With the rapid development of science and technology, the current spectrum resources can not simply cope with the high-load wireless networks transmission. In addition, because the use of spectrum resources can not be fully maximize the overload load phenomenon, which leads to the waste of resources and loss of the spectrum, the existing overall spectrum resources are not adequate utilization and its utilization can not be improved. Obviously, in order to meet the growing demand for Internet and wireless communications, we must address the low rate of utilization of spectrum resources To this end, it is proposed to use the spectrum resources in cognitive radio drainage techniques, cognitive radio node to perceive the change of radio spectrum resources, and thus connected in the most appropriate timing and spectral integration, the effect of radio data transmission, and adequately addressed the problem of the spectrum resource low utilization. This thesis is based on the in-depth analysis of cognitive radio technology to understand the routing protocol in wireless cross-layer data transmission, and then discuss the relevant characteristics of the AODV routing protocol, and base on the AODV, the routing protocol uses in the analysis of the radio network organization based on the proposed to the possibility of cognitive radio.
With the rapid development of science and technology, the current spectrum resources cannot simply cope with the high-load wireless networks cross-layer transmission. This thesis is based on the in-depth analysis of cognitive radio technology to understand the routing protocol in wireless cross-layer data transmission, and then discuss the relevant characteristics of the AODV routing protocol, and base on the AODV, the routing protocol uses in the analysis of the radio network organization based on the proposed to the possibility of cross-layer cognitive radio.
It is difficult to directly compress the raw data of synthetic aperture radar for its low relativity. In this paper, a new algorithm is put forward. Firstly range focusing is imposed to SAR raw data, which makes it have comparative high relativity, secondly a linear prediction is performed along the azimuth, lastly block adaptive quantization is used to the prediction difference series. The experiments manifest that with same bit rate, SQNR and SDNR of the algorithm proposed in this paper surpass that of BAQ algorithm. The calculation in this paper is far less than that of compression method after range focusing advised in corresponding reference.
In this paper, a kind of prevent drunk driving system is designed, which is based on the ARM9 core, alcohol detection module, GPS module, GSM module, voice module, LCD (Liquid Crystal Display), power and other functional modules are included in this new system. The system detect alcohol concentration, prevent drunk driving through the voice prompt and send text messages to a preset phone number. The system has absorbed the idea that most of the hardware functionality through software modular, so the circuit in the system is simple and that makes the system stability and accuracy greatly improved.
A block adaptive scalar-vector quantization (BASVQ) algorithm is put forward in this paper, namely, scalar quantization is applied when data blocks satisfy Gaussian distribution while vector quantization is applied when doesnt satisfy. The experiments demonstrate that the performance of BASVQ algorithm surpasses that of BAQ algorithm. The BASVQ algorithm has practical value in some degree.
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