Low-complexity audio compression methods for wireless sensors

Wireless sensors are frequently used for recording surrounding speech and then sending it to a base station. Their way of communication via radio waves makes it important to employ some form of audio compression, while their limited RAM and low-capacity CPU restrict the range of methods which can be applied. In this paper a number of such methods are tested, and show that they can indeed be effective: a 30% bandwidth saving was achieved practically without information loss and a 50% bandwidth reduction at the cost of some negligible information loss.