Four operations. Built for high-fidelity reconstruction.
NOEMA reduces raw signal data volume without requiring changes to existing recorders, archives, processors, or replay workflows.
Built for high-volume I/Q, radar, RF, and SAR datasets. Runs from defaults, with tuning available when fidelity, throughput, or archive constraints matter.
NOEMA compresses signal data according to the statistical profile of each dataset. Compression performance depends on format, entropy, quantization, and fidelity target.
Sidecar metadata records file structure, decode locations, reconstruction settings, and verification context so selected files or regions can be accessed later.
Reconstruct full files or selected signal regions for replay, analysis, validation, model-development workflows, or existing ground-processing pipelines. Reconstruction quality is measured with signal-level metrics.
Built for raw SAR archives and processing.
NOEMA helps SAR mission, archive, and processing teams reduce raw I/Q data volume, reconstruct selected signal blocks, and measure reconstruction fidelity against the source.
Compress Level-0 SAR I/Q into a smaller bitstream with indexed metadata. Evaluate storage and transfer savings alongside your existing ground workflow. Tested on NISAR L-band RRSD products.
Use the sidecar index to locate and reconstruct individual signal blocks without decoding the entire bitstream. Keep compressed SAR data accessible for later analysis and reprocessing.
Compare reconstructed I/Q with the source using SNR, normalized error, and correlation. Tune compression around your fidelity targets, then validate focused-image quality and downstream processing separately.
Selective reconstruction. Shared representation. Verified compression.
Region-based access
NOEMA sidecar metadata enables decoding of specific regions, time windows, or segments without full archive reconstruction, reducing unnecessary data movement during access.
Shared codebook
One codebook can serve a batch of files, reducing overhead and keeping reconstruction behavior consistent across the archive.
Auditability
Sidecar metadata records what was compressed, how it was reconstructed, and which fidelity metrics were measured for every file.
Runs beside existing systems
Designed to work with existing recorders, archives, processors, replay tools, and analysis workflows during evaluation.