For hands-free man-machine audio interfaces with multi-channel sound reproduction and automatic speech recognition (ASR), both a multi-channel acoustic echo canceller (M-C AEC) and a beamforming microphone array are necessary for sufficient recognition rates. Based on known strategies for combining single-channel AEC and adaptive beamforming microphone arrays, we discuss special aspects for the...

This project considers the challenges in maximizing the worst-user’s rate for a multiple access Gaussian vector channel under power constraints. The multiple access Gaussian vector channel is derived from a multi-user OFDM uplink channel, which has no interference between subchannels. The optimal rate is determined at the maximal equal rate among the users. For a simple treatment, a multi-user ...

Current day wireless technologies, such as 802.11a, support multiple non-overlapping channels. Multiple channels can be potentially used to increase network capacity by simultaneously communicating across different channels. In infrastructure based networks, multiple channels have been utilized by placing adjacent access points on different channels, thereby promoting simultaneous use of the ch...

In this thesis we propose a multi-channel wireless network based on nodes that use multiple 802.11 radio interfaces. The proposed system is singular, as it does not require new hardware or a new MAC, but instead leverages commodity 802.11-based products. With this system, we target scenarios where the nodes are stationary and where their location can often be controlled. We evaluate the perform...

We describe a general framework for multi-channel image registration. A new similarity measure for registering two multi-channel images, each with an arbitrary number of channels, is proposed. Results show that image registration performed based on different channels generates different results. In addition, we show that, when available, the inclusion of multi-channel data in the registration p...