One implicit assumption the speech enhancement algorithms is that the representation of speech in a transform domain or over a redundant dictionary is sparse, while that of noise is dense. Based on this assumption, clean speech can be recovered by finding the sparse representations. However, some kinds of noise are also found sparse in the above representation scenarios, which results in degrad...

Wavelet shrinkage methods, introduced by Donoho and John-, are a powerful way to carry out signal denoising, especially when the underlying signal has a sparse wavelet representation. Wavelet shrinkage based on the Bayesian approach involves specifying a prior distribution for the wavelet coeecients. In this chapter, we consider a Gaussian prior with nonzero means for wavelet coeecients, which ...

We present a new scheme for building static search trees, using multiway radix search. We apply this method to the problem of code generation for switch statements in imperative languages. For sparse case sets, the method has an advantage over existing methods, empirically requiring fewer than three branches for the average search. We give timing results that show that in practice our method ru...

Sparse superposition codes, or sparse regression codes, constitute a new class of codes which was first introduced for communication over the additive white Gaussian noise (AWGN) channel. It has been shown that such codes are capacity-achieving over the AWGN channel under optimal maximum-likelihood decoding as well as under various efficient iterative decoding schemes equipped with power alloca...

We address the problem of converting large-scale highdimensional image data into binary codes so that approximate nearest-neighbor search over them can be efficiently performed. Different from most of the existing unsupervised approaches for yielding binary codes, our method is based on a dimensionality-reduction criterion that its resulting mapping is designed to preserve the image relationshi...

Detection of the weak signature of degradation of the Reactor Coolant Pump (RCP) at early stage gives more time for maintenance reaction, safety decision-making and also provides economic benefits. An integrated and improved method to detect and identify abnormality using continuous wavelet transform based sparse code shrinkage de-noising algorithm is suggested in this work. For RCP roller bear...

where x ∈ R, A ∈ R, M ∈ R, and b ∈ R, and μ > 0 is the regularization parameter. It is based upon the active-set algorithm with a continuation strategy described in [1, 2]. FPC AS is a successor of FPC [3]. While FPC AS still performs shrinkage iterations and continuation as its predecessor, most of the code has been rewritten. Compared to FPC, which has good performance on large-scale problems...