搜索资源列表
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时变参数的粒子群优化的matlab实现,可用于解决多种连续优化问题-A flexible implementation of PSO algorithm with time-varying parameters. Algorithm is suitable for solving continuous optimization problems. Special care has been taken to enable flexibility of the algorthm with resp
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在windows下的Floyd-Warshall与johnson算法及性能比较-Under the windows with the Floyd-Warshall algorithm and performance comparison johnson
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自己写的,采用VB.NET编写的快排序算法的性能分析,VS2005下编译通过-Wrote it myself, using VB.NET prepared fast sorting algorithm performance analysis, VS2005 compiler through the next
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页面置换算法设计和实现最佳置换算法、随机置换算法、先进先出置换算法、最近最久未使用置换算法、简单Clock置换算法及改进型Clock置换算法;通过支持页面访问序列随机发生实现有关算法的测试及性能比较。-Page replacement algorithm design and realization of the best replacement algorithm, random permutation algorithm, FIFO replacement algorithm, the mo
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新三步搜索算法考虑了块矢量中心偏移的特性,在初步搜索时对中心周围的
位置同时做了匹配运算。在物体做小范围运动时,这种改进很有效,可以大大减少运算量,然而,在物体做大范围运动时,这种改进却带来了额外的运算量。现实的情况经常是物体既有小范围的偏移,也有大范围的运动。因此,在考虑块匹配算法时,既要照顾块的中心偏移特性,也要兼顾块的大范围运动。四步搜索 (Four-Step Search FSS)能够兼顾两种情况,可以得到较好的性能。
-The new three-step search alg
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用遗传算法对光纤位移传感器的实验数据进行拟合,使用精英保留策略提高算法性能-Genetic algorithm with fiber-optic displacement sensor to fit the experimental data, the use of elite strategies to improve retention of algorithm performance
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In this Mfile, I want to investigate the performance of LSE algorithm in
OFDM channel estimation with methods of equalizations like MRC and ZF.
For further information see the "Xiaodong Cai and Georgios B. Giannakis, Error Probability Minimizing
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这是几个常用的测试函数,通过这个测试函数可以比较算法性能的优劣。-This is a test of several commonly used functions, through this test function can compare the algorithm performance is good or bad.
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这是另外几个测试函数,通过这个测试函数可以比较算法性能的优劣。-This is another test a few functions, through this test function can compare the algorithm performance is good or bad.
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利用MATLAB仿真软件对LMS和RLS两种算法进行仿真,通过仿真比较了两种算法的收敛速度,对两种算法收敛后的误码率进行分析,研究了步长对LMS算法均方误差性能曲线的影响和遗忘因子对RLS算法性能曲线的影响。-Using MATLAB simulation software for two types of LMS and RLS algorithm simulation, the simulation compares the convergence rate of two algorithm
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关于自适应滤波的算法仿真,其中应用了LMS算法和RLS算法,也比较了他们的性能-Adaptive filtering algorithms on the simulation, which applied the LMS algorithm and RLS algorithm, also compare the performance of their
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对于几个流行的算法(prefix sum,matrix multiplication,Gaussian elimination,Sieve of Eratosthenes)的串行算法和openMP并行算法的代码,以及性能测试的实验报告-For several popular algorithms (prefix sum, matrix multiplication, Gaussian elimination, Sieve of Eratosthenes) of the serial algori
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文化算法的MATLAB实现。实验结果表明该算法具有良好的性能。-MATLAB implementation of cultural algorithms. Experimental results show that the algorithm has good performance.
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仿真(n,k,m)非系统卷积码的桶式堆栈算法(Stack-Bucket Algorithm)序列译码在AWGN信道条件下的误码性能,信噪比区间、卷积码参数、生成序列以及吊桶大小、堆栈大小等算法参数均可以自己设定。-Simulation (n, k, m) non-systematic convolutional codes of the barrel stack algorithm (Stack-Bucket Algorithm) sequence decoding in the AWGN ch
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自适应滤波器算法,包括LMS算法和RLS算法,两者进行了对比,从而得到性能的比较-Adaptive filter algorithms, including LMS algorithm and RLS algorithm, the two were compared in order to be comparative performance
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遗传算法作为具有系统优化、适应和学习的高性能计算和建模方法的研究渐趋成熟。在介绍遗传算法的产生和发展历史之后,慨述厂遗传算法的理论和应用情况-Genetic algorithm as a system optimization, adaptation and learning of high-performance computing and modeling method of maturing. In introducing the genetic algorithm generation
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均衡技术是克服码间干扰(Inter-Symbol Interference,ISI)的有效措施,由于信道特性的随机性与时变性,实际中消除码间干扰最常用的是自适应均衡器。本文对基于最小均方(Least Mean Squares,LMS)算法和递推最小二乘(Recursive Least Squares,RLS)算法的自适应均衡器进行仿真研究,分析了信道特性与设计参数对自适应均衡器的收敛速度与稳态性能的影响。
-Equalization technique is to overcome inte
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课程设计两个程序:一:数据帧(程序每帧设置为400bit)在有扰信道传输时,采用Turbo码进行编译码。并仿真Log-MAP译码算法在不同迭代次数下的性能。
二:实现有扰信道中,不同信噪比下,采用MAP译码算法的Turbo码的性能。
以上各主程序均有做比较详细的程序注释
可直接运行turbo_main.m或LogMAP.m,稍等片刻即可观察到仿真结果
-two programs of Curriculum design : a: Data frames
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fcm聚类算法,功能函数大全,希望对大家有很好的帮助,这样就值了,-fcm clustering algorithm, performance function Daquan, hope you have a good help, so that the value of, thank you
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算法性能分析的课程设计,通过多次执行统一算法,实现对几种排序算法的测定-Algorithm Performance Analysis of curriculum design, through implementation of the unified algorithm several times to achieve the determination of several sorting algorithms
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