advanced read channels which sample the read signal and process those samples using algorithms borrowed from the communications industry allow us to reach higher storage densities and faster data rates than ever befor...
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advanced read channels which sample the read signal and process those samples using algorithms borrowed from the communications industry allow us to reach higher storage densities and faster data rates than ever before. In this paper we describe some of the design issues involved in using a PRML (partial-response, maximum-likelihood) channel in a disk drive employing thin-film heads, zoned-recording, and embedded servo sectors. We discuss the effect of high transition densities required far a PRML channel on the design of heads and media. Finally, we survey some additional: signalprocessing methods which might-lead to even higher performance in the future.
The aim of the paper is to estimate the contribution of the polarization diversity in high frequency (3 - 30 MHz) direction finding systems. We first describe the peculiarities of H.F. propagation and the resulting si...
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ISBN:
(纸本)0819416207
The aim of the paper is to estimate the contribution of the polarization diversity in high frequency (3 - 30 MHz) direction finding systems. We first describe the peculiarities of H.F. propagation and the resulting signal model involved in computer simulations. Next, we analyze the behavior of some particular direction finding systems using linear and circular geometries and polarization diversity. Some algorithms (non linear frequential analysis, M.U.S.I.C.) are tested in several conditions (narrowband or broadband signals, polarization filtering reiterated or no, sub-sampling). Theoretical and experimental results show that polarization diversity based upon the knowledge of the antenna complex responses improves greatly the efficiency of direction finding.
Perceptual grouping is a key step in vision to organize image data into structural hypotheses to be used for high level analysis. In this paper, we propose data allocation and load balancing strategies which reduce th...
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The signal Computing technical model is based upon a programmable DSP that can perform an infinite number of functions merely by downloading different 'software algorithms' to the DSP. The signal Computing bus...
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The signal Computing technical model is based upon a programmable DSP that can perform an infinite number of functions merely by downloading different 'software algorithms' to the DSP. The signal Computing business model is based upon a food chain of product and service providers whose collective add-value combines to bring the lowest-cost, most technologically advanced products to market in the shortest time frame.
advancedalgorithms for synthetic aperture radar (SAR) imaging have in the past required computing capabilities only available from high performance special purpose hardware. Such architectures have tended to have sho...
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ISBN:
(纸本)0819415340
advancedalgorithms for synthetic aperture radar (SAR) imaging have in the past required computing capabilities only available from high performance special purpose hardware. Such architectures have tended to have short life cycles with respect to development expense. Current generation Massively Parallel Processors (MPP) are offering high performance capabilities necessary for such applications with both a scalable architecture and a longer projected life cycle. In this paper we explore issues associated with implementation of a SAR imaging algorithm on a mesh configured MPP architecture.
Research in the field of VLSI digital signalprocessing (DSP) involves study of algorithms and architectures for VLSI implementation of signal and image processingalgorithms, theory of architectures and design method...
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The paper describes a parallel architecture for universal digital signalprocessing. This architecture uses not only multiply-accumulate, but also nonlinear operations, such as reciprocal, square-root, exponential, si...
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ISBN:
(纸本)0818650508
The paper describes a parallel architecture for universal digital signalprocessing. This architecture uses not only multiply-accumulate, but also nonlinear operations, such as reciprocal, square-root, exponential, sine/cosine, etc. Several advancedalgorithms can thus be mapped to this array architecture. Specifically, the paper focuses attention on two very diverse algorithms, namely the fast Fourier transform and the matrix L-U decomposition. Only two types of cells are used in the architecture;these are the Universal Multiply-Subtract-Add cell (UMSA) and the Universal Nonlinear cell (UNL). Both MA and nonlinear operations are performed in hardware, so that the operation times are on the order of chip-clock cycle times. The use of only two types of cells makes the architecture highly suitable for wafer scale integration. It is interesting to note that the same resources on the wafer are used for configuring it to either the FFT algorithm or the L-U decomposition algorithm.
In this paper the application of nonlinear input-output linearization techniques to the control of induction motors is presented. Practical issues concerning discrete time implementation, rotor flux observation and st...
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In this paper the application of nonlinear input-output linearization techniques to the control of induction motors is presented. Practical issues concerning discrete time implementation, rotor flux observation and stator current limitation are presented. The use of a high speed digital signal processor (DSP) is particularly appropriate, facilitating a small sampling period and advanced control algorithms. Our control scheme is implemented on an industrial induction motor variable speed drive. Practical results are given showing the feasibility of the approach.
This paper presents an algorithm for image reconstruction of ground-penetrating synthetic aperture radar that can be implemented in real time. The algorithm permits underground focusing. The algorithm was successfully...
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ISBN:
(纸本)0819415219
This paper presents an algorithm for image reconstruction of ground-penetrating synthetic aperture radar that can be implemented in real time. The algorithm permits underground focusing. The algorithm was successfully demonstrated at scale using a Ka-band radar in the laboratory that has 1 cm range resolution. The equipment utilized objects on the surface and at depths of 7.5 and 15 cm. With the imaging set for focus at the surface, the buried objects were not detected. The buried objects were detected and resolved to the theoretical limits with the focus appropriately set, with the surface object detected but blurred. Thus, the algorithm provides better detection and resolution of underground objects than algorithms sans underground focus, and also permits an estimate of the depth.
We introduce a new highly-integrated processing chip for performing a variety of functions, however this chip is particularly well suited for video compression algorithms. Applications include multimedia PCs, virtual ...
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ISBN:
(纸本)0818656379
We introduce a new highly-integrated processing chip for performing a variety of functions, however this chip is particularly well suited for video compression algorithms. Applications include multimedia PCs, virtual reality 3D graphics, full-duplex videoconferencing, HDTV, and color hardcopy. We have architected the Multimedia Video Processor, or MVP, to provide a yet unattainable level of performance from a single chip, although with the programmability typically found in today's general-purpose computers. While advanced semiconductor design and process techniques have been used for its design, the key to the advantage of this component lies in optimization of the architecture for real-time video and graphics processing. This paper will analyze video compression application requirements, describe the MVP architecture, and pose its potential as a very capable solution for a wide range of markets.
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