A survey of QoS enhancements for IEEE 802.11 wireless LAN: Research Articles
Wireless Communications & Mobile Computing
VoIP over wireless mesh networks: challenges and approaches
WICON '06 Proceedings of the 2nd annual international workshop on Wireless internet
A network of adaptive Kalman filters for data channel equalization
IEEE Transactions on Signal Processing
Parallel and sequential block Kalman filtering and theirimplementations using systolic arrays
IEEE Transactions on Signal Processing
An improvement to the interacting multiple model (IMM) algorithm
IEEE Transactions on Signal Processing
IEEE Transactions on Audio, Speech, and Language Processing
On causal algorithms for speech enhancement
IEEE Transactions on Audio, Speech, and Language Processing
Performance analysis and enhancements for IEEE 802.11e wireless networks
IEEE Network: The Magazine of Global Internetworking
Bandpass Filter with Wide Stopband Using Composite Right/Left Handed Transmission Line
Wireless Personal Communications: An International Journal
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In this paper, a QoS enhancement scheme is proposed using an Interacting Multiple Model (IMM) for wireless VoIP (WVoIP) networks. The quality of speech varies in WVoIP due to variations in channel parameters. Kalman filter can be used to enhance speech quality by predicting the channel variations. IMM consists of two models namely static and dynamic, representing the wireless VoIP mobility states and both filters work in parallel. The IMM filter estimate is computed as a weighted sum of individual filter estimates. As the computational complexity is more in IMM, a systolic array based parallel architecture is proposed to implement IMM for real time applications.