共查询到20条相似文献，搜索用时 156 毫秒
1.
提出基于空间平滑技术的高阶累积量空间谱估计。在经典的空间谱估计中,均利用信号的二阶统计量,并且假设噪声是白噪声。在实际应用场合,噪声通常是色噪声,这时采用高阶统计量可以获得比二阶矩更理想的性能。本文利用空间平滑技术对单一的高阶累积量算法进行改进。新算法具有同时测向能力、测向精度高、超分辨能力,能在低信噪比环境中取得好的性能。计算机仿真证明了该方法的有效性。 相似文献
2.
《科技通报》2015,(8)
在浓雾环境下采集的视觉图像出现突兀点,需要进行平滑处理,提高对浓雾环境下的图像成像和识别能力。传统方法中采用差频控制的浓雾图像突兀点平滑处理算法,图像采集出现视觉偏移时平滑处理效果不好。提出一种基于视觉偏移修正的浓雾图像突兀点平滑处理算法,基于浓雾天气条件下单色大气散射模型,物体表面的反射光由于大气粒子的散射而损失,得到雾点散射损失,采用视觉偏移修正的算法,提高对浓雾图像的视觉偏移修正能力,由于起点坐标和视线方向出现视觉偏移,采用去雾滤波算法提高突兀点的平滑性能,得到浓雾图像的去雾滤波系统函数,通过边缘检测得到图像的突兀点平滑结构,进行Hough变换直线检测,实现视觉偏移修正和突兀点平滑改进。仿真结果表明,该算法具有较好的突兀点平滑处理性能,无论是细节还是浓雾图像的色彩都恢复得比较自然和清晰,去雾效果较好,平滑处理的图像有较高的配准率,展示了该算法的优越性能。 相似文献
3.
由于分层空时码具有良好的频谱利用率和码速率,因此WIFI无线局域网系统中采用分层空时码.排序串行干扰信号检测算法具有良好的检测性能,但其译码复杂度很高.并行干扰消除算法虽然译码简单但其检测性能比较差.本文在并行干扰消除算法的基础上,提出了一种具有低复杂度且检测性能优良的算法.在WIFI无线信道A、B、F模型条件下仿真,结果表明,该算法具有良好的检测性能且复杂度最低. 相似文献
4.
针对并行遗传算法中计算资源的分配问题,采用遗传算法和多智能体技术相结合的方法,实现了基于粗粒度的并行GA算法结构,该方法有利于改进遗传算法的性能,提高遗传算法搜索的效率. 相似文献
5.
介绍了蚁群爬山法(ACH)的基本原理和方法,分析了该算法存在的不足之处,提出了针对这种算法的并行化改进方案,从整体性能和局部性能上都进行了良好的并行改进处理.改进后的算法有较强的并行化能力,实现了很好的负载平衡,并且在很大程度上减少了计算量和网络通信量,提高了算法的效率,可广泛应用于对海量数据的挖掘和处理. 相似文献
6.
提出一种基于高阶贝塞尔函数预测控制的路由空洞填补算法,进行移动网络电磁波通信路由协议设计,设计高阶贝塞尔函数特性及预测控制技术,采用高阶贝塞尔函数预测控制技术,通过移动网络电磁波通信网进行信息传输,产生不同的层次分类属性,实现对空洞填补算法改进。实验结果表明,算法能使路由空洞空间支路减少,边缘空间增益得到有效控制,降低误码率,提高移动网络电磁波通信系统的通信性能。 相似文献
7.
本文对传递对准性能评估技术进行了介绍,并对两种最优平滑估计算法进行了分析比较,最后提出了采用区间平滑算法实现的传递对准评估数学模型及评估工作流程,对于工程应用具有指导意义。 相似文献
8.
本文针对当前Ad Hoc网络路由的特点,在Ad Hoc路由优化算法基础上提出一种改进的蚁群算法.该算法首先将影响蚁群算法性能的参数作为遗传算法中的染色体,通过迭代找出最优的参数组合,然后对区域节点采用动态邻域分解的同时进行并行优化计算,最后将各子区域进行邻域全局连接得到最优解,该算法体现"分而治之"的思想.实验仿真结果表明,改进算法有效地提高了网络传输性能和通信效率,在性能上较基本蚁群算法有更大的优势. 相似文献
9.
10.
11.
Comparative performance analysis of artificial bee colony algorithm for automatic voltage regulator (AVR) system 总被引：1，自引：0，他引：1
In this study, Artificial Bee Colony (ABC) algorithm is applied to the Automatic Voltage Regulator (AVR) system for obtaining optimal control. The tuning performance of this algorithm and its contribution to the robustness of the control system are also extensively and comparatively investigated. In the performance analysis, Particle Swarm Optimization (PSO) algorithm and Differential Evolution (DE) algorithm are used for the purpose of comparison. These analyses are realized by benefiting from different analysis methods such as transient response analysis, root locus analysis, bode analysis and statistically Receiver Operating Characteristic (ROC) analysis. Afterwards, the robustness analysis is applied to the AVR system, which is tuned by ABC algorithm in order to determine its response to changes in the system parameters. At the end of the study, it is shown that the ABC algorithm is successfully applied to the AVR system for improving the performance of the controller and shows a better tuning capability than the other similar population based optimization algorithms for this control application. 相似文献
12.
为去除网络入侵数据集中的冗余和噪声特征,降低数据处理难度和提高检测性能,提出一种基于特征选择和支持向量机的入侵检测方法。该方法采用提出的特征选择算法选取最优特征组合,并以支持向量机为分类器建立模型,应用于入侵检测系统。仿真结果表明,本文方法不仅可以减少特征维数,降低训练和测试时间,还能提高入侵检测的分类准确率。 相似文献
13.
Emotional expression and understanding are normal instincts of human beings, but automatical emotion recognition from speech without referring any language or linguistic information remains an unclosed problem. The limited size of existing emotional data samples, and the relative higher dimensionality have outstripped many dimensionality reduction and feature selection algorithms. This paper focuses on the data preprocessing techniques which aim to extract the most effective acoustic features to improve the performance of the emotion recognition. A novel algorithm is presented in this paper, which can be applied on a small sized data set with a high number of features. The presented algorithm integrates the advantages from a decision tree method and the random forest ensemble. Experiment results on a series of Chinese emotional speech data sets indicate that the presented algorithm can achieve improved results on emotional recognition, and outperform the commonly used Principle Component Analysis (PCA)/Multi-Dimensional Scaling (MDS) methods, and the more recently developed ISOMap dimensionality reduction method. 相似文献
14.
在数字通信中,接收信号通常会受到码间干扰的影响,尤其是在多径衰弱无线信道环境中,这种现象更为严重。采用盲均衡技术可以消除码间干扰。针对基于常数模算法的判决反馈盲均衡收敛速度慢,稳态误差大的缺点,提出了一种新的多模判决反馈盲均衡算法。算法用信号的独立模值取代常数模算法的模值,加快了收敛速度减小了稳态误差。通过计算法仿真对两种算法进行比较,仿真结果证明了新算法的有效性。 相似文献
15.
给出一种结合梯度法和正交遗传算法的混合算法。实验表明,它通过对问题的解空间交替进行全局和局部搜索,能更有效地求解函数优化问题。 相似文献
16.
《Journal of The Franklin Institute》2023,360(12):7645-7675
Recently, the augmented complex-valued normalized subband adaptive filtering (ACNSAF) algorithm has been proposed to process colored non-circular signals. However, its performance will deteriorate severely under impulsive noise interference. To overcome this issue, a robust augmented complex-valued normalized M-estimate subband adaptive filtering (ACNMSAF) algorithm is proposed, which is obtained by modifying the subband constraints of the ACNSAF algorithm using the complex-valued modified Huber (MH) function and is derived based on CR calculus and Lagrange multipliers. In order to improve both the convergence speed and steady-state accuracy of the fixed step size ACNMSAF algorithm, a variable step size (VSS) strategy based on the minimum mean squared deviation (MSD) criterion is devised, which allocates individual adaptive step size to each subband, fully exploiting the structural advantages of SAF and significantly improving the convergence performance of the ACNMSAF algorithm as well as its tracking capability in non-stationary environment. Then, the stability, transient and steady-state MSD performance of the ACNMSAF algorithm in the presence of colored non-circular inputs and impulsive noise are analyzed, and the stability conditions, transient and steady-state MSD formulas are also derived. Computer simulations in impulsive noise environments verify the accuracy of theoretical analysis results and the effectiveness of the proposed algorithms compared to other existing complex-valued adaptive algorithms. 相似文献
17.
在文本检索过程中充分利用词语之间的上下文关系有助于提高检索性能.首先对已有的相关工作进行综述;然后针对已有研究对词语上下文关系应用不足的现状,提出一种基于词语上下文关系的文本检索算法;最后通过实验对该算法进行验证. 相似文献
18.
预研项目的中止决策是我国军队预研管理工作中的薄弱环节。提出了一种遗传算法和BP算法相结合的改进神经网络模型,利用这种方法进行预研项目的中止决策,可以使网络收敛速度加快和避免局部极小。以收集到的样本为例,对该方法进行实证研究,证明了该方法的有效性。 相似文献
19.
Efficient depth selection for the implementation of noisy quantum approximate optimization algorithm
《Journal of The Franklin Institute》2022,359(18):11273-11287
Noise on near-term quantum devices will inevitably limit the performance of Quantum Approximate Optimization Algorithm (QAOA). One significant consequence is that the performance of QAOA may fail to monotonically improve with control depth. In principle, optimal depth can be found at a certain point where the noise effects just outweigh the benefits brought by increasing the depth. In this work, we propose to use the regularized model selection algorithm to identify the optimal depth with just a few iterations of regularization parameters. Numerical experiments show that the algorithm can efficiently locate the optimal depth under relaxation and dephasing noises. 相似文献
20.
文本聚类算法的质量评价 总被引：4，自引：0，他引：4
文本聚类是建立大规模文本集合的分类体系实例的有效手段之一。本文讨论了利用标准的分类测试集合进行聚类质量的量化评价的手段，选择了k-Means聚类算法、STC（后缀树聚类）算法和基于Ant的聚类算法进行了实验对比。对实验结果的分析表明，STC聚类算法由于在处理文本时充分考虑了文本的短语特性，其聚类效果较好；基于Ant的聚类算法的结果受参数输入的影响较大；在Ant聚类算法中引入文本特性可以提高聚类结果的质量。 相似文献