The BCJR algorithm is an algorithm for maximum a posteriori decoding of error correcting codes defined on trellises (principally convolutional codes). The algorithm is named after its inventors: Bahl, Cocke, Jelinek and Raviv.[1] This algorithm is critical to modern iteratively-decoded error-correcting codes including turbo codes and low-density parity-check codes.

PCA_classifier_version1b\apply_model.m
........................\example_classifier_ms.m
........................\get_feature_vectors.c
........................\get_feature_vectors.m
........................\Literature\MICCAI_MS_Challenge_UTwente_Final.pdf
........................\TestData\patient3_FLAIR.png
........................\........\patient3_T1.png
........................\........\patient3_T2.png
........................\train_model.m
........................\TrainingData\patient1_FLAIR.png
........................\............\patient1_lesion.png
........................\............\patient1_T1.png
........................\............\patient1_T2.png
........................\............\patient2_FLAIR.png
........................\............\patient2_lesion.png
........................\............\patient2_T1.png
........................\............\patient2_T2.png
license.txt

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