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Fast Singular Spectrum Transformation Implementation

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SST

This is a fast Singular Spectrum Transformation (SST) implementation. SST can be used for anomaly detection over temporal sequence data.

Compiling and Running

# g++ -O2 sst.cpp -llapack -lblas
# ./a.out

NOTE: LAPACK and BLAS library is required for compiling.

How to use

Please, see sst_test() in sst.cpp and CpuSstWorkspace class in felixsst.h. FelixSstWorkspace implements a fast version SST. NaiveSstWorkspace implements a SVD-based SST.

Lisence

MIT License.

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