A Virtual Instrument for Time-Frequency Analysis of Signals With Highly Nonstationary Instantaneous Frequency. - Irena Orovic; Milica Orlandic; Srdjan Stankovic; Zdravko Uskokovic (IEEE Trans. Instrum. Meas., 2011)

Ambient hardware and the case for transcoding media streams. - Milica Orlandic; Kjetil Svarstad (FPL, 2012)

An area efficient hardware architecture design for H.264/AVC intra prediction reconstruction path based on partial reconfiguration. - Milica Orlandic; Kjetil Svarstad (DDECS, 2013)

A low complexity H.264/AVC 4×4 intra prediction architecture with macroblock/block reordering. - Milica Orlandic; Kjetil Svarstad (ReConFig, 2013)

An image watermarking based on the pdf modeling and quantization effects in the wavelet domain. - Irena Orovic; Milica Orlandic; Srdjan Stankovic (Multim. Tools Appl., 2014)

An MPEG-2 to H.264/AVC intra-frame transcoder architecture with mode decision in transform domain. - Milica Orlandic; Kjetil Svarstad (IEEE Trans. Consumer Electron., 2015)

Efficient Low-Complexity MPEG-2 to H.264/AVC Video Transcoding System Architectures and Optimization Techniques Susceptible to Dynamic Partial Reconfiguration. - Milica Orlandic (2015)

An Efficient Hardware Implementation for CAVLC Encoder in H.264/AVC. - Milica Orlandic (WiPiEC Journal, 2016)

An efficient hardware architecture of CAVLC encoder based on stream processing. - Milica Orlandic; Kjetil Svarstad (Microelectron. J., 2017)

An Efficient Real-Time FPGA Implementation of the CCSDS-123 Compression Standard for Hyperspectral Images. - Johan Fjeldtvedt; Milica Orlandic; Tor Arne Johansen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

An FPGA-oriented HW/SW Codesign of Lucy-Richardson Deconvolution Algorithm for Hyperspectral Images. - Karine Avagian; Milica Orlandic; Tor Arne Johansen (MECO, 2019)

HW/SW Implementation of Hyperspectral Target Detection Algorithm. - Dordije Boskovic; Milica Orlandic; Sivert Bakken; Tor Arne Johansen (MECO, 2019)

A low-complexity MPEG-2 to H.264/AVC wavefront intra-frame transcoder architecture. - Milica Orlandic; Kjetil Svarstad (J. Real Time Image Process., 2019)

An adaptive high-throughput edge detection filtering system using dynamic partial reconfiguration. - Milica Orlandic; Kjetil Svarstad (J. Real Time Image Process., 2019)

CubeDMA - Optimizing three-dimensional DMA transfers for hyperspectral imaging applications. - Johan Fjeldtvedt; Milica Orlandic (Microprocess. Microsystems, 2019)

A Parallel FPGA Implementation of the CCSDS-123 Compression Algorithm. - Milica Orlandic; Johan Fjeldtvedt; Tor Arne Johansen (Remote. Sens., 2019)

Compressive Sensing on Three Dimensional SFCW Ground-Penetrating Radar. - Jon Álvarez Justo; Egil Eide; Milica Orlandic (MECO, 2020)

Segment-Based Clustering of Hyperspectral Images Using Tree-Based Data Partitioning Structures. - Mohamed Ismail; Milica Orlandic (Algorithms, 2020)

A reconfigurable multi-mode implementation of hyperspectral target detection algorithms. - Dordije Boskovic; Milica Orlandic; Tor Arne Johansen (Microprocess. Microsystems, 2020)

Hyperspectral Image Processing Pipelines on Multiple Platforms for Coordinated Oceanographic Observation. - Joseph L. Garrett; Sivert Bakken; Elizabeth Frances Prentice; Dennis D. Langer; Frederik Stendahl Leira; Evelyn Honoré-Livermore; Roger Birkeland; Mariusz E. Grøtte; Tor Arne Johansen; Milica Orlandic (WHISPERS, 2021)

Detecting Pinholes in Coatings with Hyperspectral Imaging. - Joseph L. Garrett; Tor Arne Johansen; Milica Orlandic; M. A. Bashir; B. Raeissi (WHISPERS, 2021)

The Syncline Model - Analyzing the Impact of Time Synchronization in Sensor Fusion. - Erling Rennemo Jellum; Torleiv H. Bryne; Tor Arne Johansen; Milica Orlandic (CCTA, 2022)

A Comparative Study of Compressive Sensing Algorithms for Hyperspectral Imaging Reconstruction. - Jon Álvarez Justo; Daniela Lupu; Milica Orlandic; Ion Necoara; Tor Arne Johansen (IVMSP, 2022)

Testing of Software-Intensive Hyperspectral Imaging Payload for the HYPSO-1 CubeSat. - Sivert Bakken; Roger Birkeland; Joseph L. Garrett; P. Amund R. Marton; Milica Orlandic; Evelyn Honoré-Livermore; Dennis D. Langer; Cecilia Haskins; Tor Arne Johansen (SII, 2022)

Software Development and Integration of a Hyperspectral Imaging Payload for HYPSO-1. - Sivert Bakken; Evelyn Honoré-Livermore; Roger Birkeland; Milica Orlandic; Elizabeth Frances Prentice; Joseph L. Garrett; Dennis D. Langer; Cecilia Haskins; Tor Arne Johansen (SII, 2022)

A Modular Hyperspectral Image Processing Pipeline For Cubesats. - Sivert Bakken; Aksel S. Danielsen; Kristine Døsvik; Joseph L. Garrett; Milica Orlandic; Dennis D. Langer; Tor Arne Johansen (WHISPERS, 2022)

On-Board Characterization Of Hyperspectral Image Exposure And Cloud Coverage By Compression Ratio. - Roger Birkeland; Simen Berg; Milica Orlandic; Joseph L. Garrett (WHISPERS, 2022)

Study of the gOMP Algorithm for Recovery of Compressed Sensed Hyperspectral Images. - Jon Álvarez Justo; Milica Orlandic (WHISPERS, 2022)

Solving Sparse Assignment Problems on FPGAs. - Erling Rennemo Jellum; Milica Orlandic; Edmund Brekke; Tor Arne Johansen; Torleiv H. Bryne (ACM Trans. Archit. Code Optim., 2022)

Ocean Color Hyperspectral Remote Sensing With High Resolution and Low Latency - The HYPSO-1 CubeSat Mission. - Mariusz E. Grøtte; Roger Birkeland; Evelyn Honoré-Livermore; Sivert Bakken; Joseph L. Garrett; Elizabeth Frances Prentice; Fred Sigernes; Milica Orlandic; Jan Tommy Gravdahl; Tor Arne Johansen (IEEE Trans. Geosci. Remote. Sens., 2022)

FPGA-tidbits: Rapid Prototyping of FPGA Accelerators in Chisel. - Erling Rennemo Jellum; Yaman Umuruglu; Milica Orlandic; Martin Schoeberl (DSD, 2023)

Autoencoder-based Hyperspectral Anomaly Detection using Kernel Principal Component Pre-Processing. - Katinka Müller; Vinay Chakravarthi Gogineni; Milica Orlandic; Stefan Werner 001 (EUSIPCO, 2023)

Beyond the Threaded Programming Model on Real-Time Operating Systems. - Erling Rennemo Jellum; Shaokai Lin; Peter Donovan; Efsane Soyer; Fuzail Shakir; Torleiv H. Bryne; Milica Orlandic; Marten Lohstroh; Edward A. Lee (NG-RES@HiPEAC, 2023)

High-level FPGA Design of Deep Learning Hyperspectral Anomaly Detection. - Samuel Boyle; Aksel Gunderson; Milica Orlandic (NorCAS, 2023)

Onboard Hyperspectral Classification Enables Georeferencing. - Corrado Chiatante; Dennis D. Langer; Joseph L. Garrett; Roger Birkeland; Simen Berg; Milica Orlandic (WHISPERS, 2023)

An Improved Adaptive Weighted Deep Belief Network Autoencoder for Hyperspectral Images. - Aksel Gundersen; Samuel Boyle; Milica Orlandic (WHISPERS, 2023)

Exploration of Deep Learning for Cloud Segmentation in Multispectral and Hyperspectral Satellite Imagery. - Yunus Emre Koc; Cameron L. Penne; Joseph L. Garrett; Milica Orlandic (WHISPERS, 2023)

Independent Component Analysis: A Tool for Algal Bloom Detection. - Cameron Penne; Joseph L. Garrett; Tor Arne Johansen; Milica Orlandic; Ragna Heggebø (WHISPERS, 2023)

Hyperspectral Classification Onboard the Hypso-1 Cubesat. - Jonas G. Røysland; Dennis D. Langer; Simen Berg; Milica Orlandic; Joseph L. Garrett (WHISPERS, 2023)

HYPSO-1 CubeSat: First Images and In-Orbit Characterization. - Sivert Bakken; Marie Bøe Henriksen; Roger Birkeland; Dennis D. Langer; Adriënne E. Oudijk; Simen Berg; Yeshi Pursley; Joseph L. Garrett; Fredrik Gran-Jansen; Evelyn Honoré-Livermore; Mariusz E. Grøtte; Bjørn Andreas Kristiansen; et al. (Remote. Sens., 2023)

Robust and Reconfigurable On-Board Processing for a Hyperspectral Imaging Small Satellite. - Dennis D. Langer; Milica Orlandic; Sivert Bakken; Roger Birkeland; Joseph L. Garrett; Tor Arne Johansen; Asgeir J. Sørensen (Remote. Sens., 2023)

High-Level CCSDS 123.0-B-2 Hyperspectral Image Compressor Verification Model. - Daniel Vorhaug; Samuel Boyle; Milica Orlandic (WHISPERS, 2024)

Lightweight Autonomous Autoencoders for Timely Hyperspectral Anomaly Detection. - Vinay Chakravarthi Gogineni; Katinka Müller; Milica Orlandic; Stefan Werner 001 (IEEE Geosci. Remote. Sens. Lett., 2024)

Codesign of Reactor-Oriented Hardware and Software for Cyber-Physical Systems. - Erling Rennemo Jellum; Martin Schoeberl; Edward Ashford Lee; Milica Orlandic (ACM Trans. Reconfigurable Technol. Syst., 2024)

Onboard Accelerator of Hyperspectral Classification For HYPSO. - Samuel Boyle; Piotr Mikulowski; Milica Orlandic (MECO, 2025)

Quick Unsupervised Hyperspectral Dimensionality Reduction for Earth Observation: A Comparison. - Daniela Lupu; Joseph L. Garrett; Tor Arne Johansen; Milica Orlandic; Ion Necoara (IEEE Trans. Computational Imaging, 2025)