5 papers
FaSST: Fast Sparsifying Secondary Transform
Darukeesan Pakiyarajah, Samuel Fernández-Menduiña, Eduardo Pavez +2
Data-dependent secondary transforms, which aim to decorrelate coefficients of a separable primary transform, can improve residual coding efficiency; however, their deployment is of…
Joint Optimization of Primary and Secondary Transforms Using Rate-Distortion Optimized Transform Design
Darukeesan Pakiyarajah, Eduardo Pavez, Antonio Ortega +4
Data-dependent transforms are increasingly being incorporated into next-generation video coding systems such as AVM, a codec under development by the Alliance for Open Media (AOM),…
Graph-Based Signal Sampling with Adaptive Subspace Reconstruction for Spatially-Irregular Sensor Data
Darukeesan Pakiyarajah, Eduardo Pavez, Antonio Ortega
Choosing an appropriate frequency definition and norm is critical in graph signal sampling and reconstruction. Most previous works define frequencies based on the spectral properti…
Irregularity-Aware Bandlimited Approximation for Graph Signal Interpolation
Darukeesan Pakiyarajah, Eduardo Pavez, Antonio Ortega
In most work to date, graph signal sampling and reconstruction algorithms are intrinsically tied to graph properties, assuming bandlimitedness and optimal sampling set choices. How…
WLS Design of ARMA Graph Filters using Iterative Second-Order Cone Programming
Darukeesan Pakiyarajah, Chamira U. S. Edussooriya
We propose a weighted least-square (WLS) method to design autoregressive moving average (ARMA) graph filters. We first express the WLS design problem as a numerically-stable optimi…