Equivalence between multirate filter bank and circular lattice filter and its application in statistically matched multirate filter bank

Author:

Nalbalwar S. L.,Joshi S. D.

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Reference22 articles.

1. Bhati, D., Sharma, M., Pachori, R. B., & Gadre, V. M. (2017). Time–frequency localized three-band biorthogonal wavelet filter bank using semidefinite relaxation and nonlinear least squares with epileptic seizure EEG signal classification. Digital Signal Processing, 62, 259–273.

2. Binish, F., & Joshi, S. D. (2014). Exact least squares algorithm for signal matched multirate whitening filter bank: Part I. arXiv preprint arXiv.1409.5015.

3. Binish, F., & Joshi, S. D. (2014). Exact least squares algorithm for signal matched synthesis filter bank: Part II. arXiv preprint arXiv.1409.5099.

4. Binish, F., Joshi, S. D. (2015). An optimal biorthogonal M-channel signal matched FIR filter bank. In 2015 International Conference on Computational Science and Computational Intelligence (CSCI), IEEE, pp. 443–447.

5. Binish, F., & Joshi, S. D. (2015). Computationally efficient MIMO system identification using Signal Matched Synthesis Filter Bank. arXiv preprint arXiv:1505.06878.

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