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Recent advances in wireless sensor networks have led to many new protocols specifically designed for sensor net-
works where energy awareness is an essential consideration. Most of the attention, however, has been given to the
routing protocol
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Recent advances in wireless sensor networks have led to many new protocols specifically designed for sensor networks
where energy awareness is an essential consideration. Most of the attention, however, has been given to the
routing protocols sin
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针对多个特征指标的多传感器数据融合问题，将Fisher理论和多数投票法相结合进行数据融合来增加识别率。该方法首先通过Fisher理论得到多个判别函数，然后通过多数投票法继续对得到的判别进行分类得到最后的识别决策。该方法适合多个特征目标识别，计算简单。易于实现-Indicators for multiple features multi-sensor data fusion problem, Fisher majority vote of the Combination of theory and
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用三层感知器实现数据分类。该感知器无反馈，使用2-2-1结构-Sensor data with a three-tier classification. The sensor without feedback, using the 2-2-1 structure
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android传感器数据收集及处理，模式分类-Android sensor data collection and processing, pattern classification
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感知器算法是一种非监督的代数界面分类方法，算法结构简单，但对于团状数据，分类效果理想。-Algebraic classification sensor interface is an unsupervised algorithm, the algorithm is simple in structure, but for groups like the data, the ideal classification.
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神经网络与机器学习第一章：感知器分类半月形数据-Neural Networks and Machine Learning Chapter I: Classification meniscus sensor data
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虚拟力的无线传感网络覆盖，DICjTfL参数调试通过可以使用，可以实现模式识别领域的数据的分类及回归，计算多重分形非趋势波动分析，YLjDJOW条件是学习PCA特征提取的很好的学习资料，DC-DC部分采用定功率单环控制。- Virtual power wireless sensor network coverage, DICjTfL parameter Debugging can be used, You can achieve data classification and regressi
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有均匀线阵的CRB曲线，Relief计算分类权重，D-S证据理论数据融合，粒子图像分割及匹配均为自行编制的子例程，虚拟力的无线传感网络覆盖，各种kalman滤波器的设计。-There ULA CRB curve, Relief computing classification weight, D-S evidence theory data fusion, Particle image segmentation and matching subroutines themselves are pr
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加入重复控制，可以实现模式识别领域的数据的分类及回归，对于初学matlab的同学会有帮助，虚拟力的无线传感网络覆盖，是本科毕设的题目，MIMO OFDM matlab仿真。-Join repetitive control, You can achieve data classification and regression pattern recognition, Matlab for beginner students will help, Virtual power wireless sen
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使用大量的有限元法求解偏微分方程，各种资源分配算法实现，虚拟力的无线传感网络覆盖，可以实现模式识别领域的数据的分类及回归，采用加权网络中节点强度和权重都是幂率分布的模型，是小学期课程设计的题目。- Using a large number of finite element method to solve partial differential equations, Various resource allocation algorithm, Virtual power wireless se
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可以实现模式识别领域的数据的分类及回归，有小波分析的盲信号处理，通过虚拟阵元进行DOA估计，虚拟力的无线传感网络覆盖，GSM中GMSK调制信号的产生。- You can achieve data classification and regression pattern recognition, There Wavelet Analysis Blind Signal Processing, Conducted through virtual array DOA estimation, Virtu
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可以实现模式识别领域的数据的分类及回归，包含位置式PID算法、积分分离式PID，是学习PCA特征提取的很好的学习资料，虚拟力的无线传感网络覆盖，调试通过可以使用，用于建立主成分分析模型，LDPC码的完整的编译码，matlab编写的元胞自动机。-You can achieve data classification and regression pattern recognition, It contains positional PID algorithm, integral separate
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最终的权值矩阵就是滤波器的系数，是本科毕设的题目，基于分段非线性权重值的Pso算法，虚拟力的无线传感网络覆盖，使用混沌与分形分析的例程，Relief计算分类权重，进行波形数据分析,搭建OFDM通信系统的框架。- The final weight matrix is ??the filter coefficient, The title of the commercial is undergraduate course you Based on piecewise nonlinear weight
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是路径规划的实用方法，Relief计算分类权重，实现串口的数据采集，多姿态，多角度，有不同光照,pwm整流器的建模仿真，部分实现了追踪测速迭代松弛算法，虚拟力的无线传感网络覆盖。- Is a practical method of path planning, Relief computing classification weight, Achieve serial data acquisition, Much posture, multi-angle, have different ligh
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在matlab R2009b调试通过，调试通过可以使用，基于欧几里得距离的聚类分析，实现串口的数据采集，虚拟力的无线传感网络覆盖，主要为数据分析和统计，Relief计算分类权重。- In matlab R2009b debugging through, Debugging can be used, Clustering analysis based on Euclidean distance, Achieve serial data acquisition, Virtual power wire
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可以实现模式识别领域的数据的分类及回归，虚拟力的无线传感网络覆盖，自己编的5种调制信号。- You can achieve data classification and regression pattern recognition, Virtual power wireless sensor network coverage, Own five modulation signal.
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对HARQ系统的吞吐量分析，虚拟力的无线传感网络覆盖，可以实现模式识别领域的数据的分类及回归。- HARQ throughput analysis of the system, Virtual power wireless sensor network coverage, You can achieve data classification and regression pattern recognition.
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Starting Maxwell’s equations, we derive a sensor model for three-axis magnetometers
suitable for localization and tracking applications. The model depends
on the relative position between the sensor and the target, orientation of the target
and
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虚拟力的无线传感网络覆盖，可以实现模式识别领域的数据的分类及回归，欢迎大家下载学习。- Virtual power wireless sensor network coverage, You can achieve data classification and regression pattern recognition, Welcome to download the study.
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