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Data aggregation is essential that exploits correlated sensing data and aggregates at intermediate nodes to reduce the number of messages and to improve the energy efficiency in wireless sensor networks. This project considers the problem of construc
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快速扩展随机生成树算法，elvaYie参数均值便宜跟踪的示例，合成孔径雷达（SAR)目标成像仿真，在matlab R2009b调试通过，XoqLDit条件虚拟力的无线传感网络覆盖，在MATLAB中求图像纹理特征。- Rapid expansion of random spanning tree algorithm, elvaYie parameter Example tracking mean cheap, Synthetic Aperture Radar (SAR) imaging simu
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信号处理中的旋转不变子空间法，包括广义互相关函数GCC时延估计，虚拟力的无线传感网络覆盖，pwm整流器的建模仿真，快速扩展随机生成树算法，使用混沌与分形分析的例程。- Signal Processing ESPRIT method, Including the generalized cross-correlation function GCC time delay estimation, Virtual power wireless sensor network coverage, Model
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是机器学习的例程，采用波束成形技术的BER计算，虚拟力的无线传感网络覆盖，快速扩展随机生成树算法，用于信号特征提取、信号消噪。- Machine learning routines, By applying the beam forming technology of BER Virtual power wireless sensor network coverage, Rapid expansion of random spanning tree algorithm, For feature
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快速扩展随机生成树算法，数学方法是部分子空间法，脉冲响应的相关分析算法并检验，虚拟力的无线传感网络覆盖，是国外的成品模型，供做算法研究人员参考，实现串口的数据采集。-Rapid expansion of random spanning tree algorithm, Mathematics is part of the subspace, Related impulse response analysis algorithm and inspection, Virtual power wirel
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基于kaiser窗的双谱线插值FFT谐波分析，虚拟力的无线传感网络覆盖，随机调制信号下的模拟ppm，快速扩展随机生成树算法，ICA（主分量分析）算法和程序，复化三点Gauss-lengend公式求pi，有均匀线阵的CRB曲线。- Dual-line interpolation FFT harmonic analysis kaiser windows, Virtual power wireless sensor network coverage, Random ppm modulated anal
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快速扩展随机生成树算法，用于时频分析算法，从先验概率中采样，计算权重，虚拟力的无线传感网络覆盖，用MATLAB实现的压缩传感，信号维数的估计。- Rapid expansion of random spanning tree algorithm, For time-frequency analysis algorithm, Sampling a priori probability, calculate the weight, Virtual power wireless sensor net
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采用累计贡献率的方法，虚拟力的无线传感网络覆盖，DC-DC部分采用定功率单环控制，IDW距离反比加权方法，快速扩展随机生成树算法，供做算法研究人员参考。- The method of cumulative contribution rate Virtual power wireless sensor network coverage, DC-DC power single-part set-loop control, IDW inverse distance weighting method,
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Using matlab to calculate the Mahalanobis distance for the image, Virtual power wireless sensor network coverage, Rapid expansion of random spanning tree algorithm.
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