Wearable sensors are widely used for data collection in many applications. Ssensor nodes have also been applied for real-time applications, e.g. for ECG analysis or activity and fall detection. processing of the senso...
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ISBN:
(纸本)9781479903306;9781479903313
Wearable sensors are widely used for data collection in many applications. Ssensor nodes have also been applied for real-time applications, e.g. for ECG analysis or activity and fall detection. processing of the sensor data is either done on an external device or on the node itself. While on-node processing reduces data rate and increases battery life, development and testing can be time-consuming. To allow faster implementation of such algorithms, we propose a simulation framework for the Shimmer platform using the Cooja simulator, MSPSim and the Contiki operating system. We provide the simulator and example applications compatible with the ShimmerConnect protocol, allowing streaming of raw and pre-processed sensor data to MATLAB, LabView and Android. Additionally, a simple activity and fall detection algorithm was implemented on the sensor node and evaluated using both the simulator and real hardware. In the future this will allow rapid development and testing of on-node pre-processingalgorithms.
This paper presents a novel power efficient software implementation of the NTSC analog TV receiver using the Sandbridge Technologies software defined radio (SDR) platform. The radio frequency signal specific to a TV c...
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This paper presents a novel power efficient software implementation of the NTSC analog TV receiver using the Sandbridge Technologies software defined radio (SDR) platform. The radio frequency signal specific to a TV channel is down converted to base band and sampled at 14.318 MHz. From this stage, the entire receiver function is executed in SW, including the horizontal and vertical synchronization, and video processing. The analog TV receiver implemented in DSP can coexist with other communication protocols such as WLAN, GSM/GPRS, GPS etc. allowing analog TV broadcasting on mobile platforms
Long-wave infrared (LWIR) hyperspectral imaging sensors are widely used for the detection and identification of released chemical agents in many civilian and military applications. Current hyperspectral system capabil...
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Long-wave infrared (LWIR) hyperspectral imaging sensors are widely used for the detection and identification of released chemical agents in many civilian and military applications. Current hyperspectral system capabilities are limited by variation in the background clutter as opposed to the physics of photon detection. Hence, the development of statistical models for background clutter and optimum signal processing algorithms that exploit these models are essential for the design of practical systems that satisfy user's requirements. This paper describes a signalprocessing system for the detection and identification of released chemical agents developed at MIT Lincoln Laboratory. We discuss the underlying signal models, key detection and identification algorithms, and some areas where the signalprocessing community could contribute.
The combination of frequency modulated continuous wave (FMCW) technology and synthetic aperture radar (SAR) leads to lightweight, cost-effective imaging sensors of high resolution. In FMCW SAR applications the convent...
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The combination of frequency modulated continuous wave (FMCW) technology and synthetic aperture radar (SAR) leads to lightweight, cost-effective imaging sensors of high resolution. In FMCW SAR applications the conventional stop-and-go approximation used in pulse radar algorithms cannot be considered valid anymore, so the motion within the sweep needs to be taken into account. Analytical development of an FMCW SAR algorithm starting from the deramped signal and without using the stop-and-go approximation is presented in this paper; it is then validated processing simulated and real data. Furthermore, the effects of a moving target as they appear in an FMCW SAR image are described and the results can be used to assist moving target indicator (MTI) capabilities.
Programmable DSP algorithms are being implemented in a variety of applications. The FPGAs have become one of leading platforms for implementation of digital signalprocessing. However, there is still not defined strai...
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Programmable DSP algorithms are being implemented in a variety of applications. The FPGAs have become one of leading platforms for implementation of digital signalprocessing. However, there is still not defined straight forward path for DSP design process on FPGAs. In this paper the techniques for digital signal processing algorithms implementation with FPGAs are presented. Beside the traditional technique we present the IP instantiation technique from MATLAB and Simulink and the most promising C/C++ extensions, including the behavioural synthesis. Our intention is to give an overview of possible methodologies for DSP processing on FPGAs.
This paper presents the concept and implementation of a novel algorithm for homing and docking of underwater unmanned vehicle (UUV). This new technique has been implemented and experimented with sea-test data, and dem...
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This paper presents the concept and implementation of a novel algorithm for homing and docking of underwater unmanned vehicle (UUV). This new technique has been implemented and experimented with sea-test data, and demonstrated angular polarity estimation accuracy as high as 92%
Future wireless communication systems will involve significant adaptive signalprocessing capabilities to enhance the performance of high-rate transmission through limited bandwidth, dynamic multiple-access channels. ...
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Future wireless communication systems will involve significant adaptive signalprocessing capabilities to enhance the performance of high-rate transmission through limited bandwidth, dynamic multiple-access channels. Structured interference is a dominant, performance-limiting characteristic of such channels, and this paper provides a brief overview of basic adaptive signal processing algorithms that are useful for combatting this problem. This overview focuses primarily on adaptive linear methods for the suppression of multiple-access interference, although the mitigation of such impairments as dispersion and impulsive noise, and the exploitation of receiver diversity arising either from natural multipath or from the use of multiple antennas, are also discussed briefly. The discussion considers algorithms based on traditional techniques such as recursive-least-squares, as well as those based on more recently developed methods involving subspace tracking.
In this paper, performance analysis in terms of beamforming, null steering and rate of convergence is implemented on blind and non-blind adaptive algorithms for smart antenna system. In non-blind category, Least Mean ...
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ISBN:
(纸本)9789082598759
In this paper, performance analysis in terms of beamforming, null steering and rate of convergence is implemented on blind and non-blind adaptive algorithms for smart antenna system. In non-blind category, Least Mean Square (LMS) and its variant, the Normalized Least Mean Square (NLMS) algorithms are discussed and analysed while in blind category, Constant Modulus Algorithm (CMA) based on Steepest Descent method and Least Square (LS-CMA) method are discussed and analysed.
New upper bounds on the norm of the error between a parameter vector obtained by an adaptive signalprocessing algorithm and the desired parameter vector are presented. The family of algorithms treated includes the Wi...
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New upper bounds on the norm of the error between a parameter vector obtained by an adaptive signalprocessing algorithm and the desired parameter vector are presented. The family of algorithms treated includes the Widrow-Hoff LMS algorithm. The results are applicable to heavily correlated training data satisfying very mild covariance decay-rate conditions. The main result is a new proof for the almost sure exponential convergence of matrix products which arise in the analysis of adaptive signal processing algorithms. This result includes an estimate for the convergence rate of such products.
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