both quantitatively and perceptually.

    標簽: Super-resolution Multi-scale Dictionary Single Image for

    上傳時間: 2019-03-28

    上傳用戶:fullout

  • R-SLAM--Resilient localization and mapping

    Accurate pose estimation plays an important role in solution of simultaneous localization and mapping (SLAM) problem, required for many robotic applications. This paper presents a new approach called R-SLAM, primarily to overcome systematic and non-systematic odometry errors which are generally caused by uneven floors, unexpected objects on the floor or wheel-slippage due to skidding or fast turns.The hybrid approach presented here combines the strengths of feature based and grid based methods to produce globally consistent high resolution maps within various types of environments.

    標簽: localization environments challenging Resilient mapping R-SLAM and in

    上傳時間: 2019-09-15

    上傳用戶:zhudx2007

  • tensor_n

    atlab code for Non-negative Factorization of the Occurrence Tensor from Financial Contracts https://arxiv.org/pdf/1612.03350.pdf, 

    標簽: tensor_n

    上傳時間: 2020-01-01

    上傳用戶:dawn1818

  • tensor_1

    atlab code for Non-negative Factorization of the Occurrence Tensor from Financial Contracts https://arxiv.org/pdf/1612.03350.pdf, which 

    標簽: tensor

    上傳時間: 2020-01-01

    上傳用戶:dawn1818

  • Full-Duplex+Small+Cells

    The recent developments in full duplex (FD) commu- nication promise doubling the capacity of cellular networks using self interference cancellation (SIC) techniques. FD small cells with device-to-device (D2D) communication links could achieve the expected capacity of the future cellular networks (5G). In this work, we consider joint scheduling and dynamic power algorithm (DPA) for a single cell FD small cell network with D2D links (D2DLs). We formulate the optimal user selection and power control as a non-linear programming (NLP) optimization problem to get the optimal user scheduling and transmission power in a given TTI. Our numerical results show that using DPA gives better overall throughput performance than full power transmission algorithm (FPA). Also, simultaneous transmissions (combination of uplink (UL), downlink (DL), and D2D occur 80% of the time thereby increasing the spectral efficiency and network capacity

    標簽: Full-Duplex Cells Small

    上傳時間: 2020-05-27

    上傳用戶:shancjb

  • Opportunistic+Spectrum+Sharing

    Rapid growth of wireless communication services in recent decades has created a huge demand of radio spectrum. Spectrum scarcity and utilization inefficiency limit the development of wireless networks. Cognitive radio is a promising tech- nology that allows secondary users to reuse the underutilized licensed spectrum of primary users. The major challenge for spectrum sharing is to achieve high spectrum efficiency while making non-intrusive access to the licensed bands. This requires in- formation of availability and quality of channel resources at secondary transmitters, however, is difficult to be obtained perfectly in practice.

    標簽: Opportunistic Spectrum Sharing

    上傳時間: 2020-05-31

    上傳用戶:shancjb

  • qorvo-carrier-aggregation-fundamentals

    Mobile operators must continuously pursue cost‐ effective and efficient solutions to meet the high data demand requirements of their subscribers. Limited spectrum allocations and non‐contiguous spectrum blocks continue to pose challenges for mobile operators supporting large data uploads and downloads across their networks. With the increase in video and social media content, the challenges have increased exponentially.

    標簽: qorvo-carrier-aggregation-fundame ntals

    上傳時間: 2020-05-31

    上傳用戶:shancjb

  • Signal Processing for Telecommunications

    This paper presents a Hidden Markov Model (HMM)-based speech enhancement method, aiming at reducing non-stationary noise from speech signals. The system is based on the assumption that the speech and the noise are additive and uncorrelated. Cepstral features are used to extract statistical information from both the speech and the noise. A-priori statistical information is collected from long training sequences into ergodic hidden Markov models. Given the ergodic models for the speech and the noise, a compensated speech-noise model is created by means of parallel model combination, using a log-normal approximation. During the compensation, the mean of every mixture in the speech and noise model is stored. The stored means are then used in the enhancement process to create the most likely speech and noise power spectral distributions using the forward algorithm combined with mixture probability. The distributions are used to generate a Wiener filter for every observation. The paper includes a performance evaluation of the speech enhancer for stationary as well as non-stationary noise environment.

    標簽: Telecommunications Processing Signal for

    上傳時間: 2020-06-01

    上傳用戶:shancjb

  • The 3G IP Multimedia Subsystem (IMS)

    When 3GPP started standardizing the IMS a few years ago, most analysts expected the number of IMS deploymentsto grow dramatically as soon the initial IMS specifications were ready (3GPP Release 5 was functionallyfrozenin the first half of 2002and completedshortly after that). While those predictions have proven to be too aggressive owing to a number of upheavals hitting the ICT (Information and Communications Technologies) sector, we are now seeing more and more commercial IMS-based service offerings in the market. At the time of writing (May 2008), there are over 30 commercial IMS networks running live traffic, addingup to over10million IMS users aroundthe world; the IMS is beingdeployedglobally. In addition, there are plenty of ongoing market activities; it is estimated that over 130 IMS contracts have been awarded to all IMS manufacturers. The number of IMS users will grow substantially as these awarded contracts are launched commercially. At the same time, the number of IMS users in presently deployed networks is steadily increasing as new services are introduced and operators running these networks migrate their non-IMS users to their IMS networks.

    標簽: Multimedia Subsystem The IMS 3G IP

    上傳時間: 2020-06-01

    上傳用戶:shancjb

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