Digital Signal

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The Experts below are selected from a list of 184350 Experts worldwide ranked by ideXlab platform

Yannis Tsividis - One of the best experts on this subject based on the ideXlab platform.

C Schubert - One of the best experts on this subject based on the ideXlab platform.

L J Eriksson - One of the best experts on this subject based on the ideXlab platform.

  • active sound and vibration control using adaptive Digital Signal processing
    International Conference on Acoustics Speech and Signal Processing, 1993
    Co-Authors: L J Eriksson
    Abstract:

    Active sound and vibration control is a rapidly emerging technology that has application to a wide variety of problems in manufacturing. These include reducing the exposure of workers to undesired noise and vibration, improving the quality of the product being produced, and allowing increased production rates for various processes and operations. Although the basic idea is quite old, the concept has not been practical until recently due to the development of powerful, low-cost Digital Signal processing systems. In addition, a variety of new adaptive filter techniques has broadened the range of applications. Adaptive Digital Signal processing enables the desired model to be determined in an online fashion using a system identification framework. The residual sound or vibration may be used as an error Signal in an adaptive filter structure such as the least mean squares (LMS) algorithm to determine adaptively the correct model. >

M Bailes - One of the best experts on this subject based on the ideXlab platform.

  • dspsr Digital Signal processing software for pulsar astronomy
    Publications of the Astronomical Society of Australia, 2011
    Co-Authors: W Van Straten, M Bailes
    Abstract:

    dspsr is a high-performance, open-source, object-oriented, Digital Signal processing software library and application suite for use in radio pulsar astronomy. Written primarily in C++, the library implements an extensive range of modular algorithms that can optionally exploit both multiple-core processors and general-purpose graphics processing units. After over a decade of research and development, dspsr is now stable and in widespread use in the community. This paper presents a detailed description of its functionality, justification of major design decisions, analysis of phase-coherent dispersion removal algorithms, and demonstration of performance on some contemporary microprocessor architectures.

Robert Elschner - One of the best experts on this subject based on the ideXlab platform.