The following topics are dealt with: dSP for communications; adaptive filtering; multimedia over IP and wireless networks; VLSI arithmetic architectures; system level issues; digital-to-analog conversion; RF mixers; a...
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The following topics are dealt with: dSP for communications; adaptive filtering; multimedia over IP and wireless networks; VLSI arithmetic architectures; system level issues; digital-to-analog conversion; RF mixers; analog testability; interconnect modeling and optimization; blinddSP; multiple antenna systems; OFdM; cellular neural networks; stability and control; wireless communication architectures; transconductance and low-voltage amplifiers; multimedia communication andtransmission; bifurcation and chaos; FIR filters; analog-to-digital conversion; RF filters; filter theory and linear networks; communication theory; cellular neural networks; nonlinear circuit analysis; MEM devices; amplifiers, references and multipliers; hardware implementation for multimedia; image compression; multidimensional signal processing; filter banks; signal processing for communications; channel coding; pipelined AdC; circuit theory and applications; nanoelectronic integrated circuits; analog synthesis and optimization; multimedia understanding and segmentation; neural network hardware architecture; nonlinear systems modeling; sensors andprocessing circuits; audio and speech processing; active filters; numerical and combinatorial optimization; 3d graphics; image processing; smart sensors; cryptography; system-on-chip methodologies; oscillators and phase locking; operational amplifiers; multimedia watermarking; power estimation; motion estimation; chaotic circuits; wireline communication architectures; MEMS; signal processing algorithms; oversampleddata conversion; video signal processing; IIR digital filters; logarithmic and residue arithmetic; high speed VLSI circuits; self-correcting AdC; integrated inductors; fast-settling amplifiers; floor planning and placement; communication networks; adaptive signal processing; Nyquist data conversion; voltage controlled oscillators; phase locked loops; reference circuits; frequency response masking techniques; wireless architectures
To understand evolving pathology in the central nervous system (CNS) anddevelop effective treatments, it is essential to correlate the nerve fiber connectivity with the visualization of function. Such information is ...
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ISBN:
(纸本)078037584X
To understand evolving pathology in the central nervous system (CNS) anddevelop effective treatments, it is essential to correlate the nerve fiber connectivity with the visualization of function. Such information is fundamental in CNS processes since anatomical connections determine where information is passed and processeddiffusion tensor imaging (dTI) can provide the fundamental information required for viewing structural connectivity. However robust and accurate acquisition andprocessing algorithms are needed to accurately map the nerve connectivity. In this paper we present a novel, algorithm for automatic fiber tract mapping in the CNS specifically, a rat spinal cord as well as validate the mapped fibers using ex-vivo fluoro images of the excised rat. The novelty of our work lies in the fiber tract mapping as well as the validation experiment. The automatic fiber tract mapping problem will be solved in two phases, namely a data smoothing phase and a fiber tract mapping phase. In the former smoothing is achieved via a new weighted TV-norm minimization which strives to smooth while retaining all relevant detail. For the fiber tract mapping, a smooth 3d vector field indicating the dominant anisotropic direction at each spatial location is computed from the smootheddata. Fiber tracts are then determined as the smooth integral curves of this vector field in a variational framework Examples are presented for dTI data sets from a normal and injured rat spinal cords respectively.
In this paper the bistatic and monostatic phase-based ground-penetrating radar (GPR) technique for ingenious detection of poor-contrast scattering objects hidden just beneath the air-ground interface is discussed. Thi...
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In this paper the bistatic and monostatic phase-based ground-penetrating radar (GPR) technique for ingenious detection of poor-contrast scattering objects hidden just beneath the air-ground interface is discussed. This technique neither requires a priori knowledge about the background medium nor needs any pure background measurement. It was developed to deal with one of the worst-case scenarios in terms of landmine detection. The method was tested with the data measured from the L-band and S-band stepped-frequency continuous-wave GPR over the compound soil where small non-metallic mines are shallowly buried. The results demonstrate that it is feasible to detect small buried poor-contrast objects by using coherent phase processing and imaging.
With the Moderate Resolution Imaging Spectroradiometer (MOdIS) provisional version (V003) data releasing, there is a new challenge of producing anddistributing MOdIS data to end users. However, for many prospective u...
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With the Moderate Resolution Imaging Spectroradiometer (MOdIS) provisional version (V003) data releasing, there is a new challenge of producing anddistributing MOdIS data to end users. However, for many prospective users of the data, the large file sizes and complex format of MOdIS have poseddifficulties, including insufficient bandwidth for downloading the data, insufficient storage on the users' platforms, and incompatibility of the format with visualization packages, including most geographic information system (GIS) packages. In respond to these issues, the NASA Goddard Earth Science (GES) data and Information Service Center (dISC) has engaged in facilitating on new applications anddistributions for Earth science remote sensing data through the Remote Sensing Information Partners (RSIP) program. This paper discusses (1) designing the infrastructure for MOdIS data production anddistribution via the RSIP program; (2) constructing a system for customized RSIP MOdIS data product development anddistribution; (3) developing techniques and tools for MOdIS processing; and (4) future plans to enhance the accessibility of MOdIS applications through the RSIP program.
This paper pertains to further investigations on using an ultra wideband (UWB) multistatic coherent ground-penetrating radar (GPR) technique for precise profiling of the rough surfaces in three-dimensional space. The ...
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This paper pertains to further investigations on using an ultra wideband (UWB) multistatic coherent ground-penetrating radar (GPR) technique for precise profiling of the rough surfaces in three-dimensional space. The method is essentially based on the phase processing of the sliced layers of three-dimensional rough surfaces with multiple sub-frequency bands. The data acquired in the near range by a UWB stepped-frequency continuous-wave GPR with wide-beam antennas over a compound surface are used to verify the method. It was found that in the near-range measurements the range side-lobe interference effects and the reflections from the measurement surroundings sometimes have a significant influence on the target phase and amplitude responses, and consequently degrade the localization of the targets. The present study on this issue shows that within the ultra wideband, some sub-frequency bands are less sensitive to the measurement surroundings, but still sensitive to the target area. With the selected sub-frequency bands the image of the compound surface reconstructed in the surface height domain shows good agreement with the practical geometry of the rough surfaces.
We propose a protocol for efficient streaming of 3-d animations over lossy channels. In order to improve the expected quality on the client's side, we first transmit a crude model of the 3-d mesh, of its texture, ...
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We propose a protocol for efficient streaming of 3-d animations over lossy channels. In order to improve the expected quality on the client's side, we first transmit a crude model of the 3-d mesh, of its texture, and of its immediate evolution. We endow this data with significant error-protection against transmission error. Then we transmit a series of upgrades that refine the accuracy of the model and/or of the animation. These are encoded with lower levels of error protection that is proportional to their impact on the quality of the upgraded animation. We propose the following types of upgrade chunks: selection of a subset of vertices, adjustments of the accuracy of the positions of the selected vertices, connectivity refinements, motion adjustments of the selected subset of vertices, adjustments of the accuracy of the texture coordinates of the selected vertices, and upgrade of the quality of the texture. Finally, given the allocated bit-budget, we determine the optimal number of both source and channel coding bits assigned for each chunk to maximize the animation quality on the client's side. The optimization takes into account both the bandwidth and the error characteristics of the channel.
The transmission of the large store of information contained in 3d medical data sets through limited capacity channels is a critical procedure in many telemedicine applications. In this paper, techniques are presented...
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ISBN:
(纸本)0780367251
The transmission of the large store of information contained in 3d medical data sets through limited capacity channels is a critical procedure in many telemedicine applications. In this paper, techniques are presented for the compression of visualizations of 3d image data for efficient storage andtransmission. Methods are first presented for the transmission of the 3d surface of the objects using contour following methods. Alternatively, the visualization at the receiver may be based on a series of depth maps corresponding to some motion of the object, specified by the medical observer. depth maps may be transmitted by using depth map motion compensated prediction. Alternately, a wire-mesh model of the depth map may be formed and transmitted by encoding the motion of its nodes. All these methods are used for the transmission of the 3d image with visualization carried out at the receiver. Methods are also developed for efficient transmission of the images visualized at the encoder site. These methods allow remote interactive manipulation (rotation, translation, zoom) of the 3d objects, and may be implemented even if the receiver is a relatively simple and inexpensive workstation or a simple monitor. In all above cases, the coding of binocular views of the 3d scene is examined and recommendations are made for the implementation of coders of stereo views of 3d medical data.
Imaging has become an essential component in many fields of medical and laboratory research and clinical practice. Biologists study, cells and generate 3d confocal microscopy datasets, virologists generate 3d reconstr...
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ISBN:
(纸本)0769510043
Imaging has become an essential component in many fields of medical and laboratory research and clinical practice. Biologists study, cells and generate 3d confocal microscopy datasets, virologists generate 3d reconstructions of viruses from micrographs, radiologists identify and quantify tumors from MRI and CT scans, and neuroscientists detect regional metabolic brain activity from PET and functional MRI scans. Analysis of these diverse image types requires sophisticated computerized quantification and visualisation tools. Until recently, three-dimensional visualization of images and quantitative analysis could only be performed using expensive UNIX workstations and customized software. Today, much of the visualization and analysis can be performed on an inexpensive desktop computer equipped with the appropriate graphics hardware and software, This paper introduces all extensible platform-independent, general-purpose image processing andvisualization program specifically designed to meet the needs of a lnternet-linked medical research community. The application named MIPAV (Medical Image processing Analysis andvisualization) enables clinical and quantitative analysis of medical images over the Internet. Using MIPAV's standard user-interface and analysis tools, researchers and clinicians at remote sites can easily share research data and analyses, thereby enhancing their ability to study, diagnose, monitor, and treat medical disorders.
We present a geometric coding method for 3d real and virtual objects transmission andvisualization. We describe object surfaces with a set of superellipsoids which are structured with a constructive solid geometry (C...
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ISBN:
(纸本)0780367251
We present a geometric coding method for 3d real and virtual objects transmission andvisualization. We describe object surfaces with a set of superellipsoids which are structured with a constructive solid geometry (CSG) tree. An unstructured cloud of 3d points lying on the original object surface is considered as initial data. The tree is obtained using a split and merge algorithm. At each splitting step, the set of points is partitioned into two superellipsoids. The parameters of each ellipsoid is computed with a non-linear regression technique (Levenberg-Marquardt). This decomposition is stopped when the estimation error reaches a given threshold (the accepteddistortion). The objective of the merging algorithm is to reduce the number of superellipsoids used to describe the complex 3d object without increasing the global distortion. This algorithm allows to merge both connex and non-connex elements of the superellipsoids set obtained from the decomposition step. The whole scheme is applied on synthetic objects.
Nowadays the all digital solution in hospitals is becoming widespread. The formidable increase of medical data amount to be processed, transmitted and stored, requires some efficient compression systems and innovative...
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ISBN:
(纸本)0780367030
Nowadays the all digital solution in hospitals is becoming widespread. The formidable increase of medical data amount to be processed, transmitted and stored, requires some efficient compression systems and innovative tools to improve data access, while ensuring a sufficient visualization quality for diagnosis. Medical image sequences can benefit from advanced video coding techniques when adapted to their specific constraints. Scalability, or the capability to partly decode a video bitstream and to get a reconstruction quality proportional to the decoded amount of information, is a key functionality. We have developed a video codec based on a 3d Motion-Compensated subbanddecomposition, which provides a combination of temporal, spatial and SNR scalabilities together with a very competitive compression ratio. We show that, when applied to medical sequences, it outperforms JPEG-2000 on coding efficiency aspects and offers new functionalities.
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