@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},
	}