text: Nowlan joined Tim Hortons in May of last year following the retirement of Bill Moir. He began working with the iconic Canadian QSR after six years leading marketing at Molson Coors Canada. Prior to that, he held a number senior marketing positions in several different territories during 17 years with Kraft Foods.
  “Peter is a dynamic brand marketer,” Smith said in a press release. “His creativity, combined with a track record of driving sales and increasing value and differentiation for top brands across international markets, will play a pivotal role in shaping the future of the Four Seasons brand.”
  
  It has been proven in theory that distributed source coding (DSC) can be used to compress correlated signals with or without loss. Recently this coding method has been used for the application of remote signal estimation in wireless sensor networks (WSN), where multiple sensor nodes compress their correlated observations without inter-node communications. Energy and bandwidth are therefore efficiently saved. No practical DSC scheme for WSNs, however, has been reported in the literature. In this paper, we study the problem of remote source estimation in WSN using a random-binning based DSC scheme. We analyze the impact of observation noise, quantization distortion, DSC decoding errors and network packet losses on the quality of the estimated signal. An adaptive control scheme is proposed to adapt the coding and transmission parameters to the network conditions. Simulation results show the proposed scheme both saves bandwidth and improves the quality of the source estimation.
  artificial neural networks , adaptive, distributed source coding, wireless sensor networks, Electrical engineering. Electronics Nuclear engineering