Functional magnetic resonance imaging (fMRI) investigations are increasingly important for the in vivo study and modeling of integrative brain functions in health and disease, where sophisticated mathematical and stat...
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Functional magnetic resonance imaging (fMRI) investigations are increasingly important for the in vivo study and modeling of integrative brain functions in health and disease, where sophisticated mathematical and statistical algorithms for fMRI signalprocessing and interpretation have come into play. Apart from neuroanatomical, neurophysiological, and neuropsychological competence, the progress in cognitive neuroscience and brain mapping is critically dependent on expertise from other disciplines - such as statistics, computer science, and electrical and electronic engineering dealing with signalprocessing, circuits and systems. During the last years, there has also been a trend towards funding of "open science" consortia, providing huge and well-curated image data repositories together with advanced software tools and processing pipelines to be used and further developed by the research community.
A new approach for parallelism analysis and extraction of digital signal processing algorithms is introduced. The high level description of the input is given in CIRCAL. A dependency graph of the problem is constructe...
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A new approach for parallelism analysis and extraction of digital signal processing algorithms is introduced. The high level description of the input is given in CIRCAL. A dependency graph of the problem is constructed to check existence of cycles. Loops in the dependency graph are parallelized. The approach is illustrated by an example.< >
Despite steady progress in the miniaturization of pulse oximeters over the years, significant challenges remain since advanced signalprocessing must be implemented efficiently in real-time by a relatively small size ...
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Despite steady progress in the miniaturization of pulse oximeters over the years, significant challenges remain since advanced signalprocessing must be implemented efficiently in real-time by a relatively small size wearable device. The goal of this study was to investigate several potential digital signal processing algorithms for computing arterial oxygen saturation (SpO 2 ) and heart rate (HR) in a battery-operated wearable reflectance pulse oximeter that is being developed in our laboratory for use by medics and first responders in the field. We found that a differential measurement approach, combined with a low-pass filter (LPF), yielded the most suitable signalprocessing technique for estimating SpO 2 , while a signal derivative approach produced the most accurate HR measurements
The paper presents new systems of orthogonal basic functions for fast signal processing algorithms, which can be used in different types of radars. The functional systems suggested allow us to use fast Fourier transfo...
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The paper presents new systems of orthogonal basic functions for fast signal processing algorithms, which can be used in different types of radars. The functional systems suggested allow us to use fast Fourier transform for calculating the convolution and the correlation function. The results were tested with the help of Monte-Carlo simulation as well as the physical radar model
This paper describes the features of a multimicroprocessor architecture for digital signalprocessing. The use of a multiport optical memory as a design component, along with the synchronous operation of the processor...
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This paper describes the features of a multimicroprocessor architecture for digital signalprocessing. The use of a multiport optical memory as a design component, along with the synchronous operation of the processors, allows particularly efficient implementation for one and two dimensional finite impulse response and infinite impulse response filters. This paper also describes an approach to the automatic generation of efficient code for the multi-microprocessor architecture being implemented for a class of linear DSP algorithms.
This article describes methods to reduce the computational complexity of signal processing algorithms in passive radar systems using signals of opportunity. Review of existing algorithms is produced. signalprocessing...
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This article describes methods to reduce the computational complexity of signal processing algorithms in passive radar systems using signals of opportunity. Review of existing algorithms is produced. signal processing algorithms for passive radar systems, which reduces the computational cost are developed. Noise influence to the proposed algorithm is investigated.
Motivated by recent advances made in VLSI and VLSI-based systems, we describe the functional programming(FP) style as proposed by Backus [1]. Comparative studies are made by coding simple algorithms in a conventional ...
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Motivated by recent advances made in VLSI and VLSI-based systems, we describe the functional programming(FP) style as proposed by Backus [1]. Comparative studies are made by coding simple algorithms in a conventional language and in FP. We find that the methodologies involved in the two approaches are different; conventional languages require thinking at an object level while FP styles favour a more hierarchical formalization. The paper also discusses some limitations of FP styles that will have to be remedied.
Field Programmable Gate Array (FPGA) architectures have emerged as an alternative means of implementing complex logic circuits providing rapid manufacturing turnaround time and low prototyping costs. This paper presen...
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Field Programmable Gate Array (FPGA) architectures have emerged as an alternative means of implementing complex logic circuits providing rapid manufacturing turnaround time and low prototyping costs. This paper presents a new FPGA architecture suitable for the application specific signal processing algorithms and Wafer-Scale integration (WSI) Technology. The architecture must be designed for versatility, flexibility, high speed, improved logic density, and defect tolerance. The proposed FPGA architecture consists of 2 dimensional array of programmable logic elements based on look-up table, interconnection resources, and input/output (I/O) blocks. The architectural style is similar to the one used in XILINX FPGA architecture. A key variation from the commonly used FPGA is the dual switching scheme employed in the proposed architecture. The design methodology, the design tools, and results obtained by using a Segmented Channel Routing algorithm to map on it a 16 bit parallel multiplier, are presented.
Difficulties concerning the detection of TBMs result from their radial speed, which is higher than a fighter's, and radar cross section (RCS) value, which is lower than a fighter's, so that fluctuations are ve...
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Difficulties concerning the detection of TBMs result from their radial speed, which is higher than a fighter's, and radar cross section (RCS) value, which is lower than a fighter's, so that fluctuations are very complicated. signal processing algorithms relating radar echoes from TBMs in radar with stacked receiving beams are described. Moreover, a simulation model of such echoes is considered. On the basis of these models, introductory research results are presented (see Brenner, T. et al., ibid., p.773-7).
This paper presents a complete methodology for the automatic synthesis of VLSI architectures used in digital signalprocessing. Most signal processing algorithms have the form of an n-dimensional nested loop with unit...
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This paper presents a complete methodology for the automatic synthesis of VLSI architectures used in digital signalprocessing. Most signal processing algorithms have the form of an n-dimensional nested loop with unit uniform loop carried dependencies. We model such algorithms with generalized UET grids. We calculate the optimal makespan for the generalized UET grids and then we establish the minimum number of systolic cells required for achieving the optimal makespan. We present a complete methodology for the hardware synthesis of the resulting architecture, based on VHDL. This methodology automatically detects all necessary computation and communication elements and produces optimal layouts. The complexity of our proposed scheduling policy is completely independent of the size of the nested loop and depends only on its dimension, thus being the most efficient (in terms of complexity) known to us. All these methods were implemented and incorporated in an integrated software package which provides the designer with a powerful parallel design environment, from high level signalprocessing algorithmic specifications to low-level (i.e., actual layouts) optimal implementation. The evaluation was performed using well-known algorithms from signalprocessing.
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