Simpletwopathmultipthefadingchannel

本文主要介绍pazzar窗对模式识别的影响,通过编程得到在窗函数下,如何实现最佳模式识别.(this paper pazzar window of pattern recognition, to be programmed through the window function, how to achieve the best pattern recognition.)

在机动目标跟踪中，机动目标模型是机动目标跟踪的基本要素之一，一般希望机动目标模型能准确表征目标机动时的各种运动状态。比较常用的模型有匀速运动(CV)模型、匀加速运动(CA) 模型、时间相关模型（Singer）和机动目标“当前”统计模型。上述模型均采用机动频率表征目标的机动情况。在应用当中，通常采用固定的机动频率，这就表示机动目标的机动时间是一定的，而实际上机动目标的机动时间是不断变化的，也就是说机动频率是不断变化的，采用固定机动频率必然会带来误差。采样周期在0.5—2S时，机动频率越小跟踪精度越高[1]，但机动频率仍然是固定值。本文提出的基于神经网络的机动频率自适应调整方法可以使机动频率随机动而变化，从而提高状态估计的准确性，提高跟踪精度。本文将小波神经网络用于机动目标跟踪中机动频率的自适应调整，该算法对机动目标“当前”统计模型中的机动频率进行实时修改, 从而自适应的改变机动频率,使跟踪算法与目标的真实状态更接近。该算法采用小波神经网络的离线训练，实时性好。(The maneuver of the maneuvering target is uncertain. The maneuvering frequency is constantly changeable, but traditionally it is beforehand determined as a constant based on the target state estimation in the state model of the maneuvering target. The maneuver of the maneuvering target makes the kinematics equation of the target model mismatch with the practical motion model and the tracking error will be increased. Based on the advantages of the self-learning, the rapid convergence rate and the nonlinear approximation ability of the wavelet neural network, it was put forward to be used in the field of target tracking in the paper. The new residual is used as the input of the wavelet neural network, the output of the network is used to adjust adaptively the maneuvering frequency of the CS model. The algorithm is more close to the real state of the target. The simulation results showed that tracking error can be reduced and the tracking accuracy can be improved.)

是一部不错的编码，值得很多人学习,都可以看看(Is a good code, it is worth a lot of people study, may have a look)

This program can be used for plotting wavelet function.

fft傅里叶变换，将时序信号变换到频域坐标下，进行数据的模态分析(fft transform)

绘制简化sinc函数方向图，以及和差天线方向图，论文中的天线方向图模型有详细的函数形式(Map simplified sinc function direction, and the poor and the antenna pattern, the antenna direction graph model of the paper has a detailed functional form)

说明：  改进遗传算法程序，用来优化参数的选择，很好用的方法(GA)

MIMO-OFDM基于导频的信道估计的一篇硕士论文，非常不错(MIMO-OFDM channel estimation based on pilot a master' s thesis, very good)

数字语音处理及MATLAB仿真[张雪英][程序源代码](Digital audio processing and MATLAB simulation [ZhangXueYing] [source code])

两种目标类型有无脉冲积累的SNR相对检测距离的大小(Detection range With 7-pulse NCI and Single pulse)