matlab

有关机载传感器管理、传感器资源分配的经典外文博士论文，很值得仔细读读哦。(On the airborne sensor management, sensor resource allocation classic foreign doctoral thesis, is worth reading carefully Oh.)

循 环 相 关 谱检 测 法 的 检 测性 能 优 于循环 相 关 谱 系 数 检 测法,但 循环 相 关 谱检 测法 的 性 能 受 噪 声 功 率 估 计 误 差 影 响 大,而 循环 相 关 谱 系 数 检 测 法 不 需 要 已 知 噪 声 功 率,实 用性 更 强(Circular correlation spectrum inspection measurement method of inspection measurement can be optimal in cyclic correlation spectrum coefficient measuring method, but closed loop phase spectrum detection method of measuring performance is affected by the noise power estimation error is large, and cyclic correlation spectrum coefficient test don t need to noise power ratio is known, use sex is stronger)

introduction to power electronics and its applications

MATLAB 程序设计基础ppt讲义 幻灯片 内容属于入门级(MATLAB-based program design ppt lecture slides are entry-level content)

说明：  ：该文首先研究了单认知用户能量检测算法的检测性能和检测灵敏度与检测时长和噪声短时间内平均功率波 动性之间的关系，得出检测性能和检测灵敏度随噪声短时间内平均功率波动性的增大而急剧下降的结论，在低信噪 比时尤为明显；针对检测性能和检测灵敏度随噪声短时间内平均功率波动性的增大而急剧下降，提出了基于多用户 协同能量检测算法。仿真表明，在低信噪比环境下，即使噪声短时间内的平均功率存在较大的波动性，只要适当地 增加协同检测的用户数，仍可获得较为准确的检测性能。(In this paper, detection performance and detection sensitivity with detection duration and noise average power fluctuation in short time is investigated firstly. Performance accuracy and detection sensitivity drop quickly with noise average power fluctuation increasing and it is worse when signal-to-noise ratio lower. Considering the characteristic, a novel new energy detection algorithm based on cooperative is presented. Simulations show that the proposed scheme improves antagonism of noise average power fluctuation in short time and gets a good detection performance as long as increasing the number of cooperative detection users.)

无周期伪随机码P码，该程序可即时产生长码，可以控制生成长度(P code)

说明：  Optimization Example

estmation of doa using music alg

UDP测试上位机-基于matlab GUI编写(UDP unlaod machine by matlab)

Image Resolution Enhancement via Data-Driven Parametric Models in theWavelet Space(Image Resolution Enhancement via Data-Driven ParametricModels in theWavelet Space)