@article{(Open Science Index):https://publications.waset.org/pdf/10012563, title = {Efficient Alias-free Level Crossing Sampling}, author = {Negar Riazifar and Nigel G. Stocks}, country = {}, institution = {}, abstract = {This paper proposes strategies in level crossing (LC) sampling and reconstruction that provide alias-free high-fidelity signal reconstruction for speech signals without exponentially increasing sample number with increasing bit-depth. We introduce methods in LC sampling that reduce the sampling rate close to the Nyquist frequency even for large bit-depth. The results indicate that larger variation in the sampling intervals leads to alias-free sampling scheme; this is achieved by either reducing the bit-depth or adding a jitter to the system for high bit-depths. In conjunction with windowing, the signal is reconstructed from the LC samples using an efficient Toeplitz reconstruction algorithm.}, journal = {International Journal of Computer and Information Engineering}, volume = {16}, number = {5}, year = {2022}, pages = {176 - 184}, ee = {https://publications.waset.org/pdf/10012563}, url = {https://publications.waset.org/vol/185}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 185, 2022}, }