As mobile displays proliferate across the world, and fixed video displays expand in size, consumers demand enhanced visual experiences while watching such displays. Competitive low-end to high-end markets are migratin...
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ISBN:
(纸本)0769527469;9780769527468
As mobile displays proliferate across the world, and fixed video displays expand in size, consumers demand enhanced visual experiences while watching such displays. Competitive low-end to high-end markets are migrating to high-definition (HD) output displays driven by consumer demand. In order to generate high quality visual experiences on HD displays, video processingalgorithms are becoming increasingly complex. Such complex HD algorithms require up to tera-operations per second to generate acceptable HD video output. Silicon Hive's HiveFlex Video VSP1 processor services the needs all low to high end video displays by using a unique scaleable tiled architecture. The architecture of each tile is flexible, low-cost and low-power, resulting in an attractive IP solution targeting consumer video signalprocessing (VSP) systems on chips (SoCs). The Video VSPI tile presented here performs a variety of video coding algorithms commonly used in post processing of HDTV signals such as H.264 decoding, de-interlacing, picture-rate up-conversion and others. H.264 or MPEG4-AVC is an advanced video coding standard targeting multiple markets such as broadcast and hand-held entertainment. In partnership with Silicon Hive, AllGo Embedded Systems has developed an H.264 decoder that is optimized for the HiveFlex VSP architecture. Multiple VSP tiles with configurable number of issue slots and SIMD architecture are used efficiently to implement H.264 video decoding at HD resolution
Disdrometers are considered exotic instruments and provide valuable information. As such, their price tag is also high. Impact disdrometers are instruments that produce an electrical impulse output related to the mass...
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Disdrometers are considered exotic instruments and provide valuable information. As such, their price tag is also high. Impact disdrometers are instruments that produce an electrical impulse output related to the mass of a rain drop colliding at terminal velocity with a sensor. The produced electrical impulse signal amplitude and energy are related to the drop diameters. This relation is in general nonlinear and depends heavily on the type of transducer used mechanical structure imperfections and electrical tolerances dictate the need for the individual calibration of each instrument in an attempt to create calibration curves that convert impulse amplitudes to equivalent drop diameters. Conventional calibration techniques using drop towers have been a tedious process to say the least. A proposed alternative calibration technique utilizing an adaptive signalprocessing algorithm eliminates the need of a single drop calibration. An accumulation rain gauge provides a reference signal to the disdrometer that is used for adaptive training and optimization of a model based calibration function. In this paper we describe a prototype low-cost disdrometer implementation at the University of Central Florida. A prototype impact sensor was built using an array of piezoelectric elements encapsulated in water resistant material. For the data acquisition and processing we use the soundboard of a general purpose computer. The signal processing algorithms and Matlab implementation will be described. Data have been collected and processed and results will be presented. Future plans on developing a low cost disdrometer will also be discussed. The availability of affordable disdrometers will benefit NASA's upcoming GPM program, as well as many other meteorological agencies.
Independent, greedy collection of data events using simple heuristics results in massive over-sampling of the prominent data features in large-scale studies over what should be achievable through ¿intelligent&quo...
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Independent, greedy collection of data events using simple heuristics results in massive over-sampling of the prominent data features in large-scale studies over what should be achievable through ¿intelligent", online acquisition of such data. As a result, data generated are more aptly described as a collection of a large number of small experiments rather than a true large-scale experiment. Nevertheless, achieving ¿intelligent¿, online control requires tight interplay between state-of-the-art, data-intensive computing infrastructure developments and analytical algorithms. In this paper, we propose a Software Architecture for Mass spectrometry-based Proteomics coupled with Liquid chromatography Experiments (SAMPLE) to develop an ¿intelligent¿ online control and analysis system to significantly enhance the information content from each sensor (in this case, a mass spectrometer). Using online analysis of data events as they are collected and decision theory to optimize the collection of events during an experiment, we aim to maximize the information content generated during an experiment by the use of pre-existing knowledge to optimize the dynamic collection of events.
This paper presents a new complex number representation called the Redundant Complex Number System (RCNS) as a useful basis for designing VLSI signal processors with complex arithmetic capability. RCNS described in th...
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This paper presents a new complex number representation called the Redundant Complex Number System (RCNS) as a useful basis for designing VLSI signal processors with complex arithmetic capability. RCNS described in this paper is defined as a positional number system that has a complex radix 2j and a digit set {-3,...,0,...,3} or {-2,...,0,...,2}. The use of complex radix 2j with the redundant digit set makes possible to construct high-speed complex number arithmetic circuits with highly regular structures. This paper discusses the elementary arithmetic algorithms of RCNS and their implementations.
This work presents a Tone Mapping Operator (TMO) which adjusts the High Dynamic Range (HDR) of image sensor data to the limited dynamic range of conventional displays with analog signalprocessing. It is based on Phot...
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ISBN:
(纸本)9781509004942
This work presents a Tone Mapping Operator (TMO) which adjusts the High Dynamic Range (HDR) of image sensor data to the limited dynamic range of conventional displays with analog signalprocessing. It is based on Photographic Tone Reproduction (PTR) and suitable for analog circuit design in a CMOS image sensor in order to reduce the hardware cost and operation time for real-time image processing. For this reason, the characteristic advantage and calculation limitation of analog technology are considered in the TMO algorithm proposal. Furthermore, the appropriate modelling is built and simulated in Verilog-A. The function of the algorithm is feasible for analog processing. The frequency of the analog TMO is upper 52MHz while it consumes 55mW. The simulation results of test images are compared with the digital global TMO and the proposed analog TMO provides a reasonable similar dynamic range compression.
Whereas lecturing is the most widely used mode of instruction, we have explored small-group learning projects to make signalprocessing more appealing at the University and in Engineering schools in Bordeaux (France)....
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Whereas lecturing is the most widely used mode of instruction, we have explored small-group learning projects to make signalprocessing more appealing at the University and in Engineering schools in Bordeaux (France). The projects cover a wide range of applications, from audio processing to mobile communication system analysis and can be based on problems suggested by industrial partners. After a state of the art in the area, the students develop signal processing algorithms and usually deliver new softwares. At the end of the semester, they provide a final 8-page report and present their work during a one-day workshop. The projects enable the students to experience cooperative works, which is mostly done in industry. In addition, they help the students to see more easily the links between the courses they follow, including project managing. The students are hence involved in dialog inside their own group, in writing English reports as well as in problem solving, analysis and synthesis. This paper presents four examples dealing with speech processing, spectral analysis, Universal Mobile Telecommunications System (UMTS) mobile positioning and orthogonal frequency division multiple access (OFDMA) synchronization.
In this paper a hearing aid concept working in subbands is presented. Consideration is given to the compensator for recruitment of loudness and the acoustic feedback cancellation. In addition, a step-size control for ...
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In this paper a hearing aid concept working in subbands is presented. Consideration is given to the compensator for recruitment of loudness and the acoustic feedback cancellation. In addition, a step-size control for fast tracking and a constant error level with nonstationary input signals is presented. The feedback canceler is adapted to the feedback path in the transform domain using a power-normalized least mean square (LMS) algorithm. The transformation into subbands is based on the modulated lapped transform (MLT). Together with the feedback canceler the proposed hearing-loss compensating forward filter is computationally very efficient.
In the realm of telemedicine within 5G networks, real-time monitoring and analysis of EEG signals are increasingly vital. Efficient decoding techniques play a crucial role in ensuring accurate data transmission and ti...
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ISBN:
(数字)9798350354461
ISBN:
(纸本)9798350354522
In the realm of telemedicine within 5G networks, real-time monitoring and analysis of EEG signals are increasingly vital. Efficient decoding techniques play a crucial role in ensuring accurate data transmission and timely diagnosis. This paper conducts a thorough comparative study of turbo decoding techniques applied in EEG signalprocessing for telemedicine applications within 5G networks. Various turbo-decoding algorithms are evaluated based on decoding accuracy, computational complexity, and latency. Factors such as channel conditions, SNR, and packet loss rates are considered to assess the suitability of these techniques for handling EEG signals over 5G networks. Extensive simulations and analysis are conducted to provide insights into the trade-offs between different turbo decoding techniques and their impact on EEG signal reconstruction quality. The study yields significant insights into the performance of various turbo decoding techniques in the context of EEG signalprocessing for telemedicine over 5G networks. By analyzing these factors, the research aims to optimize telemedicine systems utilizing 5G technology, ultimately enhancing the reliability and efficiency of EEG signalprocessing for medical diagnosis and monitoring applications. The findings suggest potential strategies for reducing Bit Error Rate (BER) and improving overall signal performance for different code rates and turbo decoding techniques, thus benefiting patient care in telemedicine contexts.
Digital transmission over dispersive channels which suffer from intersymbol interference and multiuser interference is reviewed. In particular, the digital signalprocessing required at the receiver for performing com...
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Digital transmission over dispersive channels which suffer from intersymbol interference and multiuser interference is reviewed. In particular, the digital signalprocessing required at the receiver for performing combined spatial/temporal decision-feedback equalization is studied and the aims of processing the received signal are discussed. The calculation of the optimum filters by solving a factorization problem and an practical algorithm for its solution are reviewed. Finally, the optimality of DFE with respect to channel capacity is shown.
In this paper the architectural models of pipelined computing units with system-level description, those essentially decrease the design cycle for digital signalprocessing products, are offered. Practical realization...
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In this paper the architectural models of pipelined computing units with system-level description, those essentially decrease the design cycle for digital signalprocessing products, are offered. Practical realization of the filter, that confirms developed design flow effectiveness with software products Simulink (Mathlab) and Active HDL, Aldec Inc., is given.
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