Abstract When Donoho and Candes, Rosenberg and Tao separately introduced the concept
of compressive sampling (CS) to the scientific community, the entire basis of traditional …

This paper considers the problem of designing the projection matrix Φ for a compressive
sensing (CS) system in which the dictionary Ψ is assumed to be given. The optimal …

It is essential to extract impulse components embedded in heavy background noise in
engineering applications. The methods based on wavelet have obtained huge success in …

Compressive sensing involves 3 main processes: signal sparse representation, linear
encoding or measurement collection, and nonlinear decoding or sparse recovery. In the …

Abstract Blade Tip Timing (BTT) method is increasingly implemented for rotating blade
health monitoring for its non-contact property. However, the BTT data is usually highly …

With the advancement of multimedia technology and coming of big data era, the size of
image data is significantly increased. However, the traditional image encryption methods …

Seeking sparse solutions of underdetermined linear systems is required in many areas of
engineering and science such as signal and image processing. The efficient sparse …

Compressed ultrafast photography (CUP), a computational imaging technique, is
synchronized with short-pulsed laser illumination to enable dynamic three-dimensional (3D) …

Further applications of impulse radio ultra-wideband radar in mobile health are hindered by
the difficulty in extracting such vital signals as heartbeats from moving targets. Although the …

This paper deals with alternating optimization of sensing matrix and sparsifying dictionary for
compressed sensing systems. Under the same framework proposed by JM Duarte …