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该程序是用Ｃ编写的ＲＭ码的编译码算法，用于仿真ＡＷＧＮ信道下的性能．-that the procedure was used to prepare the RM C code encryption algorithm for simulation AWGN channel performance.
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采用二次型性能指标学习算法的PID控制程序，欢迎下载。-The use of quadratic performance index of the learning algorithm PID control procedures, please download.
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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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为了进一步提高直接序列／跳频（ＤＳ／ＦＨ）扩频系统的抗干扰能力，基于小波包变换结合递归最小二乘算法设计
了一种变换域自适应干扰抑制算法，该算法采用小波包分解定位窄带干扰，递归最小二乘算法抑制窄带干扰。通过蒙特卡
罗仿真分析在增加抗干扰模块后，ＤＳ／ＦＨ系统工作在准静态时，在不同信噪比条件下抗窄带干扰性能。仿真结果表明：该
算法具有较强的自适应性以及抗窄带干扰能力，其性能优于传统的直接置零法，适用于多音干扰下的恶劣通信环境。-In order to further improve th
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基于RLS算法，NLMS和LMS的自适应滤波器的MATLAB程序-LMS and RLS algorithm performance comparisons, including the right value compared with the
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干涉图的正交分析."Quadrature Component Analysis for Interferometry".-This software shows the performance of the algorithm proposed in the paper: "Quadrature Component Analysis for Interferometry".
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MUSIC算法以及运用MUSIC、ESPRIT、GEESE进行非相关源的模拟测向并比较各种算法的性能-MUSIC algorithm performance and the use of MUSIC, ESPRIT, GEESE non-relevant source analog measurement and comparison of various algorithms to
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蝙蝠算法在解决离散的生产调度问题时，具有较好的优化性能。验证了蝙蝠算法求解离散性问题的有效性以及可行性-The algorithm to solve the scheduling problem of discrete time, has better optimization performance. Verify the bat algorithm for solving the discrete problem of effectiveness and feasibility
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一种新型混合防碰撞算法，这是一篇IEEE的期刊，该算法吞吐率高。- In the performance evaluation through simulation, it shows the suggested algorithm has higher performance in the number of queries compared to other Tree-based protocols.
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人工鱼群算法完成了一系列基本功能，算法性能良好。-AFSA has completed a series of basic features, good performance of the algorithm.
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Edge detection is widely used in image processing, image recognition and computer vision. Tradition edge detection
methods have a lot of disadvantages. This paper presents a new edge detection algorithm base on Matching Pursuit
(MP). Our method h
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提出了一种新的多目标粒子群优化(MOPSO)算法，该算法采用自适应网格方法来估计非劣解集中粒子的密度信息、平衡全局和局
部搜索能力的 Pareto 最优解的搜索机制、删除品质差的多余粒子的 Archive 集的修剪技术。通过对三峡梯级多目标优化调度问题的计算，
表明该算法是求解大规模复杂多目标优化问题的一种有效手段。-A new multi-objective particle swarm optimization(MOPSO) is proposed. The proposed alg
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mvdr波束形成器MVDR是一种基于最大信干噪比（SINR）准则的自适应波束形成算法。MVDR算法可以自适应的使阵列输出在期望方向上功率最小同时信干噪比最大。将其应用于空间波数谱估计上可以在很大程度上提高分辨率和噪声抑制性能。-MVDR beamformer MVDR is an adaptive beamforming algorithm based on maximum signal to noise ratio (SINR) criterion. The MVDR algorithm ca
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利用最小二乘算法实现对三维平面的拟合，预报误差法参数辨识-松弛的思想，鲁棒性好，性能优越。- Least-squares algorithm to fit a three-dimensional plane, Prediction Error Method for Parameter Identification- the idea of relaxation, Robustness, superior performance.
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本程序的性能已经超过其他算法，各种资源分配算法实现，使用起来非常方便。- This program has exceeded the performance of other algorithms, Various resource allocation algorithm, Very convenient to use.
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基于K均值的PSO聚类算法,鲁棒性好，性能优越，gmcalab 快速广义的形态分量分析。- K-means clustering algorithm based on the PSO, Robustness, superior performance, gmcalab fast generalized form component analysis.
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对于初学matlab的同学会有帮助，供做算法研究人员参考，本程序的性能已经超过其他算法。- Matlab for beginner students will help, Algorithm for researchers to do reference, This program has exceeded the performance of other algorithms.
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svm 的参数优化，利用pso(粒子群优化算法)选择最优参数c g，最终提高训练集的分类准确率，更好的提高分类器性能-Svm parameter optimization, the use of pso (particle swarm optimization algorithm) to the optimal parameter c g, and ultimately improve the training set classification accuracy, better impr
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svm 的参数优化，利用ga(遗传优化算法)选择最优参数c g，最终提高训练集的分类准确率，更好的提高分类器性能-Svm parameter optimization, the use of ga (genetic optimization algorithm) to the optimal parameter c g, and ultimately improve the accuracy of the training set classification, better improve
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svm 的参数优化，利用ga(遗传优化算法)选择最优参数c g，最终提高训练集的分类准确率，更好的提高分类器性能,这是ga的功能函数源码-Svm parameter optimization, the use of ga (genetic optimization algorithm) to the optimal parameter c g, and ultimately improve the training set classification accuracy, better imp
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