PCFbendloss

DSB_AM双边带调制技术的MATLAB仿真(Bilateral DSB_AM modulation techniques with MATLAB simulation)

对X光图像进行综合增强，用到了各种方法，并集中起来，希望对大家有帮助，仅供大家参考，希望有用(Expansion of the edge of the image matrix so that matrix, the edge of large circle, easy to use template processing, in the hope we have help, only for your reference and hope be useful)

通过小程序的仿真是现阶段的定位以及相关内容的撰写(Sure to upload high quality source code and website writing seriously upload information, including content description (at least 20). Try not to let the owners have spent time on the revised instructions you. Unpack the archive and can not have a password)

说明：  应用在认知无线电频谱检测中。环境：经过加性白噪声的信号。功能：求解虚警概率和漏检概率。(Used in cognitive radio spectrum detection.Environment: after additive white noise signal.Function: to solve the false alarm probability and missed detection probability.)

树状网潮流程序，ＭＡＴＬＡＢ代码编写，附１９９８年文献说明(tree network trend procedures, the preparation of MATLAB code, with the literature in 1998)

RAKE接收机Matlab仿真源程序，希望对大家有用！(RAKE receiver Matlab simulation source code, useful for all!)

这是一个无线通信空时码仿真程序，编码数据形成流进行同步传输，采用的是最大似然译码。(This is a wireless communications space-time simulation codes, encoding data flow synchronization formed transmission, using the maximum- likelihood decoding.)

说明：  有关绘图的matlab实现源代码，希望给大家带来帮助。(Drawing on the matlab source code, hope to bring you help.)

统的联合概率数据关联算法(IPDA)是在密集杂波环境下的一种良好的多目标跟踪算法， 但它是针对单传感嚣对多目标跟踪的情况下使用，不能直接用于多传感器对多目标的跟踪。针对这 一问题，文中提出了一种适用于多传感器多目标跟踪的JPDA算法，它以极大似然估计完成对来自 多传感器的测量集合进行同源最优分划，然后采用JPDA方法对多目标进行跟踪。经过理论分析和 仿真试验，证明了该方法能有效地进行多传感器多目标的跟踪，且具有算法简单、跟踪精度高、附 加的计算量小等优点。(Abstract)m JointProbabilisticDataAssociation(JPDA)solves single sensormultitatgcttrackingin ClUtter,butitc锄not bc used directly in mnitisensor multitarget tracking．喇8 paper presents a method to implement multi—sensor multi—target tracking by combining maximum likelihood estimation wim JPDA The maximum Iikelihood estimation is used to classify the same source observations at one time into the same set,and血en JPDA implements multi—target uacking after the position fitsed．The theory analysis and computer simulation show that this algorithm may achieve multi—sensor multi—target tracking perfectly with low calculation load added and higher precision 。)

MATLAB大学课件，希望能对你们有所帮助。(MATLAB)