Sökning: "continuous LASSO"

Hittade 3 avhandlingar innehållade orden continuous LASSO.

1. 1. Parameter Estimation Using Sparse Modeling: Algorithms and Performance Analysis

   Författare :Ashkan Panahi; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; compressed sensing; linear regression; spatial sparsity; convex variational optimization; DOA estimation; continuous LASSO; Complex LASSO;

   Sammanfattning : The idea of representing a signal in a classical computing machine has played a central role in the field of signal processing. The last two decades have witnessed an important breakthrough in this by taking all possible linear transforms and domains into account. LÄS MER

3. 2. Classification models for high-dimensional data with sparsity patterns

   Författare :Annika Tillander; Tatjana Pavlenko; Daniel Thorburn; Patrik Ryden; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; High-dimensionality; supervised classification; classification accuracy; sparse; block-diagonal covariance structure; graphical Lasso; separation strength; discretization; Statistics; statistik;

   Sammanfattning : Today's high-throughput data collection devices, e.g. spectrometers and gene chips, create information in abundance. However, this poses serious statistical challenges, as the number of features is usually much larger than the number of observed units. LÄS MER

4. 3. Parameter Estimation and Filtering Using Sparse Modeling

   Författare :Ashkan Panahi; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; sparsity based tracking; Sparsity based techniques; off-grid effect; parameter estimation; continuous basis pursuit; compressed sensing;

   Sammanfattning : Sparsity-based estimation techniques deal with the problem of retrieving a data vector from an undercomplete set of linear observations, when the data vector is known to have few nonzero elements with unknown positions. It is also known as the atomic decomposition problem, and has been carefully studied in the field of compressed sensing. LÄS MER