In this paper a speech denoising strategy based on time adaptive thresholding of intrinsic modes functions (IMFs) of the signal, extracted by empirical mode decomposition (EMD), is introduced. The denoised signal is reconstructed by the superposition of its adaptive thresholded IMFs. Adaptive thresholds are estimated using the Teager-Kaiser energy operator (TKEO) of signal IMFs. More precisely,...

Learning Compact High-Dimensional Models in Noisy Environments Building compact, interpretable statistical models where the output depends upon a small number of input features is well-known problem modern analytics applications. A fundamental tool used this context prominent best subset selection (BSS) procedure, which seeks to obtain linear fit data subject constraint on nonzero features. Whe...

BACKGROUND AND PURPOSE Diagnosis of Moyamoya disease (MMD) is based on the characteristic angiographic findings. However, differentiating MMD from intracranial atherosclerotic disease (ICAD) is difficult. We compared vessel wall imaging findings on high-resolution magnetic resonance imaging between MMD and ICAD. METHODS High-resolution magnetic resonance imaging was performed on 32 patients w...

The throughput enhancement of Space-Time Spreading (STS)-based Multicarrier Direct Sequence Code Division Multiple Access (MC DS-CDMA) system is investigated in this paper. Variable Spreading Factor (VSF) is utilized to improve the data throughput of the system. In this contribution, an analytical approach is proposed to compute a new expression for the Bit Error Rate (BER) performance of t...

Super-resolution (SR) image reconstruction is a technique to generate a high resolution (HR) image from several low resolution (LR) images of the same scene, which can improve the visual effect of images or serve as a pre-processing technique. Among various SR image reconstruction schemes, sparse representation based SR image reconstruction schemes have become the current research focus because...

This paper describes a new scheme for building static search trees, using multiway radix search trees. We present this method for code generation of switch statements in imperative languages. We show that, for sparse case sets, the method produces faster code on average than existing methods, requiring O(1) time with a small constant for the average search. We then apply this method to the prob...

Computing the eigenvalues and eigenvectors of a large sparse nonsymmetric matrix arises in many applications and can be a very computationally challenging problem. In this paper we propose the Augmented Block Householder Arnoldi (ABHA) method that combines the advantages of a block routine with an augmented Krylov routine. A public domain MATLAB code ahbeigs has been developed and numerical exp...

In this paper, we describe a novel approach to construct compact colored 3D environment models representing local surface attributes via sparse coding. Our method decomposes a set of colored point clouds into local surface patches and encodes them based on an overcomplete dictionary. Instead of storing the entire point cloud, we store a dictionary, surface patch positions, and a sparse code des...