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BILINEAR FORM APPROACH TO SYNTHESIS OF A CLASS OF ELECTRIC-CIRCUIT DIGITAL signal-processing algorithms

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS 1988年第9期35卷 1197-1200页

作者： PERUNICIC, B KEZUNOVIC, M KRESO, S ENERGOINVEST CO IRCAYU-71000 SARAJEVOYUGOSLAVIA TEXAS A&M UNIV DEPT ELECT ENGNCOLLEGE STNTX 77843

A number of different digital signal-processing algorithms for electric power system data acquisition, control and protection were previously introduced. Each of the algorithms was defined based on the specific application, utilizing either some heuristic approaches or known systems identification and parameter-estimation techniques. A generalized methodology for algorithm synthesis which may be used in a number of different applications is proposed, based on the bilinear form approach.< >

关键词： Circuit synthesis signal synthesis Digital signal processing Resonator filters Poles and zeros Transfer functions Frequency signal processing algorithms Delay Feedback loop

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A METHOD FOR NONASYMPTOTIC PERFORMANCE ANALYSES OF ARRAY signal-processing algorithms

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL signal processing 1994年第11期41卷 772-774页

作者： SILVERSTEIN, SD GE Corporate Research and Development Center Schenectady NY USA

This work features a stochastic perturbation theoretic approach that can be used to calculate the performance analyses of array signal processing algorithms for the nonasymptotically large, moderate data regimes that are appropriate for many practical system applications. As an example, the perturbation method is used to develop the expressions for the moments of the MUSIC null spectrum at moderate SNR for independent data snapshot numbers as low as approximately 5. Theoretical predictions are shown to be in good agreement with empirical statistical simulation results.

关键词： signal analysis Performance analysis Algorithm design and analysis signal processing algorithms Vectors Quantum mechanics Sensor arrays Multiple signal classification Frequency Stochastic systems

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CERTIFICATION OF signal-processing algorithms FOR ANALYTICAL INSTRUMENTS

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MEASUREMENT TECHNIQUES USSR 1990年第7期33卷 649-652页

作者： RUSINOV, LA MONOSOV, DM KURKINA, VV CHISTYAKOV, NA SOBOLEVA, IY

Universal spectral analyzers of physicochemical composition and properties of materials (chromatographs, mass- and optical spectrometers, etc.) typically require complex processing of detector signals in order to obtain the results. The processing in most cases is performed by a digital computer system. The analytical data processing algorithms with required characteristics are assembled from algorithmic modules, which must pass preliminary certification. The algorithm performance can be evaluated by analytical methods, but this usually involves considerable simplifications and restrictive assumptions, and thus often leads to inaccurate results. Correct results can be obtained by simulation methods. It is advisable to use a mixed strategy for evaluating the algorithm performance.

关键词： signal processing algorithms certification Assaying equipment

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TRACKING PROPERTIES OF ADAPTIVE signal-processing algorithms

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IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND signal processing 1981年第3期29卷 439-446页

作者： FARDEN, DC Department of Electrical Engineering University of Rochester Rochester NY USA

Adaptive signal processing algorithms are often used in order to "track" an unknown time-varying parameter vector. This work develops an upper bound on the mean of the norm-squared error between the unknown parameter vector being tracked and the value obtained by the algorithm. The results require very mild covariance decay rate conditions on the training data and a bounded algorithm. The upper bound illustrates the relationship between the algorithm step size and the maximum rate of variation in the parameter vector being tracked.

关键词： Adaptive signal processing signal processing algorithms Random variables Cost function Speech processing Acoustic signal processing Equations signal processing Least squares approximation Computational complexity

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Innovative implementation and simulation of signal processing algorithms for the ASTP & DITP programs.

Innovative implementation and simulation of signal processin...

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Conference on signal and Data processing of Small Targets

作者： DeChaine, MD Kinashi, Y Nichols Res Corp Arlington VA 22202 USA

ISBN: (纸本)0819428221

An innovative approach is being used to implement and simulate the infrared (IR) and laser radar signal processing algorithms for the Advanced Sensor Technology Program (ASTP) and the Discrimination Interceptor Technology Program (DITP). Although the algorithms will run on four different computer architectures, they will use the same source code for all implementations. The initial development and testing will occur in Mathcad on a Windows 95/NT personal computer, then move to simulation on a Silicon Graphics (SGI) workstation, then to scaled real-time simulation on a parallel high performance computer (HPC), and finally to the actual flight processor, the miniaturized parallel Wafer Scale signal Processor (WSSP) with a MIMD (multiple-instruction and multiple data) architecture. This flexibility is accomplished with code wrappers that implement interchangeable interface layers for the code modules, one wrapper for Mathcad matrices, one for C++ objects on the workstation, one for message passing with static routing on the HPC, and one for dynamically routed message passing on the WSSP. With this approach, developers can move modules back and forth from the workstation simulation environment to the implementation hardware. This will eliminate the need to maintain different versions of the same algorithm. The signal processing algorithms will be modified to work in a massively parallel architecture, with a message passing interface, which is simulated on the Silicon Graphics workstation, emulated on the HPC, and implemented on the WSSP. This approach will allow for pipeline processing as well as multiple, concurrently running instances of modules. In addition, innovative algorithms will fuse active laser radar detections and passive multicolor IR sensor measurements to improve target state estimation.

关键词： signal processing algorithms parallel processing simulation infrared sensors laser radar ballistic missile defense

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Efficient signal processing algorithms for Radar and Telecommunication Systems 5

Efficient Signal Processing Algorithms for Radar and Telecom...

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International Conference on Advances in Computing, Communications and Informatics (ICACCI)

作者： Sokolov, Rostislav I. Dolmatov, Denis A. Abdullin, Renat R. Ural Fed Univ Inst Radioelect & Informat Technol Ekaterinburg Russia

ISBN: (纸本)9781509020287

It is proposed to develop a quasi-optimal RF-pulse signal receiver algorithm based on Markov theory of nonlinear filtering. Evaluating the synthesized algorithm efficiency is founded on a semi-natural experiment of processing the signal mixed with Johnson or white Gaussian noises. The developed algorithm has been simulated in Simulink MatLab. The experiment was implemented on the installation of the wireless communication National Instruments PXIe-1075. The gain in the signal to noise ratio of the nonlinear Markov filtering algorithm compared with the adaptive algorithm is from 2 to 5 dB for white Gaussian noise and various Johnson noises for correct reception error probability equaled to 0.1. The S-L Johnson noise has the best masking effect, and the S-B Johnson noise has the worst one.

关键词： Adaptive filters digital signal processing filtering algorithms Gaussian noise Markov processes nonlinear filters signal processing algorithms

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Combination of Body Sensor Networks and On-Body signal processing algorithms: The practical case of MyHeart project

Combination of Body Sensor Networks and On-Body Signal Proce...

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International Workshop on Wearable and Implantable Body Sensor Networks

作者： Luprano, J. Sola, J. Dasen, S. Koller, J. M. Chetelat, O. Ctr Suisse Elect & Microtech SA Jaquet Droz 1 CH-2007 Neuchatel Switzerland

ISBN: (纸本)0769525474

Smart clothes increase the efficiency of long-term noninvasive monitoring systems by facilitating the placement of sensors and increasing the number of measurement locations. Since the sensors are either garment-integrated or embedded in an unobtrusive way in the garment, the impact on the subject's comfort is minimized. However the main challenge of smart clothing lies in the enhancement of signal quality and the management of the huge data volume resulting from the variable contact with the skin, movement artifacts, non-accurate location of sensors and the large number of acquired signals. This paper exposes the strategies and solutions adopted in the European IST project MyHeart to address these problems, from the definition of the body sensor network to the description of two embedded signal processing techniques performing on-body ECG enhancement and motion activity classification.

关键词： biomedical equipment clothing electrocardiography medical signal processing wireless sensor networks ECG MyHeart project body sensor networks embedded signal processing motion activity classification on-body signal processing algorithms signal quality sm Body sensor networks Electrocardiography signal quality Medical device Clothing medical signal processing Sensors variable contact smart clothing Samarium signal processing algorithms

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Battery-friendly design of signal processing algorithms

Battery-friendly design of signal processing algorithms

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IEEE Workshop on signal processing Systems

作者： Raghavan, P Chakrabarti, C Arizona State Univ Dept Elect Engn Tempe AZ 85287 USA

ISBN: (纸本)0780377958

Portable systems today are designed with lowering the energy consumption as the primary design metric. This is unfortunate since maximizing battery lifetime is. a more appropriate metric, and lowering energy does not necessarily mean improving battery lifetime. In this paper we first show how to design battery-friendly implementations of common signal processing kernels such as FIR filters and FFT. The basic idea is to generate a load profile that results in better battery behavior. Next, we demonstrate how frequency scaling can be used effectively to improve the battery behavior of an application such as MPEG2.

关键词： Algorithm design and analysis Batteries Energy consumption Finite impulse response filter Frequency Kernel Process design signal design signal processing algorithms Voltage

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Multi-stage adaptive signal processing algorithms

Multi-stage adaptive signal processing algorithms

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1st IEEE Sensor Array and Multichannel signal processing Workshop (SAM 2000)

作者： Kozat, SS Singer, AC Univ Illinois Urbana IL 61801 USA

ISBN: (纸本)0780363396

In this paper, we explore the use of multi-stage adaptation algorithms for a variety of adaptive filtering applications where the structure of the underlying process to be estimated is unknown. These algorithms are "multi-stage" in that they comprise multiple adaptive filtering algorithms that operate in parallel on the observation sequence, and adaptively combine the outputs of this first stage to form an overall signal estimate. Several examples of this class of algorithms are demonstrated and analyzed in both a deterministic and stochastic context with respect to their convergence and mean squared error. The first example of this class, a "universal" linear predictor, was recently introduced and shown to asymptotically achieve the performance of the best linear predictor for each sequence, (up to some maximal order). Two new algorithms have been developed that generalize this universal linear predictor, and explore the use of the LMS algorithm in each stage of adaptation. Each of these algorithms are compared through theoretical analysis of their behavior.

关键词： Adaptive filters Adaptive signal processing Algorithm design and analysis Convergence Data compression Filtering algorithms Least squares approximation Machine learning algorithms Resonance light scattering signal processing algorithms

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TINA: ACCELERATION OF NON-NN signal processing algorithms USING NN ACCELERATORS 34

TINA: ACCELERATION OF NON-NN SIGNAL PROCESSING ALGORITHMS US...

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34th International Workshop on Machine Learning for signal processing

作者： Boerkamp, Christiaan van der Vlugt, Steven Al-Ars, Zaid Delft Univ Technol Mekelweg 4 NL-2628 CD Delft Netherlands ASTRON Oude Hoogeveensedijk 4 NL-7991 PD Dwingeloo Netherlands

ISBN: (纸本)9798350372267;9798350372250

This paper introduces TINA, a novel framework for implementing non Neural Network (NN) signal processing algorithms on NN accelerators such as GPUs, TPUs or FPGAs. The key to this approach is the concept of mapping mathematical and logic functions as a series of convolutional and fully connected layers. By mapping functions into such a small sub stack of NN layers, it becomes possible to execute non-NN algorithms on NN hardware (HW) accelerators efficiently, as well as to ensure the portability of TINA implementations to any platform that supports such NN accelerators. Results show that TINA is highly competitive vs alternative frameworks, specifically for complex functions with iterations. For a Polyphase Filter Bank use case TINA shows GPU speedups of up to 80x vs a CPU baseline with NumPy compared to 8x speedup achieved by alternative frameworks. The framework is open source and publicly available at https://***/ChristiaanBoe/TINA.

关键词： Non-NN algorithms signal processing algorithms neural networks HW accelerators

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