Search Results - Sreenivas, TV

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  1. 1
    Adaptive Window Zero-Crossing-Based Instantaneous Frequency Estimation

    Adaptive Window Zero-Crossing-Based Instantaneous Frequency Estimation by Sekhar, S Chandra, Sreenivas, TV

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  2. 2
    Signal-to-noise ratio estimation using higher-order moments

    Signal-to-noise ratio estimation using higher-order moments by Sekhar, S. Chandra, Sreenivas, T.V.

    Published in Signal processing
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  3. 3
    Auditory motivated level-crossing approach to instantaneous frequency estimation

    Auditory motivated level-crossing approach to instantaneous frequency estimation by Sekhar, S.C., Sreenivas, T.V.

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  4. 4
    Effect of interpolation on PWVD computation and instantaneous frequency estimation

    Effect of interpolation on PWVD computation and instantaneous frequency estimation by Chandra Sekhar, S., Sreenivas, T.V.

    Published in Signal processing
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  5. 5
    Adaptive Window Zero-Crossing-Based Instantaneous Frequency Estimation

    Adaptive Window Zero-Crossing-Based Instantaneous Frequency Estimation by Sekhar, S. Chandra, Sreenivas, TV

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  6. 6
    Adaptive spectrogram vs. adaptive pseudo-Wigner–Ville distribution for instantaneous frequency estimation

    Adaptive spectrogram vs. adaptive pseudo-Wigner–Ville distribution for instantaneous frequency estimation by Chandra Sekhar, S., Sreenivas, T.V.

    Published in Signal processing
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  7. 7
    IF estimation using higher order TFRs

    IF estimation using higher order TFRs by Viswanath, G., Sreenivas, T.V.

    Published in Signal processing
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  8. 8
    Cone-kernel representation versus instantaneous power spectrum

    Cone-kernel representation versus instantaneous power spectrum by Viswanath, G., Sreenivas, T.V.

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  9. 9
    Zero-crossing based spectral analysis and SVD spectral analysis for formant frequency estimation in noise

    Zero-crossing based spectral analysis and SVD spectral analysis for formant frequency estimation in noise by Sreenivas, T.V., Niederjohn, R.J.

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  10. 10
    Robust parameters for automatic segmentation of speech

    Robust parameters for automatic segmentation of speech by SaiJayram, A. K. V., Ramasubramanian, V., Sreenivas, T. V.

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  11. 11
    Vector quantization of scale factors in advanced audio coder (AAC)

    Vector quantization of scale factors in advanced audio coder (AAC) by Sreenivas, T.V., Dietz, M.

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  12. 12
    Teager energy based blood cell segmentation

    Teager energy based blood cell segmentation by Kumar, B.R., Joseph, D.K., Sreenivas, T.V.

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  13. 13
    Codebook constrained Wiener filtering for speech enhancement

    Codebook constrained Wiener filtering for speech enhancement by Sreenivas, T.V., Kirnapure, P.

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  14. 14
    Analysis of increased correlation in blind audio watermark detection

    Analysis of increased correlation in blind audio watermark detection by Krishna Kumar, S., Sreenivas, T.V.

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  15. 15
    Shared mixture GMM classifier

    Shared mixture GMM classifier by Krishna, A.G., Sreenivas, T.V.

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  16. 16
    Spectral resolution and noise robustness in auditory modeling

    Spectral resolution and noise robustness in auditory modeling by Sreenivas, T.V., Singh, K., Niederjohn, R.J.

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  17. 17
    Vectorized backpropagation and automatic pruning for MLP network optimization

    Vectorized backpropagation and automatic pruning for MLP network optimization by Stalin, S., Sreenivas, T.V.

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  18. 18
    FFT algorithm for both input and output pruning

    FFT algorithm for both input and output pruning by Sreenivas, T., Rao, P.

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  19. 19
    High-resolution narrow-band spectra by FFT pruning

    High-resolution narrow-band spectra by FFT pruning by Sreenivas, T., Rao, P.

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  20. 20
    Pruned Neural Network For Artifact Reduction In EEG Signal

    Pruned Neural Network For Artifact Reduction In EEG Signal by Sreenivas, T.V., Unnikrishnan, V.S., Dutt, D.N.

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