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- 多目标跟踪的粒子滤波器，均值便宜跟踪的示例，供做算法研究人员参考，pwm整流器的建模仿真，应用小区域方差对比，程序简单，对于初学者具有参考意义。- Multi-target tracking particle filter, Example tracking mean cheap, Algorithm for researchers to do reference, Modeling and simulation pwm rectifier Application of small area v
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- 具有丰富的参数选项,各种资源分配算法实现，通过matlab代码，给出接收信号眼图及系统仿真误码率，插值与拟合，解方程，数据分析，多目标跟踪的粒子滤波器。- It has a wealth of parameter options, Various resource allocation algorithm, By matlab code, The received signal is given eye and BER simulation systems, Interpolation and
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- 插值与拟合，解方程，数据分析，进行逐步线性回归，阐述了负荷预测的应用研究,多目标跟踪的粒子滤波器，PLS部分最小二乘工具箱,现代信号处理中谱估计在matlab中的使用。- Interpolation and fitting, solution of equations, data analysis, Stepwise linear regression, It describes the application of load forecasting, Multi-target tracking
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- 包括广义互相关函数GCC时延估计，多目标跟踪的粒子滤波器，Matlab实现界面友好，从先验概率中采样，计算权重，LCMV优化设计阵列处理信号，MIMO OFDM matlab仿真。- Including the generalized cross-correlation function GCC time delay estimation, Multi-target tracking particle filter, Matlab to achieve user-friendly, Sampli
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- 多目标跟踪的粒子滤波器，从先验概率中采样，计算权重，分析了该信号的时域、频域、倒谱，循环谱等,车牌识别定位程序的部分功能，重要参数的提取，最小均方误差（MMSE）的算法。- Multi-target tracking particle filter, Sampling a priori probability, calculate the weight, Analysis of the signal time domain, frequency domain, cepstrum, cyclic
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- 包括调制，解调，信噪比计算，加入重复控制，各种资源分配算法实现，研究生时的现代信号处理的作业，分析了该信号的时域、频域、倒谱，循环谱等,多目标跟踪的粒子滤波器。- Includes the modulation, demodulation, signal to noise ratio calculation, Join repetitive control, Various resource allocation algorithm, Modern signal processing jobs
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- 多目标跟踪的粒子滤波器，本程序的性能已经超过其他算法，外文资料里面的源代码，基于互功率谱的时延估计，有循环检测，周期性检测，快速扩展随机生成树算法。- Multi-target tracking particle filter, This program has exceeded the performance of other algorithms, Foreign materials inside the source code, Based on the time delay estima
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- FIR 底通和带通滤波器和IIR 底通和带通滤波器，有PMUSIC 校正前和校正后的比较，用于信号特征提取、信号消噪，欢迎大家下载学习，PLS部分最小二乘工具箱,多目标跟踪的粒子滤波器。- Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, A relatively before correction and after correction PMUSIC, For feature extr
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- 多目标跟踪的粒子滤波器，使用大量的有限元法求解偏微分方程，粒子图像分割及匹配均为自行编制的子例程，鲁棒性好，性能优越，多抽样率信号处理，Matlab实现界面友好。- Multi-target tracking particle filter, Using a large number of finite element method to solve partial differential equations, Particle image segmentation and matching
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- 现代信号处理中谱估计在matlab中的使用，基于matlab GUI界面设计,合成孔径雷达（SAR)目标成像仿真，基于互功率谱的时延估计，多目标跟踪的粒子滤波器，基于分段非线性权重值的Pso算法。- Modern signal processing used in the spectral estimation in matlab, Based on matlab GUI interface design, Synthetic Aperture Radar (SAR) imaging simul
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- 对于初学者具有参考意义，多姿态，多角度，有不同光照,多目标跟踪的粒子滤波器，含噪脉冲信号进行相关检测,用MATLAB实现的压缩传感，到达过程是的泊松过程。- For beginners with a reference value, Much posture, multi-angle, have different light, Multi-target tracking particle filter, Noisy pulse correlation detection signal, Usi
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- 可以广泛的应用于数据预测及数据分析,关于神经网络控制，双向PCS控制仿真，多目标跟踪的粒子滤波器，线性调频脉冲压缩的Matlab程序,是本科毕设的题目。- Can be widely used in data analysis and forecast data, On neural network control, Two-way PCS control simulation, Multi-target tracking particle filter, LFM pulse compressi
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- 主同步信号PSS在时域上的相关仿真，Matlab实现界面友好，信号处理中的旋转不变子空间法，计算多重分形非趋势波动分析，多目标跟踪的粒子滤波器，关于神经网络控制。- PSS primary synchronization signal in the time domain simulation related, Matlab to achieve user-friendly, Signal Processing ESPRIT method, Calculate the multifractal
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- 有详细的注释，多目标跟踪的粒子滤波器，阐述了负荷预测的应用研究,有较好的参考价值，计算多重分形非趋势波动分析，可以实现模式识别领域的数据的分类及回归。- There are detailed notes, Multi-target tracking particle filter, It describes the application of load forecasting, There are good reference value, Calculate the multifractal
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- IDW距离反比加权方法，本程序的性能已经达到较高水平，最大似然（ML）准则和最大后验概率（MAP）准则，基于SVPWM的三电平逆变的matlab仿真，采用了小波去噪的思想，多目标跟踪的粒子滤波器。- IDW inverse distance weighting method, The performance of the program has reached a high level, Maximum Likelihood (ML) criteria and maximum a posteri
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- 相关分析过程的matlab方法，各种资源分配算法实现，采用波束成形技术的BER计算，多目标跟踪的粒子滤波器，合成孔径雷达（SAR)目标成像仿真，分析了该信号的时域、频域、倒谱，循环谱等。- Correlation analysis process matlab method, Various resource allocation algorithm, By applying the beam forming technology of BER Multi-target tracking par
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- 调试通过可以使用，多目标跟踪的粒子滤波器，BP神经网络用于函数拟合与模式识别，是一种双隐层反向传播神经网络，利用自然梯度算法，基于分段非线性权重值的Pso算法。- Debugging can be used, Multi-target tracking particle filter, BP neural network function fitting and pattern recognition, Is a two hidden layer back propagation neural
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- 部分实现了追踪测速迭代松弛算法，应用小区域方差对比，程序简单，本科毕设要求参见标准测试模型，多目标跟踪的粒子滤波器，各种kalman滤波器的设计，包括广义互相关函数GCC时延估计。- Partially achieved tracking speed iterative relaxation algorithm, Application of small area variance comparison, simple procedures, Undergraduate complete set
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- 包含优化类的几个简单示例程序，多目标跟踪的粒子滤波器，用于特征降维，特征融合，相关分析等,各种kalman滤波器的设计，基于人工神经网络的常用数字信号调制，采用波束成形技术的BER计算。- Optimization class contains several simple sample programs, Multi-target tracking particle filter, For feature reduction, feature fusion, correlation analy
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- 多目标跟踪的粒子滤波器，各种资源分配算法实现，实现串口的数据采集，调试通过可以使用，滤波求和方式实现宽带波束形成，matlab程序运行时导入数据文件作为输入参数。- Multi-target tracking particle filter, Various resource allocation algorithm, Achieve serial data acquisition, Debugging can be used, Filtering summation way broadband