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提出了一种基于粒子滤波的自适应运动目标跟踪方法。均值漂移算法是一种最优梯度下降法，通过
迭代来搜索目标，从而实现对运动目标的跟踪。-Adaptive moving target tracking method based on particle filter. The mean-shift algorithm is an optimal gradient descent method, through an iterative search for the target in order t
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基于粒子滤波和自适应模型的目标跟踪算法,可以有效提高粒子滤波的准确性和稳定性.-Adaptive model based on particle filtering and target tracking algorithm can effectively improve the accuracy and stability of the particle filter.
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关于粒子滤波算法在目标跟踪时的学习文章，涵盖原理及算法实现-Particle filter algorithm in the target tracking learning articles, covering the principle and algorithm
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多目标跟踪的粒子滤波器，本科毕设要求参见标准测试模型，多姿态，多角度，有不同光照。- Multi-target tracking particle filter, Undergraduate complete set requirements refer to the standard test models, Much posture, multi-angle, have different light.
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多目标跟踪的粒子滤波器，空间目标识别，采用PM算法，分数阶傅里叶变换计算方面。- Multi-target tracking particle filter, Space target recognition algorithm using PM, Fractional Fourier transform computing.
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重要参数的提取，信号处理中的旋转不变子空间法，多目标跟踪的粒子滤波器。- Extract important parameters, Signal Processing ESPRIT method, Multi-target tracking particle filter.
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保证准确无误，是学习通信的好帮手，一个计算声子晶体结构的一维传递矩阵法,多目标跟踪的粒子滤波器。- Ensure accurate communication is learning a good helper, A one-dimensional transfer matrix method to calculate the phonon crystal structure, Multi-target tracking particle filter.
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多目标跟踪的粒子滤波器，基于负熵最大的独立分量分析，sar图像去噪的几种新的方法。- Multi-target tracking particle filter, Based on negative entropy largest independent component analysis, Several new methods sar image denoising.
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具有丰富的参数选项,利用matlab GUI实现的串口编程例子，多目标跟踪的粒子滤波器。- It has a wealth of parameter options, Use serial programming examples matlab GUI implementation, Multi-target tracking particle filter.
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进行波形数据分析,包含特征值与特征向量的提取、训练样本以及最后的识别，多目标跟踪的粒子滤波器。- Waveform data analysis, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Multi-target tracking particle filter.
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