Liping Chang

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This paper considers the problem of designing the projection matrix <formula formulatype="inline"><tex Notation="TeX">$\Phi $</tex></formula> for a compressive sensing (CS) system in which the dictionary <formula formulatype="inline"> <tex Notation="TeX">$\Psi $</tex></formula> is assumed to be given. The optimal projection matrix design is formulated in(More)
The compressive sensing (CS) theory has shown that sparse signals can be reconstructed exactly from much fewer measurements than traditionally believed. What's more, using &#x2113;<sub>p</sub>-norm minimization with p &lt;; 1 can do so with much fewer measurements than with p=1. In this paper, a novel algorithm is proposed for computing local minima of the(More)
The adsorption of CO2 on a raw activated carbon A and three modified activated carbon samples B, C, and D at temperatures ranging from 303 to 333 K and the thermodynamics of adsorption have been investigated using a vacuum adsorption apparatus in order to obtain more information about the effect of CO2 on removal of organic sulfur-containing compounds in(More)
Compressive sensing (CS) is a promising focus in signal processing field, which offers a novel view of simultaneous compression and sampling. In this framework a sparse approximated signal is obtained with samples much less than that required by the Nyquist sampling theorem if the signal is sparse on one basis. Encouraged by its exciting potential(More)
In this paper, a new method is proposed to optimize the projection matrix, which, unlike the existing approaches, attempts to choose the projection matrix such that the sensing matrix is as close to a tight frame/equiangular tight frame as possible. In the proposed method, there are two important procedures that are used to adjust the Gram matrix of the(More)
This paper deals with alternating optimization of sensing matrix and sparsifying dictionary for compressed sensing systems. Under the same framework proposed by J. M. Duarte-Carvajalino and G. Sapiro, a novel algorithm for optimal sparsifying dictionary design is derived with an optimized sensing matrix embedded. A closed-form solution to the optimal(More)
This paper deals with dictionary learning and optimal sensing matrix design for compressed sensing (CS) systems. An improved version of the method of optimal directions (MOD) is proposed, which can overcome the problem with matrix inversion. The optimal sensing matrix design problem is defined as to find those sensing matrices that minimize a Frobenius(More)
OBJECTIVE To analyze the constituents of volatile oils extracted from Yuan Zhi (Radix Polygalae), Shi Chang Pu (Acorus Tatarinowii), and a mixture of the two herbs. METHODS The volatile oils were extracted using supercritical fluid extraction (SFE) with CO2, and the constituents of the volatile oil extracts were analyzed by gas chromatography-mass(More)
The dispersion-corrected density functional theory has been used to study the trivalent ions B, Al, Ga, and Fe incorporated SSZ-13-type zeolites. The associated structure and Brønsted/Lewis acidity change caused by the incorporation ions were comparatively studied. It was found that the smaller the radius differences of the incorporation ions are, the(More)