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human begins with the ear s tympanic basilar membrane and cochlea that implement about 16,000 nonlinear bandpass lters that send preconditioned signals to the lower auditory cortex. There, signals from the two ears are cross-correlated to perceive depth and direction, as well as for the separation of sound sources. The higher order processing of these signals in the medial and upper ganglia is not as well understood, but a combination of acoustic, visual, balance, and tactile sensory tracks interact to percieve point sources like speakers and distributed sources like a brook or symphony orchestra. The functions of acoustic sensory perception for AACR include the following: 1. Characterizing the acoustic background as noise, music, machinery, or conversation. 2. Estimating the number of speakers in the scene, their gender, and the degree to which their voices are known or novel. 3. Localizing in signal space the speech of the designated <User/>, the speci c person to whom the AACR is to be responsive. 4. Localizing sources of coherent interference for which high delity computational models may be available, such as TV or radio broadcast that the AACR can receive via RF as well as hear in the background. 5. Enhancing <User/> speech potentially by multiuser detection (MUD) and space time adaptive processing (STAP). 6. Extracting the enhanced <User/> speech for ASR. 7. Converting speech to text hypotheses with associated degree of belief. 8. Time tagging, rank ordering, and annotating hypotheses for <Scene/> perception. 9. Retrospective re nement of <Speech/> skills during sleep.

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Acoustic sensors access the bulk pressure vibrations of air waves with frequencies between 10 Hz and 20 kHz with speech power measured in decibels (dB) over a range of 100 dB. Microphones limit the frequency response and direction of sound, and multimicrophone arrays can enhance sound quality in meeting rooms. Sound boards typically create standard sound formats: 8-bit signed (.SAM), 64-bit Doubles (RAW) (.DBL), Adobe Audition Loop (.CEL), A/Mu-Law Wave (.WAV), mp3PRO (.MP3), PCM Raw Data (.PCM), Audio (.WMA), Windows PCM (.WAV), and others. Sound boards also generate stereophonic sound from these les. MIDI les are scripts consisting of notes from a music score that may be converted to digitized acoustic waveforms of musical instruments with special effects.

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where Pk is the power level of node k at timeslot n, Gij is the path loss factor of link (i, j), is the ambient noise power level, and is the SIR requirement. It means that when adding one link into the scheduled link set, all selected links will compute their minimum necessary power level again. A New link would be admitted if and only if all the power levels of scheduled links don t exceed the maximum power level Pmax . The joint routing and scheduling algorithm is based on the Bellman Ford algorithm, and the link metric is de ned as D(i, j) = d Qij Qmax +e Rij Rmax

where Qij is the queue size of link (i, j), and Rij is the distance between node i and j. d and e are constants satisfying d + e = 1. The rst term is the queue size, encouraging the usage of less congested links, hence alleviating congestion. The second term is related to energy consumption, encouraging transmission over short distance. Simulation results show that this joint design can improve the network performance compared with only joint scheduling and power control algorithm, and they also show that there is a tradeoff between the network performance and energy consumption. However, the joint algorithms are centralized, and they are hard to be implemented in wireless ad hoc networks. 11.4.3 Open Issues Transmission power control can affect the MAC layer, network layer, and transport layer in several ways; hence, it is a prototypical cross-layer design in wireless multihop

(a) Trace of the audio signal amplitude versus time (b) Trace as color-modulated spectra versus time

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networks Since the number of possible operations of a wireless network is large, the formulation and solutions of this problem is large, and critical challenges still exist Here we list several major challenges r The Goodness of Power Control Many works on joint optimal scheduling, routing, and power control show that if ne-grained rate adaptation is adopted in the wireless network, the optimal power allocation policy is 0 Pmax policy Therefore, it is not necessary to incorporate power control into layers of protocol stack Studies are needed to be conducted to nd in what situation power control is helpful and in what situation power control is helpless Analysis on this problem is still a critical issue that disturbs the research of transmission power control problem in wireless networks r The Model of Cross-Layer Power Control Problem.

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