Essays about: "NMSE"

Showing result 1 - 5 of 9 essays containing the word NMSE.

  1. 1. Deep Neural Networks for dictionary-based 5G channel estimation with no ground truth in mixed SNR scenarios

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Matteo Ferrini; [2022]
    Keywords : 5G; Channel Estimation; Sparse Linear Inverse Problem; Approximate Message Passing; Neural Networks; 5G; kanaluppskattning; sparsamt linjärt inversproblem; approximativ meddelandeöverföring; neurala nätverk;

    Abstract : Channel estimation is a fundamental task for exploiting the advantages of massive Multiple-Input Multiple-Output (MIMO) systems in fifth generation (5G) wireless technology. Channel estimates require solving sparse linear inverse problems that is usually performed with the Least Squares method, which brings low complexity but high mean squared error values. READ MORE

  3. 2. Predictions of Electricity Prices in Different Time Periods With Lasso

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Harriet Manninger; Xue Liu; [2022]
    Keywords : Electricity price prediction; linear model; lasso; affecting factors;

    Abstract : When the big data time comes, people also need to keep pace with the times to seek and develop tools that can deal with the vast amount of information. In this project, lassois applied to build parametric models of electricity prices based on different affecting factors. READ MORE

  4. 3. Nonlinear effects and predictions in advanced antenna systems in 5G Distortion Effects in 5G

    University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Author : Altahra Mohammed; [2019]
    Keywords : PA; DPD; Active load-pull; Calibration.;

    Abstract : In the next-generation wireless cellular communication systems known as 5G, radio equipment will be deployed in several frequency bands, among them is the millimeter wave bands (26 - 40 GHz). The use of these high frequencies can help to mitigate the limited spectrum problem and higher data rates can be achieved [2] . READ MORE

  5. 4. Time series Forecast of Call volume in Call Centre using Statistical and Machine Learning Methods

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Nicoló Baldon; [2019]
    Keywords : Time Series Analysis; SARIMA; Seasonal ANN; LSTM; Call Center data; seasonal time series;

    Abstract : Time series is a collection of points gathered at regular intervals. Time series analysis explores the time correlations and tries to model it according to trend and seasonality. One of the most relevant tasks, in time series analysis, is forecasting future values, which is considered fundamental in many real-world scenarios. READ MORE

  6. 5. Development of a Digital Optimal Filter Platform

    University essay from Uppsala universitet/Signaler och System

    Author : Joakim Brykt; [2018]
    Keywords : ;

    Abstract : This report is the result of a Master Thesis project which is a part of the Master programme in Electrical Engineering at Uppsala universitet. The purpose of this Master Thesis project is to develop an embedded platform for the design and implementation of optimal digital filters, in particular, the Kalman and the Wiener filter. READ MORE