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[Author] Roghayeh DOOST(3hit)

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  • Analysis of the Clock Jitter Effects in a Time Invariant Model of Continuous Time Delta Sigma Modulators

    Hossein SHAMSI  Omid SHOAEI  Roghayeh DOOST  

     
    PAPER

      Vol:
    E89-A No:2
      Page(s):
    399-407

    In this paper by using an exactly analytic approach the clock jitter in the feedback path of the continuous time Delta Sigma modulators (CT DSM) is modeled as an additive jitter noise, providing a time invariant model for a jittery CT DSM. Then for various DAC waveforms the power spectral density (psd) of the clock jitter at the output of DAC is derived and by using an approximation the in-band power of the clock jitter at the output of the modulator is extracted. The simplicity and generality of the proposed approach are the main advantages of this paper. The MATALB and HSPICE simulation results confirm the validity of the proposed formulas.

  • A New Method for Elimination of the Clock Jitter Effects in Continuous Time Delta-Sigma Modulators

    Hossein SHAMSI  Omid SHOAEI  Roghayeh DOOST  

     
    PAPER

      Vol:
    E88-A No:10
      Page(s):
    2570-2578

    In this paper the spectral density of the additive jitter noise in continuous time (CT) Delta-Sigma modulators (DSM) is derived analytically. Making use of the analytic results, extracted in this paper, a novel method for elimination of the damaging effects of the clock jitter in continuous time Delta-Sigma modulators is proposed. In this method instead of the conventional waveforms used in the feedback path of CT DSM's such as the non return to-zero, the return to-zero, and the half delay return to-zero, an impulse waveform is employed.

  • A New Method for Low SNR Estimation of Noisy Speech Signals Using Fourth-Order Moments

    Roghayeh DOOST  Abolghasem SAYADIAN  Hossein SHAMSI  

     
    PAPER-Speech and Hearing

      Vol:
    E93-D No:6
      Page(s):
    1599-1607

    In this paper the SNR estimation is performed frame by frame, during the speech activity. For this purpose, the fourth-order moments of the real and imaginary parts of frequency components are extracted, for both the speech and noise, separately. For each noisy frame, the mentioned fourth-order moments are also estimated. Making use of the proposed formulas, the signal-to-noise ratio is estimated in each frequency index of the noisy frame. These formulas also predict the overall signal-to-noise ratio in each noisy frame. What makes our method outstanding compared to conventional approaches is that this method takes into consideration both the speech and noise identically. It estimates the negative SNR almost as well as the positive SNR.