gnss accuracy

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MGEX Data Download

MGEX Data Holdings The MULTI-GNSS Experiment (MGEX) had been set-up by the IGS to track, collate and analyze all available GNSS signals. This includes signals from Beidou, Galileo, QZSS, and Irnss, as well as from modernized GPS and GLONASS satellites and any space-based Augmentation System (SBAS) of interest. Analysis centers would attempt to estimate inter-system calibration biases, compare equipment pe

The problem of T02 conversion Rinex The original data of Trimble NetR9

First of all, it must be admitted that this GNSS receiver is powerful and can accept GPs, GALILEO, GLONASS, BDS satellite signals, 2.11 Navigation DATA GPS (GPS) Rinex Version/type 2.11 E:galileo NAV DATA Rinex version/type 2.11 GLONASS NAV DATA Rinex version/type 2.11 N:gnss NAV DATA C:bds Rinex version/type This also leads to the original rinex2.11 version can not accommodate so much information, so rinex3.02 imperative, but because many software is

Handwritten numeral recognition using the randomforest of Spark mllib on Kaggle handwritten digital datasets

Yesterday I used spark Mllib's naïve Bayesian to do handwritten digit recognition, accuracy at about 0.83, today used RandomForest to train the model, and the parameter tuning.First of all, RandomForest some of the parameters used to train the classifier are: Numtrees: Number of trees in a random forest. Increasing this value can reduce the variance of the prediction, improve the accuracy of the pr

Mxnet Official Documentation Tutorial (2): an example of handwritten numeral recognition based on convolution neural network

') # We Visualize the network structure with output size (the batch_size is ignored.) shape= {"Data": (Batch_size, 1,28,28)} Mx.viz.plot_network (SYMBOL=MLP, Shape=shape) Now the neural network definition and data iterator are all ready. We can start training: Import logging Logging.getlogger (). Setlevel (Logging. DEBUG) Model= Mx.model.FeedForward ( Symbol = MLP, # network structure ) Model.fit ( X=train_iter, # Training data eval_data=val_iter,# Validation Data Batch_end

[Recommendation System thesis notes] A summary of the evaluation methods of Personalized Recommendation Systems (concepts-Introduction)

performance on different datasets;2) The evaluation objectives are also different;3) are online user tests required for different data?4) it is also very difficult to select which indicators for comprehensive evaluation. These four factors directly determine the objectivity and rationality of the evaluation. Accuracy Evaluation Index 1. Prediction Accuracy The prediction

Z buffer and W Buffer

Almost all current 3D display chips have Z buffer or W buffer. However, we can often see that someW buffer has some basic problems, such as the usage of Z buffer, Z buffer and W BufferOr accuracy issues. The purpose of this article is to briefly introduce Z buffer and W buffer.What is the use of Z buffer and W buffer? Their main purpose is to remove the hidden surface, that is, the hidden surface.Elimination (or find the visible surface detemination,

Hulu machine learning questions and Answers series | 21: Classification, sequencing, evaluation of regression models

The answer to this issue, combined with a specific Hulu business case, can be said to be interesting and understood. Come on, learn!Today's content is"Classification, sequencing, evaluation of regression models"Scenario DescriptionIn the model evaluation process, classification problems, sequencing problems, regression problems often need to use different evaluation indicators for evaluation. However, in many evaluation indicators, most of the indicators can only reflect the model part of the ab

R-cnn,spp-net, FAST-R-CNN,FASTER-R-CNN, YOLO, SSD series deep learning detection method combing

-layer is suitable for different sizes of input images, spp-layer the last convolution feature for pool operation and generates a fixed size feature map to match the subsequent full join layer.2. Because spp-net supports different size input images, the image features extracted by spp-net have better scale invariance, which reduces the possibility of overfitting during training.3.R-CNN in training and testing is required for each proposal in each image to carry out a CNN pre-feature extraction,

"Python Machine learning" notes (vi)

first pipelined model clamp, first divide the dataset into a training dataset (data from the original DataSet 80%) and a separate test data set (20% of the original dataset) from sklearn.cross_validation Import train_test_splitx_train,x_test,y_train,y_test=train_test_split (X,y,test _size=0.2, random_state=1)Integrated Data transformation and evaluation operations in the pipelineWe want to compress the initial 30-dimensional data into a two-dimensional subspace through PCA. Instead of fitting o

[Turn] attitude calculation of four-rotor aircraft small knowledge points

1, Inertial measurement unit IMU (inertialmeasurement unit)Attitude Heading Reference System ahrs (attitude and Heading Reference systems)Geomagnetic angular velocity gravity marg (magnetic, Angular rate, and Gravity)MEMS (Micro electrical Mechanical systems)DOF Dimension DOF (Dimension of Freedom)Unmanned aerial Vehicle UAV (unmanned aerial Vehicle)Extended Kalman Filter EKF (Extended Kalman Filter)Lossless Kalman Filter UKF (unscented Kalman Filter)Inertial navigation systems INS (inertial Nav

Several important concepts of satellite positioning

1. The full name of GNSS is the Global Navigation Satellite (Navigation satellite System), which refers to all satellite navigation systems, including global, regional and enhanced, such as the U.S. GPS, Russian GLONASS, and European Galileo , China's Beidou satellite navigation system, as well as related enhancement systems, such as the United States Waas (Wide area Enhancement system), Europe's EGNOS (European static navigation overlap system) and J

Information and communication Engineering-important international academic conferences and international top journals (for reference only)

meeting18, Vehicular technology CONFERENCE/VTC/International Transmission technology Conference/Close meeting with industry, 2 times/year19. ACM Conference on Embedded networked sensor systems Sensys/embedded Network Sensing System/WSN's top annual meeting (single track small meeting)20. Global Navigation Satellite systems/ion/ieee GNSS/Global Navigation Satellite System Conference/IEEE and American Navigation Society jointly held annual meeting21, I

WIN10 System flight mode is the same as cell phone? What's the use?

be achieved, some need to use third-party software. Flight mode in Windows 10 According to Microsoft's official documentation, when Windows 10 users turn on flight mode, the following services will be disabled: Internet (Internet) Cellular data GPS (Global Positioning System) GNSS (Global Navigation Satellite System) NFC (Near-field communication) How to switch flight mode in Windows 10

How to select Super Parameters in machine learning algorithm: Learning rate, regular term coefficient, minibatch size

represent the current position, as well as the direction of the gradient, the higher the learning rate, then the more the direction of the arrow, if too large will lead directly across the valley to reach the other end, so-called "step too big, step over the valley.In practice, how to roughly determine a better learning rate? It seems to be only through trying. You can set the learning rate to 0.01, and then observe the training cost of the trend, if the cost is decreasing, then you can gradual

How to select Super Parameters in machine learning algorithm: Learning rate, regular term coefficient, minibatch size

the arrow, if too large will lead directly across the valley to reach the other end, so-called "step too big, step over the valley.In practice, how to roughly determine a better learning rate? It seems to be only through trying. You can set the learning rate to 0.01, and then observe the training cost of the trend, if the cost is decreasing, then you can gradually adjust the learning rate, try 0.1,1.0 .... If the cost is increasing, you have to reduce the learning rate, try 0.001,0.0001 ... Aft

MTK chip Data Daquan, MediaTek all types of chip data

MTK chip Data Daquan, MediaTek's various models of chip data are:The other does not say, directly may be clear: The picture does not know why not show.Download Link: https://bbs.usoftchina.com/forum-238-1.htmlThese information are all the small partners to share and collected, dare not say that all of the MTK chip data have, but most of them are here, the model is also many, need to add our AC Q Group: 813238832. The following release of the different models of the introduction and information f

CSCL Kunming data Download Network disk

CSCL Kunming data Download the list of common filesIHhad18 hand Thin Software The latest version of the download network disk 171 folderHI-RTK Latest Version: HI-RTK V3.3.3 (20150204). zip 13,576kbIHand18 hand thin connected to the computer synchronization drive Network Disk 172 folderInstallation instructions: How to install the hand-thin drive and the connection program. Doc 190KBXP Driver: WinCE Workbook connection Program Activesync4.5.msi 7,715kbWin7 Driver: ihand18 notebook connection pc S

GPS deformation monitoring and its pseudo-satellite enhancement technology in mining area GPS and its pseudolite augmented technique for deformation monitoring in the Mining areas

Author: Liu Chao mentor: Professor KakaiDegree of application: PhD in Engineering: School of Environment and Surveying and mappingSubject major: Geodetic Surveying and Surveying engineering research direction: GNSS Disaster MonitoringChairman of the Defence Committee: GWO of the Institute:Original: LinkGPS deformation monitoring and its pseudo-satellite enhancement technology in mining area GPS and its pseudolite augmented technique for deformation mo

Oasys ALP v19.2.0.3 1CD + oasys Aspire 1.3.1.0 1CD

-processing of GNSS/GPS measurement data)Trimble Spectra.precision.survey.office.v3.30.win64 1DVDTrimble Business Center v2.20 WinXP Multilingual 3CDTrimble ecognition Developer v9.01 Win64 1CD (a powerful development environment for object-based image analysis)Trimble.ecognition.developer.v8.7.1905.win32 1CD (a powerful development environment for object-based image analysis)Topografix.expertgps.pro.v4.90.portable 1CD (Map software)Topolt v11.1.0.3 1

TBC2.81----Latest version download

http://www.trimble.com/globalTRLPAGE.asp?Nav=Collection-36339 TBC 2.80 full Install TBC 2.81 Update (from 2.70 or newer) (792425 KB)note:build Date (entitlement date) for this version is 1 October, 2012. Users with warranties the expired before this date would be able to install the this update, but they would not be able the use Licensed features. To check your warranty date, in Trimble Business Center go to help > About Trimble Business center > License.For information on purchasing a software

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