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检索条件"任意字段=Conference on Advanced Signal Processing Algorithms"

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Convergence results on adaptive approximate filtering 6

Convergence results on adaptive approximate filtering

引用

conference on advanced signal processing algorithms, Architectures, and Implementations VI

作者： Ludwig, JT Nawab, SH Chandrakasan, AP MIT ELECT RES LABCAMBRIDGEMA 02139

ISBN: (纸本)0819422347

We present an IIR filtering technique based upon a recently proposed approach for reducing power consumption in implementation of frequency-selective filters. The basic idea in such techniques is to utilize the most recent input and output signal samples to estimate the current SNR (defined as the ratio of the in-band signal power to the out-of-band signal power) at the filter's input. This estimated input SNR is then used to update the filter order to the minimum value which would guarantee a minimum tolerable SNR at the filter's output. A key issue addressed in this paper is how well the estimated filter order converges to the theoretical minimum for situations satisfying the assumptions behind the derivation of the technique. Experimental results are used to verify that convergence to the correct filter order depends (1) upon the number of input and output samples used for estimating the input SNR, (2) upon the filter order applied in generating the output samples that are used in estimating the input SNR and (3) upon the proximity of the actual input SNR to boundaries in the input-SNR space corresponding to changes in the optimal choice for filter order.

关键词： low power approximate processing incremental refinement structure frequency-selective filtering Butterworth filters adaptive filtering

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An adaptive algorithm for interference cancelling in array processing 6

An adaptive algorithm for interference cancelling in array p...

引用

conference on advanced signal processing algorithms, Architectures, and Implementations VI

作者： Luk, FT Qiao, SZ RENSSELAER POLYTECH INST DEPT COMP SCITROYNY 12180

ISBN: (纸本)0819422347

In array processing, one technique for cancelling interference in the presence of colored noise is the ULLV decomposition of a pair of matrices. The factorization is stable and accurate, and is easy to update when a row is added to either one of the two matrices. In earlier work, we made the assumptions that both matrices must have at least as many rows as columns and that the matrix representing interference must have full column rank. In this paper, we relax the latter restriction and allow the interference matrix to be rank deficient. We present an algorithm for computing the decomposition and two techniques for updating it. The details on updating are quite different from those in the full rank case. © 1996 SPIE. All rights reserved.

关键词： ULLV decomposition matrix updating noise subspace tracking

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Payload digital processor hardware demonstrator for satellite communications systems

Payload digital processor hardware demonstrator for satellit...

引用

1996 International conference on Communication Technology

作者： Leong, CK Mathur, RP Craig, AD MARCONI SPACE STEVENAGE SG1 2ASHERTSENGLAND

ISBN: (纸本)7505336355

Satellite communication payloads for mobile communications systems require advanced digital signal processing and narrowband beamforming techniques to meet the traffic routing flexibility. The paper describes the key functions of a narrowband digital beamforming processor and summarises key aspects of development work performed at Marconi Space to demonstrate the feasibility of such a flight processor. This includes relevant ASIC designs to validate key processing algorithms, multi-chip modules (MCMs) to demonstrate high density packaging techniques and a Flight Model Demonstrator to demonstrate a representative narrowband processor using the ASICs and MCMs.

关键词： Digital signal processing

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Binary openings and closings in one pass using finite-state machines 6

Binary openings and closings in one pass using finite-state ...

引用

conference on advanced signal processing algorithms, Architectures, and Implementations VI

作者： Waltz, FM Consultant (United States)

ISBN: (纸本)0819422347

In a series of ten papers published since 1994, a radically new technique for implementing a wide range of standard image processing operations has been presented, under the acronym SKIPSM (Separated-Kernel Image processing using finite State Machines). Key steps are: (1) the operation is separated into a row operation followed by a column operation, (2) these row and column operations are put in recursive form. That is, in a form compatible with either one-step software implementation or pipelined raster-scan hardware implementation, (3) the resulting operations are realized as FSMs (finite-state machines), and (4) these FSMs are implemented in software or in inexpensive off-the-shelf integrated circuits. Note that this technique does not require separability, in the usual sense. In this paper, the SKIPSM technique is applied to computing binary openings and closings in one pass using arbitrary binary structuring elements. Whether the resulting finite state machines are implemented in software or hardware, the result is generally much faster and/or much cheaper than conventional implementations. Furthermore, this same SKIPSM architecture is highly versatile and programmable, allowing it to be software-reconfigured to perform hundreds of other software- based or pipelined image processing operations, such a binary and grey-level morphology, the Grassfire Transform, binary and grey-level template matching, binary skeletonization, etc.

关键词： fast implementations image processing finite-state machines separability pipelining real-time inspection

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A DSP implementation of source location using microphone arrays 6

A DSP implementation of source location using microphone arr...

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conference on advanced signal processing algorithms, Architectures, and Implementations VI

作者： Rabinkin, DV Renomeron, RJ Dahl, A French, JC Flanagan, JL Bianchi, MH RUTGERS STATE UNIV CTR COMP AIDS IND PRODPISCATAWAYNJ 08855

ISBN: (纸本)0819422347

The design, implementation, and performance of a low-cost, real-time DSP system for source location is discussed. The system consists of an 8-element electret microphone array connected to a signalogic DSP daughterboard hosted by a PC. The system determines the location of a speaker in the audience in an irregularly shaped auditorium. The auditorium presents a non-ideal acoustical environment;some of the walls are acoustically treated, but there still exists significant reverberation and a large amount of low frequency noise from fans in the ceiling. The source location algorithm is implemented in a two step process: The first step determines time delay of arrival (TDOA) for select microphone pairs. A modified version of the Cross-Power Spectrum Phase Method is used to compute TDOAs and is implemented on the DSP daughterboard. The second step uses the computed TDOAs in a least mean squares gradient descent search algorithm implemented on the PC to compute a location estimate. © 1996 SPIE. All rights reserved.

关键词： microphone arrays speech source location real-time processing

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Digital signal processing for the APS transverse and longitudinal damping system

Digital signal processing for the APS transverse and longitu...

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16th Biennial Particle Accelerator conference

作者： Barr, D Sellyey, W ARGONNE NATL LAB ADV PHOTON SOURCEARGONNEIL 60439

ISBN: (纸本)078032935X

The advanced Photon Source (APS) at Argonne National Laboratory will be a 7-GeV machine. It is anticipated that for beam operations beyond the baseline design of 100 mA stored beam current, a transverse and longitudinal damping system is needed to damp instabilities. A key part of this digital damping system is digital signal processing. This digital system will be used to process samples taken from the beam and determine appropriate correction values to be applied to the beam. The processing will take the form of a transversal digital filter with adaptable filter weights. Sampling will be done at 176 MHz with a possible correction bandwidth of 88 MHz. This paper concentrates on the digital processing involved in this system, and especially on the adaptive algorithms used for determining the digital filter weights.

关键词： Storage rings

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Advances in signal processing technology for electronic warfare

Advances in signal processing technology for electronic warf...

引用

Proceedings of the IEEE 1996 National Aerospace and Electronics conference. Part 1 (of 2)

作者： Stephens, James P. Wright Lab

The denial of effective communications by enemy forces during hostile military operations has been a primary concern for military commanders since the inception of radio communications on the battlefield before World War II. Since then, the electromagnetic environment has been in a constant state of evolution toward more sophisticated jam-resistant and convert forms of modulation. For example, exotic modulation techniques employing spread spectrum (SS) signaling are routinely used by our adversaries to provide their communication links an advantage over US and Allied jammers. More recently, these same spread spectrum modulation techniques are being refined to provide convert, low probability-of-intercept (LPI) features to the unintended interceptor. The thrust of this paper focuses on developments in the theory and algorithms for detection, characterization, and exploitation of advanced waveforms using new mathematical signal processing tools introduced within the past decade. Specifically, quadratic time-frequency signal representations, wavelet transforms, and cyclostationary signal processing are introduced. This overview demonstrates the importance of these advanced techniques in a clear and concise manner. Applications and future research activities are described in this significant area that is gaining much attention in a variety of technical fields.

关键词： Electronic warfare

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Automatic flow control planning for real-time image processing devices

Automatic flow control planning for real-time image processi...

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International conference on Image processing (ICIP-96)

作者： Melchert, W FRAUNHOFER INST INFORMAT & DATA PROC D-76131 KARLSRUHEGERMANY

ISBN: (纸本)0780332598

High performance vision systems have a complex architecture which makes them difficult to program. The objective of the ARVISA (advanced Real-time VIsion System Architecture) project was to facilitate the programming of such systems by providing an integrated application development environment. Its central component is the automatic Flow Control Planner (FCP). Using the FCP, image processing algorithms can be specified in a device-independent, functional manner. These specifications are then automatically transformed into an executable control program for the desired target device. By examining industrial vision applications, it has been shown that the results of automatic planning by the FCP are comparable to those of manual planning by human experts, but they are created in much less time. FCP thus offers a significant improvement of efficiency for the programming of real-time vision systems.

关键词： Computer vision

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Separating desired image and signal invariant components from extraneous variations 6

Separating desired image and signal invariant components fro...

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conference on advanced signal processing algorithms, Architectures, and Implementations VI

作者： Williams, WJ Zalubas, EJ Hero, A UNIV MICHIGAN DEPT ELECT ENGN & COMP SCIANN ARBORMI 48109

ISBN: (纸本)0819422347

Images and signals can be characterized by representations invariant to time shifts, spatial shifts, frequency shifts, and scale changes as the situation dictates. Advances in time-frequency analysis and scale transform techniques have made this possible. The next step is to distinguish between invariant forms representing different classes of image or signal. Unfortunately, additional factors such as noise contamination and `style' differences complicate this. A ready example is found in text, where letters and words may vary in size and position within the image segment being examined. Examples of complicating variations include font used, corruption during fax transmission, and printer characteristics. The solution advanced in this paper is to cast the desired invariants into separate subspaces for each extraneous factor or group of factors. The first goal is to have minimal overlap between these subspaces and the second goal is to be able to identify each subspace accurately. Concepts borrowed from high-resolution spectral analysis, but adapted uniquely to this problem have been found to be useful in this context. Once the pertinent subspace is identified, the recognition of a particular invariant form within this subspace is relatively simple using well-known singular value decomposition techniques.

关键词： scale transform Mellin transform wordspotting singular value decomposition character recognition time-frequency

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ARPA/NAVY mountain program: adaptive signal processing for airborne early warning radar

ARPA/NAVY mountain program: adaptive signal processing for a...

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Proceedings of the 1996 IEEE International conference on Acoustics, Speech, and signal processing, ICASSP. Part 1 (of 6)

作者： Titi, Gerard W. Marshall, Daniel F. MIT Lincoln Lab Lexington United States

The Mountaintop Program is an ARPA/NAVY sponsored initiative started in 1990 to study advanced processing techniques and technologies required to support the mission requirements of next generation airborne early warning (AEW) platforms. Central to the effort is a surveillance radar measurements program executed from various mountaintop locations including field sites at the White Sands Missile Range (WMSR), New Mexico and the Pacific Missile Range Facility (PMRF), Hawaii. The program is collecting data to support the evaluation of Space-Time Adaptive processing (STAP) algorithms and the characterization and modeling of monostatic and bistatic scattering. Some of the data collected is hosted in CREST, the Common Research Environment for STAP, at the Maui High Performance Computing Center (MHPCC) and is accessible to the digital signal processing community via the World Wide Web. A subset of that data has been provided for inclusion in the IEEE signal processing Information Base at Rice University. This paper includes a discussion of program objectives and test segments and a description of the program's assets, field sites, and data product. A companion off-line demonstration of AEW signal processing concepts, using Mountaintop data available at the MHPCC, is planned.

关键词： signal processing

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