Now showing items 1330-1349 of 2175

    • Nonlinear Fault Detection for Hydraulics: Recent Advances in Fault Diagnosis and Fault Tolerance for Mechatronic Systems 

      Leuschen, Martin L.; Walker, Ian D.; Cavallaro, Joseph R. (2002-10-01)
      One of the most important areas in the robotics industry is the development of robots capable of working in hazardous environments. As humans cannot safely or cheaply work in these environments, providing a high level ...
    • Nonlinear neural codes 

      Yang, Qianli (2015-12-03)
      Most natural task-relevant variables are encoded in the early sensory cortex in a form that can only be decoded nonlinearly. Yet despite being a core function of the brain, nonlinear population codes are rarely studied and ...
    • Nonlinear phase FIR filter design with minimum LS error and additional constraints 

      Lang, Markus; Bamberger, Joachim (1994-07-01)
      We examine the problem of approximating a complex frequency response by a real-valued FIR filter according to the <i>L<sub>2</sub></i> norm subject to additional inequality constraints for the complex error function. ...
    • Nonlinear Processing of a Shift Invariant DWT for Noise Reduction 

      Lang, Markus; Guo, Haitao; Odegard, Jan E.; Burrus, C. Sidney; Wells, R.O. (1995-03-20)
      A novel approach for noise reduction is presented. Similar to Donoho, we employ thresholding in some wavelet transform domain but use a nondecimated and consequently redundant wavelet transform instead of the usual orthogonal ...
    • Nonlinear Processing of a Shift Invariant DWT for Noise Reduction 

      Lang, Markus; Guo, Haitao; Odegard, Jan E.; Burrus, C. Sidney; Wells, R.O. (1995-04-20)
      A novel approach for noise reduction is presented. Similar to Donoho, we employ thresholding in some wavelet transform domain but use a nondecimated and consequently redundant wavelet transform instead of the usual orthogonal ...
    • Nonlinear Signal Models: Geometry, Algorithms, and Analysis 

      Hegde, Chinmay (2013-07-24)
      Traditional signal processing systems, based on linear modeling principles, face a stifling pressure to meet present-day demands caused by the deluge of data generated, transmitted and processed across the globe. Fortunately, ...
    • Nonlinear System Identification Based on a Fock Space Framework 

      Zyla, Lou; de Figueiredo, Rui J.P. (1979-05-20)
      A method is presented for the identification of a nonlinear system represented by an operator V:E->Y, where the input space E is a separable Hilbert space over the field of complex numbers and the output space Y is the ...
    • Nonlinear Wavelet Processing for Enhancement of Images 

      Odegard, Jan E.; Lang, Markus; Guo, Haitao; Gopinath, Ramesh A.; Burrus, C. Sidney (1994-05-20)
      In this note we apply some recent results on nonlinear wavelet analysis to image processing. In particular we illustrate how the (soft) thresholding algorithm due to Donoho and Johnstone can successfully be used to remove ...
    • Nonlinear Wavelet Transforms for Image Coding 

      Claypoole, Roger L.; Davis, Geoffrey; Sweldens, Wim; Baraniuk, Richard G. (1997-11-01)
      We examine the central issues of invertibility, stability, artifacts, and frequency-domain characteristics in the construction of nonlinear analogs of the wavelet transform. The lifting framework for wavelet construction ...
    • Nonlinear Wavelet Transforms for Image Coding via Lifting 

      Claypoole, Roger L.; Davis, Geoffrey; Sweldens, Wim; Baraniuk, Richard G. (2003-12-01)
      We investigate central issues such as invertibility, stability, synchronization, and frequency characteristics for nonlinear wavelet transforms built using the lifting framework. The nonlinearity comes from adaptively ...
    • Nonlinear Wigner-Ville Spectrum Estimation using Wavelet Soft Thresholding 

      Baraniuk, Richard G. (1995-04-01)
      The large variance of the Wigner-Ville distribution makes smoothing essential for producing readable estimates of the time-varying power spectrum of noise corrupted signals. Since linear smoothing trades reduced variance ...
    • Nonlinear-Phase Maximally-Flat FIR Filter Deisgn 

      Selesnick, Ivan W.; Burrus, C. Sidney (1996-09-20)
      This paper reports a new analytic technique for the design of nonlinear-phase maximally-flat lowpass FIR filters. By subjecting the response magnitude and the group delay (individually) to differing numbers of flatness ...
    • Nonparametric prediction of mixing time series 

      Lee, Yuan Kang (1992)
      Prediction of future time-series values, based on a finite set of available observations, is a prevalent problem in many branches of science and engineering. By making the assumption that the time series is either Gaussian ...
    • Nonparametric, Low Bias, and Low Variance Time-Frequency Analysis of Myoelectric Signals 

      Farry, Kristin A; Baraniuk, Richard G.; Walker, Ian D (1995-09-01)
      The authors apply Thomson's multiple window method (see D. Thomson â Spectrum Estimation and Harmonic Analysisâ , Proc. of the IEEE, vol. 70, no. 9, p. 1055-96) to myoelectric signal time-frequency analysis for the first ...
    • Nonresonant surface enhanced Raman optical activity 

      Brinson, Bruce E. (2009)
      Nanoshells (NS) and nanoparticles (NP) are tunable plasmonic particles that can be precisely engineered for specific applications including surface enhanced spectroscopies. A new, general method for the synthesis of ...
    • Nonstationary signal classification using pseudo power signatures 

      Venkatachalam, Vidya; Aravena, Jorge.L. (1998-06-20)
      This paper deals with the problem of classification of nonstationary signals using signatures which are essentially independent of the signal length. We develop the notion of a separable approximation to the Continuous ...
    • Nonstationary signal classification using pseudo power signatures: The Matrix SVD Approach 

      Aravena, Jorge.L.; Venkatachalam, Vidya (1999-12-20)
      This paper deals with the problem of classification of nonstationary signals using signatures which are essentially independent of the signal length. This independence is a requirement in common classification problems ...
    • Nonstationary Signal Enhancement Using The Wavelet Transform 

      Venkatachalam, Vidya; Aravena, Jorge.L. (1996-03-20)
      Conventional signal processing typically involves frequency selective techniques which are highly inadequate for nonstationary signals. In this paper, we present an approach to perform time-frequency selective processing ...
    • A Normalization Scheme to Reduce Numerical Errors in Inverse Tangent comptations on a Fixed-point CORDIC Processor 

      Kota, Kishore; Cavallaro, Joseph R. (1992-05-20)
      Coordinate Rotation Digital Computer (CORDIC) is a unified arithmetic algorithm that allows efficient VLSI implementation of several elementary functions. Many special-purpose systems for real-time signal processing ...