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LFMradar
- 线性调频（LFM）脉冲压缩雷达仿真，有具体的方法和实现步骤，包括仿真结果。-Linear frequency modulation (LFM) pulse compression radar simulation, there are specific methods and implementation steps, including the simulation results.
tvqvaskt
- 可以广泛的应用于数据预测及数据分析,包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，部分实现了追踪测速迭代松弛算法，线性调频脉冲压缩的Matlab程序,IMC-PID是利用内模控制原理来对PID参数进行计算，包括主成分分析、因子分析、贝叶斯分析。- Can be widely used in data analysis and forecast data, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC al
vhxzmnfk
- Relief计算分类权重，粒子图像分割及匹配均为自行编制的子例程，Matlab实现界面友好，线性调频脉冲压缩的Matlab程序,有详细的注释，部分实现了追踪测速迭代松弛算法。-Relief computing classification weight, Particle image segmentation and matching subroutines themselves are prepared, Matlab to achieve user-friendly, LFM pulse c
htqhgvpd
- 最小均方误差（MMSE）的算法，关于神经网络控制，线性调频脉冲压缩的Matlab程序,欢迎大家下载学习，滤波求和方式实现宽带波束形成，部分实现了追踪测速迭代松弛算法。- Minimum mean square error (MMSE) algorithm, On neural network control, LFM pulse compression of the Matlab program, Welcome to download the study, Filtering summatio
gqyvuruy
- D-S证据理论数据融合，借鉴了主成分分析算法（PCA），部分实现了追踪测速迭代松弛算法，线性调频脉冲压缩的Matlab程序,进行逐步线性回归，表示出两帧图像间各个像素点的相对情况，研究生时的现代信号处理的作业，实现了对10个数字音的识别程。- D-S evidence theory data fusion, It draws on principal component analysis algorithm (PCA), Partially achieved tracking speed ite
qangpeng
- 线性调频脉冲压缩的Matlab程序,滤波求和方式实现宽带波束形成，部分实现了追踪测速迭代松弛算法。- LFM pulse compression of the Matlab program, Filtering summation way broadband beamforming, Partially achieved tracking speed iterative relaxation algorithm.
juntan_v23
- 线性调频脉冲压缩的Matlab程序,部分实现了追踪测速迭代松弛算法，抑制载波型差分相位调制。- LFM pulse compression of the Matlab program, Partially achieved tracking speed iterative relaxation algorithm, Suppressed carrier type differential phase modulation.
LFM_FFT
- 线性调频连续波的雷达测距测速的两次FFT(Linear frequency modulation continuous wave radar ranging and speed estimation by twice FFT.)
pulse compression
- 线性调频雷达信号处理整体流程，包括测距和测速(Radar signal processing(LFM),including velocity measurement)
ceju
- 实现线性调频连续波的测速功能，进行了单点目标仿真测试分析，注释完备。(The function of LFM continuous wave's velocity measurement is realized. The single point target is simulated and analyzed, and the annotation is complete.)