RESUMO O ensino da acupuntura ainda não está presente na maioria das escolas médicas do Brasil apesar de a acupuntura ser indicada pela Organização Mundial da Saúde (OMS),

A theoretical approach is presented for estimating the quality of signal reception, in an indoor mobile communication system with high transmission bit-rate. A frequency-selective channel model is used for M-ary PSK modulated signals corrupted by additive white noise and interference under Nagakami-Rice fading conditions. Subsequently, the problem of finding a practical way to determine the level of interference (due to frequency reuse from neighbouring m'crocells and dueto the multipath delay spread) is addressed. Thus, a parameter is proposed as a quality factor for measuring, in real-time, the reliability of the communication link. The proposed method helps decision making for on-line nehvork nzanagement such as dynamic channel allocation and adaptive power control.

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A blind algorithm with implicit signal selectivity capability is proposed. The algorithm is an evolution of the original multiuser constant modulus algorithm of [ I ] . The new algorithm features a least-squares type updating rule for fast convergence rate and an adaptive control of the weight of the decorrelation term which improves the steady-state error variance. The expected improvements of the proposed algorithm are verified through simulations with smart antennas in a spatial-division multiple access system.

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In cellular mobile systems the on-line assessment of a radio link performance is normally associated with measurements in the received signal power, and is taken before signal demodulation. It determines thresholds for handover policies, transmitting power control, diversity switching schemes, and other operations. However, a large received signal power does not necessarily mean "good quality" when it comes to considering radio links corrupted by cochannel interference, multipath propagation and background noise. In such cases, a better parameter to assess signal quality is the signal-to-interference-plus-noise power ratio (SINR). Although this qualityfactor parameter is well-known in literature, little has been written about how to measure it in a practical context. This work presents a method for the SINR estimation applied to a system using the Digital European Cordless Telecommunications (DECT) specification, but it can also be used by any other system employing constant modulus signals.

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