Browsing Computer Science by Author "Recoskie, Daniel"

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Constrained Nonnegative Matrix Factorization with Applications to Music Transcription

Recoskie, Daniel (University of Waterloo, 2014-08-15)

In this work we explore using nonnegative matrix factorization (NMF) for music transcription, as well as several other applications. NMF is an unsupervised learning method capable of finding a parts-based additive model ...
Learning Filters for the 2D Wavelet Transform

Recoskie, Daniel; Mann, Richard (IEEE, 2018)

We propose a new method for learning filters for the 2D discrete wavelet transform. We extend our previous work on the 1D wavelet transform in order to process images. We show that the 2D wavelet transform can be represented ...
Learning Sparse Orthogonal Wavelet Filters

Recoskie, Daniel (University of Waterloo, 2018-10-12)

The wavelet transform is a well studied and understood analysis technique used in signal processing. In wavelet analysis, signals are represented by a sum of self-similar wavelet and scaling functions. Typically, the wavelet ...