# .mat and matlab file

This data file provides the MATLAB code to reconfigure the distribution networks using a fast and simple two-stage heuristic approach.

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Automotive millimeter wave Frequency Modulated Continuous Wave radars are finding widespread use in various fields. At times, the hardware specifications of commercial-off-the-shelf products prohibit the use of these products for other diverse radar measurements. More often, velocity ambiguity results when an attempt is made to measure the velocity of a high-speed target with a radar that is not designed for that purpose in the first place.

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Dataset used for "**A Machine Learning Approach for Wi-Fi RTT Ranging**" paper (ION ITM 2019). The dataset includes almost 30,000 Wi-Fi RTT (FTM) raw channel measurements from real-life client and access points, from an office environment. This data can be used for Time of Arrival (ToA), ranging, positioning, navigation and other types of research in Wi-Fi indoor location. The zip file includes a README file, a CSV file with the dataset and several Matlab functions to help the user plot the data and demonstrate how to estimate the range.

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This is the dataset of mmWave massive MIMO beamspace channels, which is used for the experiment implementation of the paper "Acquiring Measurement Matrices via Deep Basis Pursuit for Sparse Channel Estimation in mmWave Massive MIMO Systems". The source code of the experiment implementation is also open-access on the Github repository DeepBP-AE.

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PV data

Temperature (Celsius)33.00

Number of cells in series (ns)1

Number of cells in parallel (np)1

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Encoding and decoding tables for 6b8b encoder/decoder for sefl-syncrhonized improved RMII protocol. Proposed encoder/decoder garantee that 2-bit TXD/RXD will change each data transmission cycle, making it possible for RMII interface to work without REF_CLK, TX_EN and CRS_DV lines.

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An optimization model with heuristic algorithm is implemented to optimize the virtual resistances of droop control for the grid-connected converters of dispatchable units, such that the power flow can be regulated. The performances of the proposed strategy are evaluated by the case studies of a 12-bus 380 V DC microogrid using matlab and a 32-bus 380 V DC microgrid using a real-time digital simulator.

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BCI-Double-ErrP-Dataset is an EEG dataset recorded while participants used a P300-based BCI speller. This speller uses a P300 post-detection based on Error-related potentials (ErrPs) to detect and correct errors (i.e. when the detected symbol does not match the user’s intention). After the P300 detection, an automatic correction is made when an ErrP is detected (this is called a “Primary ErrP”). The correction proposed by the system is also evaluated, eventually eliciting a “Secondary ErrP” if the correction is wrong.

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The purpose of distribution network reconfiguration (DNR) is to determine the optimal topology of an electricity distribution network, which is an efficient measure to reduce network power losses. Electricity load demand and photovoltaic (PV) output are uncertain and vary with time of day, and will affect the optimal network topology. Single-hour deterministic DNR is incapable of handling this uncertainty and variability. Therefore, this paper proposes to solve a multi-hour stochastic DNR (SDNR).

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