搜索资源列表
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7下载：
多传感器多目标数据融合的ＩＭＭ＿ＭＳＰＤＡ关联算法，算法结果表明多模型算法用于跟踪机动目标的良好性能。-Multi-target multi-sensor data fusion IMM_MSPDA association algorithm, the algorithm results show that the multiple model algorithm for tracking maneuvering targets good performance.
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设计一个由自动测试排序算法性能（比较次数compare_count、交换次数exchange_count、探测次数probe_count）的测试类和排序类构成的类体系。
注：用一个类来描述一个排序算法，类中的sort方法通过调用比较、交换方法来实现数组排序。排序类放入一个特定的包MySort中。-Design a sorting algorithm by automatic test performance (compare the number of compare_count, the
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This project compares the performance of SOM versus LVQ in classification problems.
Given two data sets:
‘iris.dat’ has 150 patterns of 3 classes with 4 features.
‘wine.dat’ has 178 patterns of 3 classes with 13 features.
For SOM, use its alg
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用其中一半的数据采用ANN-BP算法设计分类器，另一半数据用于测试分类器性能。-Half of the data used by ANN-BP algorithm design classifier, the other half of the data used to test the classifier performance.
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Clark等人提出的广义预测控制自校正控制器是一种基于参数模型的预测控制算法，它采用了时段优化性能指标，结合辨识和自校正机制，从而克服自校正控制中存在的，本代码提供基于丢番图推导的单变量GPC程序-Clark and others proposed self-tuning generalized predictive control is a controller parameter model based predictive control algorithm, it uses time s
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空间谱估计算法MUSIC算法和Capon算法的性能比较。图像有直方图和圆极化图两种-MUSIC spatial spectrum estimation algorithm and compare the performance of Capon algorithm. Image with histogram and the two circular polarization map
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采用贝叶斯正则化算法提高bp网络的性能，即L-M优化算法-The use of Bayesian regularization algorithm to improve network performance bp, that is, LM optimization algorithm
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压缩感知里面的稀疏重建问题，在原来MP的算法的基础上，提出了分块的思想，即将原子库分块后，测试算法的性能。-Compressive sensing is refered as the block sparse algorithm is described,that is based on the original MP algorithm,and the atom libruary is divided into blocks ,and the performance is testified.
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在N=128时采用次优化迭代算法的PTS法与普通PTS法的PAPR性能比较。仿真参数：QPSK调制，V=4，P=4，取 。从程序的运行时间可知，采用次优化迭代算法，PTS法的复杂性可以大大降低。-In the N = 128 used sub-optimal iterative algorithm method and the general PTS PTS PAPR performance comparison method. Simulation parameters: QPSK modul
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对噪声信号中的正弦信号，通过Pisarenko谐波分解方法、Music算法和Esprit算法进行频率估计，信号源是： 其中， ， ， ； 是高斯白噪声，方差为 。使用128个数据样本进行估计。 1、用三种算法进行频率估计，独立运行20次，记录各个方法的估计值，计算均值和方差； 2、增加噪声功率，观察和分析各种方法的性能。-Sinusoidal signal in the noise signal through the Pisarenko harmonic decomposition metho
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MIMO系统线性检测算法误码率性能的脚本，包括MMSE, ZF，MF等。只需输入接受天线个数、发送天线个数即可。
-MIMO system bit error rate performance of linear detection algorithm scr ipt, including the MMSE, ZF, MF. Simply enter the number of receiving antennas, the number of transmit antennas.
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核聚类算法FCM算法及性能分析,有图片,FCM模糊C均值图象,有窗体-Kernel clustering algorithm FCM algorithm and performance analysis, pictures, FCM fuzzy C means the image has the form
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交互式多模型算法的matlab程序，用于混合系统估计的多模型方法，在跟踪器设计过程中，目标模型的选择将直接关系到滤波性能的好坏。
-Interactive multiple model algorithm matlab program for hybrid systems is estimated that the multi-model approach, in the tracker design process, the object model will have a direct
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Capon提出MVDR（Minimum Variance Distortionless Response）高分辩方位估计方法以来，MVDR以其简单的算法、良好的性能得到了广泛关注，是一种具有良好实用前景的数字波束形成方法。-Capon proposed MVDR (Minimum Variance Distortionless Response) high resolution DOA estimation methods since, MVDR algorithm with its easy,
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JPDA用来进行多目标跟踪的JPDA算法的MATLAB程序包. 跟踪效果还行-JPDA used for multi-target tracking JPDA algorithm MATLAB package tracking performance is also OK
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资源调度算法。业务在PF准则下的调度性能。-Resource allocation algorithm. Business performance of PF scheduling criteria.
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神经元网络抵消算法。算法收敛快，性能稳定。-Offset algorithm for neural networks. Algorithm for fast convergence and stable performance.
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该MATLAB程序评估了viterbi算法在衰落信道下的卷积译码的性能，包含卷积编解码，衰落信道，维特比算法等.m程序-The MATLAB program to assess the viterbi algorithm in fading channels the performance of convolutional decoding, including the convolution coding and decoding, fading channels, Viterbi algor
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This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowled
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数据结构中有关查找和排序，以flash格式表现算法是如何实现的。-Data structure relating to search and sort to flash format of the performance of algorithm is how to achieve.
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