Abstract: Multi-rate digital signal processing techniques have been developed in recent years for a wide range of applications, such as speech and image compression, statistical and adaptive signal processing and digital audio. Multi-rate statistical and adaptive signal processing methods provide solution to original signal reconstruction, using observation signals sampled at different rates. In this study, a signal reconstruction process by using the observation signals which are sampled at different sampling rates is presented. The results are compared with the least mean squares (LMS) and the normalized least mean squares (NLMS) methods. As the results indicate, the signal estimation obtained is much more efficient than the previous studies. Designed multi-rate scheme provides significant advantages in terms of error and estimation accuracy.

Korhan Cengiz, “Signal Reconstruction with Adaptive Multi-Rate Signal Processing Algorithms” International Journal of Advanced Computer Science and Applications(IJACSA), 6(7), 2015. http://dx.doi.org/10.14569/IJACSA.2015.060707

@article{Cengiz2015,
title = {Signal Reconstruction with Adaptive Multi-Rate Signal Processing Algorithms},
journal = {International Journal of Advanced Computer Science and Applications}
doi = {10.14569/IJACSA.2015.060707},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060707},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {7},
author = {Korhan Cengiz},
}