Oblique alignment of columns of self-organized Ge/Si(001) islands in multilayer structure

Ge/Si multilayer structures with a bimodal distribution of the island spacing in the first layer have been investigated by atomic-force microscopy and transmission electron microscopy. Besides the vertical alignment, some oblique alignments of stacked islands are observed. The presence of the elastic interaction between islands is responsible for the oblique alignment of stacked islands. (C) 2000 American Institute of Physics. [S0003-6951(00)04644-1].

Wavelet denoising and feature extraction of seismic signal for footstep detection

Seismic sensors are widely used to detect moving target in ground sensor networks. Footstep detection is very important for security surveillance and other applications. Because of non-stationary characteristic of seismic signal and complex environment conditions, footstep detection is a very challenging problem. A novel wavelet denoising method based on singular value decomposition is used to solve these problems. The signal-to-noise ratio (SNR) of raw footstep signal is greatly improved using this strategy. The feature extraction method is also discussed after denosing procedure. Comparing, with kurtosis statistic feature, the wavelet energy feature is more promising for seismic footstep detection, especially in a long distance surveillance.

Deterministic Column-Based Matrix Decomposition

In this paper, we propose a deterministic column-based matrix decomposition method. Conventional column-based matrix decomposition (CX) computes the columns by randomly sampling columns of the data matrix. Instead, the newly proposed method (termed as CX_D) selects columns in a deterministic manner, which well approximates singular value decomposition. The experimental results well demonstrate the power and the advantages of the proposed method upon three real-world data sets.