The Experts below are selected from a list of 48 Experts worldwide ranked by ideXlab platform

Negovan Stamenkovic - One of the best experts on this subject based on the ideXlab platform.

  • Lowpass Filters approximation based on the Jacobi polynomials
    Facta universitatis - series: Electronics and Energetics, 2017
    Co-Authors: Nikola Stojanovic, Negovan Stamenkovic
    Abstract:

    A case study related to the design the the Analog Lowpass Filter using a set of orthogonal Jacobi polynomials, having four parameters to vary, is considered. The Jacobi polynomial has been modified in order to be used as a Filter approximating function. The obtained magnitude response is more general than the response of the classical ultraspherical Filter, due to one additional parameter available in orthogonal Jacobi polynomials. This additional parameter may be used to obtain a magnitude response having either smaller passband ripple, smaller group delay variation or sharper cutoff slope. Two methods for transfer function approximation are investigated: the first method is based on the known shifted Jacobi polynomial, and the second method is based on the proposed modification of Jacobi polynomials. The shifted Jacobi polynomials are suitable only for odd degree transfer function. However, the proposed modified Jacobi polynomial Filter function is more general. It includes the Chebyshev Filter of the first kind, the Chebyshev Filter of the second kind, the Legendre Filter, Gegenbauer (ultraspherical) Filter and many other Filters, as its special cases.

Stamenkovic Negovan - One of the best experts on this subject based on the ideXlab platform.

  • Lowpass FilterS APPROXIMATION BASED ON THE ORTHOGONAL JACOBI POLYNOMIAL
    Published by the University of Niš Serbia, 2017
    Co-Authors: Stojanovic Nikola, Stamenkovic Negovan
    Abstract:

    A case study related to the design the the Analog Lowpass Filter using a set of orthogonal Jacobi polynomials, having four parameters to vary, is considered. The Jacobi polynomial has been modified in order to be used as a Filter approximating function. The obtained magnitude response is more general than the response of the classical ultraspherical Filter, due to one additional parameter available in orthogonal Jacobi polynomials. This additional parameter may be used to obtain a magnitude response having either smaller passband ripple, smaller group delay variation or sharper cutoff slope. Two methods for transfer function approximation are investigated: the first method is based on the known shifted Jacobi polynomial, and the second method is based on the proposed modification of Jacobi polynomials. The shifted Jacobi polynomials are suitable only for odd degree transfer function. However, the proposed modified Jacobi polynomial Filter function is more general. It includes the Chebyshev Filter of the first kind, the Chebyshev Filter of the second kind, the Legendre Filter, Gegenbauer (ultraspherical) Filter and many other Filters, as its special cases

Naoki Kurosawa - One of the best experts on this subject based on the ideXlab platform.

  • Timing Error Analysis in Digital-to-Analog Converters- Effects of Sampling Clock Jitter and Timing Skew (Glitch)-
    2015
    Co-Authors: Shinya Kawakami, Naoki Kurosawa, Haruo Kobayashi, Ikkou Miyauchi, Hideyuki Kogure Takanori Komuro
    Abstract:

    This paper describes two timing nonideality issues of Digital-to-Analog Converters (DACs); sampling clock jitter and clock skew effects. (i) A formula for the output error power due to sampling clock jitter is derived, and this has been validated by numerical simulation; spectrum characteristics of jitter-related noise are also examined. We have also found that when an Analog Lowpass Filter follows the DAC and only the noise power inside the signal band is considered, increasing jitter and increasing input signal frequency degrade the DAC SNR. (ii) The clock timing skew inside the DAC causes glitch impulses. We try to characterize them by simulation and we have found the followings; as the input frequency increases, the effects of the glitch on the DAC SNR decrease. The effects of the glitch due to upper bits on the DAC SNR and SFDR are more significant than due to lower bits. Also glitch power is mainly located at the odd-multiple frequencies of the input signal

  • Sampling clock jitter effects in digital-to-Analog converters
    Measurement, 2002
    Co-Authors: Naoki Kurosawa, Haruo Kobayashi, Hideyuki Kogure, Takanori Komuro, Hiroshi Sakayori
    Abstract:

    This paper describes sampling clock jitter effects in digital-to-Analog converters. A formula for the output error power due to sampling clock jitter for a sinusoidal input is derived and verified by numerical simulations, and its spectrum characteristics is shown. Also its effects on DAC SNR is clarified by numerical simulation as follows: (i) When the total noise power outside as well as inside the signal band is taken into account, the DAC SNR remains almost constant regardless of the sampling jitter. (ii) However, when an Analog Lowpass Filter follows the DAC and only the noise power inside the signal band is considered, the DAC SNR degrades as the jitter increases and the input signal frequency becomes higher. Thus the sampling clock jitter is serious for the high speed DAC.

Hiroshi Sakayori - One of the best experts on this subject based on the ideXlab platform.

  • Sampling clock jitter effects in digital-to-Analog converters
    Measurement, 2002
    Co-Authors: Naoki Kurosawa, Haruo Kobayashi, Hideyuki Kogure, Takanori Komuro, Hiroshi Sakayori
    Abstract:

    This paper describes sampling clock jitter effects in digital-to-Analog converters. A formula for the output error power due to sampling clock jitter for a sinusoidal input is derived and verified by numerical simulations, and its spectrum characteristics is shown. Also its effects on DAC SNR is clarified by numerical simulation as follows: (i) When the total noise power outside as well as inside the signal band is taken into account, the DAC SNR remains almost constant regardless of the sampling jitter. (ii) However, when an Analog Lowpass Filter follows the DAC and only the noise power inside the signal band is considered, the DAC SNR degrades as the jitter increases and the input signal frequency becomes higher. Thus the sampling clock jitter is serious for the high speed DAC.

Haruo Kobayashi - One of the best experts on this subject based on the ideXlab platform.

  • Timing Error Analysis in Digital-to-Analog Converters- Effects of Sampling Clock Jitter and Timing Skew (Glitch)-
    2015
    Co-Authors: Shinya Kawakami, Naoki Kurosawa, Haruo Kobayashi, Ikkou Miyauchi, Hideyuki Kogure Takanori Komuro
    Abstract:

    This paper describes two timing nonideality issues of Digital-to-Analog Converters (DACs); sampling clock jitter and clock skew effects. (i) A formula for the output error power due to sampling clock jitter is derived, and this has been validated by numerical simulation; spectrum characteristics of jitter-related noise are also examined. We have also found that when an Analog Lowpass Filter follows the DAC and only the noise power inside the signal band is considered, increasing jitter and increasing input signal frequency degrade the DAC SNR. (ii) The clock timing skew inside the DAC causes glitch impulses. We try to characterize them by simulation and we have found the followings; as the input frequency increases, the effects of the glitch on the DAC SNR decrease. The effects of the glitch due to upper bits on the DAC SNR and SFDR are more significant than due to lower bits. Also glitch power is mainly located at the odd-multiple frequencies of the input signal

  • Sampling clock jitter effects in digital-to-Analog converters
    Measurement, 2002
    Co-Authors: Naoki Kurosawa, Haruo Kobayashi, Hideyuki Kogure, Takanori Komuro, Hiroshi Sakayori
    Abstract:

    This paper describes sampling clock jitter effects in digital-to-Analog converters. A formula for the output error power due to sampling clock jitter for a sinusoidal input is derived and verified by numerical simulations, and its spectrum characteristics is shown. Also its effects on DAC SNR is clarified by numerical simulation as follows: (i) When the total noise power outside as well as inside the signal band is taken into account, the DAC SNR remains almost constant regardless of the sampling jitter. (ii) However, when an Analog Lowpass Filter follows the DAC and only the noise power inside the signal band is considered, the DAC SNR degrades as the jitter increases and the input signal frequency becomes higher. Thus the sampling clock jitter is serious for the high speed DAC.