Now showing items 31-36 of 36
A multiplicative Nakagami speckle reduction algorithm for ultrasound images
Speckle noise of ultrasound images is of multiplicative nature which degrades the image quality in terms of resolution and contrast. While there exist a number of algorithms for reduction of multiplicative Rayleigh distributed ...
Accurate signal recovery in quantized compressed sensing
Compressed sensing (CS) studies the recovery of a high dimensional signal from its low dimensional linear measurements under a sparsity prior. This paper is focused on the CS problem with quantized measurements. An algorithm ...
A novel maximum-likelihood method for blind multichannel identification
Deterministic blind identification algorithms of single-input and multi-output (SIMO) systems can effectively estimate channel functions and the common source signal at high signal-noise-ratio (SNR) and small available ...
Optimal sensor pairing for TDOA based source localization and tracking in sensor networks
Source localization based on time-difference-of-arrival (TDOA) measurements from spatially separated sensors is an important problem in sensor networks. While extensive research has been performed on algorithm development, ...
A blind deconvolution approach to ultrasound imaging
In this paper, a single-input multiple-output (SIMO) channel model is introduced for the deconvolution process of ultrasound imaging; the ultrasound pulse is the single system input and tissue reflectivity functions are ...
Distributed containment control of networked fractional-order systems with delay-dependent communications
This paper is concerned with a containment problem of networked fractional-order system with multiple leaders under a fixed directed interaction graph. Based on the neighbor rule, a distributed protocol is proposed in ...