Essays about: "Sparse Dictionary Learning"

Showing result 1 - 5 of 7 essays containing the words Sparse Dictionary Learning.

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. Sparse Approximation of Spatial Channel Model with Dictionary Learning

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

   Author : Matilda Zhou; [2022]
   Keywords : Spatial channel model SCM ; dictionary learning; compressive sensing CS ; discrete Fourier transform DFT ; overcomplete discrete Fourier transform ODFT ; Rumslig kanalmodell; ordbokslärning; kompressionsavkänning; diskret Fourier-transform; överkomplett diskret Fourier-transform;

   Abstract : In large antenna systems, traditional channel estimation is costly and infeasible in some situations. Compressive sensing was proposed to estimate the channel with fewer measurements. Most of the previous work uses a predefined discrete Fourier transform matrix or overcomplete Fourier transform matrix to approximate the channel. READ MORE

4. 3. Hand Gesture Classification using Millimeter Wave Pulsed Radar

   University essay from Lunds universitet/Matematisk statistik

   Author : Eda Dagasan; [2020]
   Keywords : Hand Gesture Classification; Millimeter Wave Radar; Statistical Signal Processing; Time-Frequency Analysis; Room Impulse Response Estimation; Sparse Dictionary Learning; Classification; Supervised Learning; Convolutional Neural Networks; k-Nearest Neighbor; Mathematics and Statistics;

   Abstract : Millimeter wave pulsed radar has found many applications, among them hand gesture sensing, which this work has as purpose. This application has already shown good potential, [1], and here in this work robustness aspects are taken into account. READ MORE

5. 4. Outlier detection on sparse-encoded vibration signals from rolling element bearings

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Kammal Al-Kahwati; [2019]
   Keywords : machine learning; outlier detection; data analysis; rolling element bearing; maskininlärning; dataanalys; kullager;

   Abstract : The demand for reliable condition monitoring systems on rotating machinery for power generation is continuously increasing due to a wider use of wind power as an energy source, which requires expertise in the diagnostics of these systems. An alternative to the limited availability of diagnostics and maintenance experts in the wind energy sector is to use unsupervised machine learning algorithms as a support tool for condition monitoring. READ MORE

6. 5. Zedboard based platform for condition monitoring and control experiments

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Anders Adrielsson; [2018]
   Keywords : Condition Monitoring; Matching Pursuit; Dictionary Learning; Zedboard;

   Abstract : New methods for monitoring the condition of roller element bearings in rotating machinery offer possibilities to reduce repair- and maintenance costs, and reduced use of environmentally harmful lubricants. One such method is sparse representation of vibration signals using matching pursuit with dictionary learning, which so far has been tested on PCs with data from controlled tests. READ MORE