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Efficient architecture for a multichannel array subbanding system with adaptive processing

Efficient architecture for a multichannel array subbanding s...

引用

Advance signal processing algorithms, Atchitectures, and implementations X

作者： Rabinkin, Daniel Nguyen, Huy MIT Lincoln Lab Lexington United States

An architecture is presented for front-end processing in a wideband array system which samples real signals. Such a system may be encountered in cellular telephony, radar, or low SNR digital communications receivers. The subbanding of data enables system data rate reduction, and creates a narrowband condition for adaptive processing within the subbands. The front-end performs passband filtering, equalization, subband decomposition and adaptive beamforming. The subbanding operation is efficiently implemented using a prototype lowpass finite impulse response (FIR) filter, decomposed into polyphase form, combined with a Fast Fourier Transform (FFT) block and a bank of modulating postmultipliers. If the system acquires real inputs, a single FFT may be used to operate on two channels, but a channel separation network is then required for recovery of individual channel data. A sequence of steps is described based on data transformation techniques that enables a maximally efficient implementation of the processing stages and eliminates the need for channel separation. Operation count is reduced, and several layers of processing are eliminated.

关键词： Adaptive filtering

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Efficient Sub-Pixel Interpolation And Low Power VLSI Architecture For Fractional Motion Estimation in H.264/AVC

Efficient Sub-Pixel Interpolation And Low Power VLSI Archite...

引用

4th International Conference on signal processing and Communication Systems (ICSPCS)/12th International Symposium on DSP and Communication Systems (DSPCS)/9th Workshop on the Internet, Telecommunications and signal processing (WTSP)

作者： Ndili, Obianuju Ogunfunmi, Tokunbo Santa Clara Univ Dept Elect Engn Santa Clara CA 95053 USA

ISBN: (纸本)9781424479078

In this paper we propose an efficient, low power algorithm and its co-designed VLSI architecture for fractional-pel motion estimation (FME) in H.264/AVC. Our fractional-pel motion estimator uses a simplified FIR filter for half-pel interpolation. Usage of this filter reduces the required number of computations and the memory size and bandwidth for half-pel interpolation. Our simulations compare our algorithm with the state-of-the-art, in terms of rate-distortion performance and computational complexity. Our VLSI architecture is prototyped on a Field Programmable System on Chip (FPSoC), comprising a Virtex-ii Pro FPGA and an embedded PowerPC processor. Our results show that our algorithm on average has better rate-distortion performance, compared to previous state-of-the-art FME algorithms, while its losses compared to FME in H.264/AVC, are insignificant. Our prototyped architecture is more hardware-efficient than previous FPGA-based architectures, in terms of power consumption, throughput, area and memory utilization. We also show that its performance in terms of transistor count, throughput and power consumption, are comparable to that of state-of-the-art ASIC implementations.

关键词： ASIC implementations FIR filters FPSoC H.264/AVC VLSI Virtex-ii Pro FPGA computational complexity computational complexity embedded PowerPC processor field programmable gate arrays field programmable system on chip fractional motion estimation half-pel in

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ECG signal processing, Classification and Interpretation: A Comprehensive Framework of Computational Intelligence

引用

2011年

作者： Adam Gacek and Witold Pedrycz

ISBN: (纸本)0857298674

The book shows how the various paradigms of computational intelligence, employed either singly or in combination, can produce an effective structure for obtaining often vital information from ECG signals. The text is self-contained, addressing concepts, methodology, algorithms, and case studies and applications, providing the reader with the necessary background augmented with step-by-step explanation of the more advanced concepts. It is structured in three parts: Part I covers the fundamental ideas of computational intelligence together with the relevant principles of data acquisition, morphology and use in diagnosis; Part ii deals with techniques and models of computational intelligence that are suitable for signal processing; andPart iiI details ECG system-diagnostic interpretation and knowledge acquisition architectures. Illustrative material includes: brief numerical experiments; detailed schemes, exercises and more advanced problems.

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Algorithm for the singular value decomposition of a matrix product

Algorithm for the singular value decomposition of a matrix p...

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advanced signal-processing algorithms, architectures, and implementations

作者： Bojanczyk, Adam W. Ewerbring, L.Magnus Luk, Franklin T. Van Dooren, Paul Cornell Univ Ithaca United States

In this paper, we propose a new algorithm for computing a singular value decomposition of a matrix product. We show that our algorithm is numerically desirable in that all relevant residual elements will be numericall... 详细信息

关键词： signal processing

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Exploiting FPGA Capabilities for Accelerated Biomedical Computing 26

Exploiting FPGA Capabilities for Accelerated Biomedical Comp...

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26th IEEE signal processing: algorithms, architectures, Arrangements, and Applications, SPA 2023

作者： Inadagbo, Kayode Arig, Baran Alici, Nisanur Isik, Murat Prairie View AandM University Prairie ViewTX United States Drexel University PhiladelphiaPA United States Erciyes University Kayseri Turkey

ISBN: (纸本)9798350304985

This study presents advanced neural network architectures including Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory Networks (LSTMs), and Deep Belief Networks (DBNs) for enhanced ECG signal analysis using Field Programmable Gate Arrays (FPGAs). We utilize the MIT-BIH Arrhythmia Database for training and validation, introducing Gaussian noise to improve algorithm robustness. The implemented models feature various layers for distinct processing and classification tasks and techniques like EarlyStopping callback and Dropout layer are used to mitigate overfitting. Our work also explores the development of a custom Tensor Compute Unit (TCU) accelerator for the PYNQ Z1 board, offering comprehensive steps for FPGA-based machine learning, including setting up the Tensil toolchain in Docker, selecting architecture, configuring PS-PL, and compiling and executing models. Performance metrics such as latency and throughput are calculated for practical insights, demonstrating the potential of FPGAs in high-performance biomedical computing. The study ultimately offers a guide for optimizing neural network performance on FPGAs for various applications. © 2023 Division of signal processing and Electronic Systems, Poznan University of Technology (DSPES PUT).

关键词： signal analysis

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Tomographic techniques in image and signal processing

Tomographic techniques in image and signal processing

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advanced signal-processing algorithms, architectures, and implementations

作者： Snyder, Donald L. Washington Univ St. Louis United States

An iterative solution is given for solving deblurring problems having nonnegativity constraints through the use of methods motivated by tomographic imaging. After briefly reviewing three versions of tomographic-imaging problems, the paper indicates how methods that have proven to be powerful for the third version, weighted-integral tomography, can be applied to the more general deblurring problem when nonnegativity constraints are present.

关键词： signal processing

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A unified design framework for Vector Rotational CORDIC Family based on Angle Quantization process

A unified design framework for Vector Rotational CORDIC Fami...

引用

IEEE International Conference on Acoustics, Speech, and signal processing

作者： Wu, AY Wu, CS Natl Taiwan Univ Dept Elect Engn Taipei 106 Taiwan

ISBN: (纸本)0780370414

Vector rotation is the key operation employed extensively in many digital signal processing applications. In this paper, we introduce a new design concept called Angle Quantization (AQ). It can be used as a design index for vector rotational operation, where the rotational angle is known in advance. Based on the AQ process, we establish a unified design framework for cost-effective low-latency rotational algorithms and architectures. Several existing works, such as conventional CORDIC, AR-CORDIC, MVR-CORDIC, and EEAS-based CORDIC, can be fitted into the design framework, forming a Vector Rotational CORDIC Family. Based on the new design framework, we can realize high-speed / low-complexity rotational VLSI circuits, whereas without degrading the precision performance in fixed-point implementations.

关键词： Digital signal processing

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SPA 2023 - signal processing: algorithms, architectures, Arrangements, and Applications, Conference Proceedings

SPA 2023 - Signal Processing: Algorithms, Architectures, Arr...

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26th IEEE signal processing: algorithms, architectures, Arrangements, and Applications, SPA 2023

ISBN: (纸本)9798350304985

The proceedings contain 33 papers. The topics discussed include: enhancing image security using legacy-based encryption with chaotic tent map and memristor;segmentation of retina vessels in 2D OCT-reconstructed fundus images with 3D UNet;advanced fault diagnosis in rotating machines using 2D grayscale images with improved deep convolutional neural networks;automated audio time alignment for multi-microphone setups: an open-source approach;analog, programmable switched capacitor FIR filter based on rotator architecture implemented in CMOS technology;contour extraction of surgical stoma surfaces using 2.5D images from smartphone 3D scanning;convolutional transformer-based image compression;fast prototyping of in-pavement airport navigation lamp prism classification;diagnostic development of damage of ship generator sets by means of electrical signals;and memory-efficient graph convolutional networks for object classification and detection with event cameras.

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Local stationarity and time-frequency distributions local stationarity and time-frequency distributions

Local stationarity and time-frequency distributions local st...

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advanced signal processing algorithms, architectures, and implementations XVI

作者： Galleani, Lorenzo Cohen, Léon Suter, Bruce City University of New York 695 Park Avenue New York NY 10021 Air Force Research Laboratory 525 Brooks Road Rome NY 13441 United States Dipartimento di Elettronica Politecnico di Torino 10129 Torino Italy

ISBN: (纸本)0819463922

We use time-frequency distributions to define local stationarity of a random process. We argue that local stationarity is achieved when the Wigner spectrum is approximately factorable. We show that when that is the case the autocorrelation function is the one considered by Silverman in 1957. Other time-frequency represenations are also considered.

关键词： signal filtering and prediction

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Second- and higher-order cyclostationary processing using acousto-optics

Second- and higher-order cyclostationary processing using ac...

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advanced signal processing: algorithms, architectures, and implementations V

作者： Sadler, Brian M. Army Research Lab. Adelphi MD USA

ISBN: (纸本)0819416207

In this paper we consider cyclostationary signal processing techniques implemented via acousto-optics (AO). Cyclic processing methods are reviewed and motivated, including the cyclic correlation and the cyclic spectrum. We show how a 1D AO spectrum analyzer can be used to detect the presence, and estimate the value, of cycle frequencies. The cyclic correlation can then be computed at cycle frequencies of interest using a 1D time-integrating correlator. Next we consider the problem of computing the (2D) cyclic correlation for all cycle frequencies and lags simultaneously. This is accomplished via an AO triple-product processor, configured in a manner similar to that used for ambiguity function generation. The cyclic spectrum can be obtained in a post-processing step by Fourier transforming the cyclic correlation in one dimension. We then consider higher order extensions of the cyclic correlation and show how a 2D slice of the 3D cyclic triple-correlation can be computed using an AO four-product processor.

关键词： signal processing

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