PCMcoding

empirical mode decomposition process hilbert huang transform - Matlab You can choose number of imf for faster processing.

光伏发电模型,能实现光伏最大功率点跟踪,可以跑出仿真(Photovoltaic power generation model can realize maximum power point tracking of photovoltaic)

卡尔曼滤波算法程序 和集成学习算法程序。(Kalman filter algorithm program)

蒙特卡洛QPSK编码，画出星座图（含噪声）并将模拟误码率与理论值比较(Monte Carlo QPSK encoding, constellation diagram drawn (including noise) and simulated bit error rate compared with the theoretical value)

本函数用于实现用矩量法和海伦积分方程球解对称天线电流分布 (This function is used to achieve the solution of integral equation method of moments and Helen Ball symmetric antenna current distribution)

what makes paris likes paris会议论文的源代码(what makes paris likes paris)

说明：  本Matlab代码提供了地理坐标丰富的转换功能：涵盖了经纬度坐标转东北天坐标；经纬度坐标转地心直角坐标；地心直角坐标转东北天；地心直角坐标转经纬度的功能；(This Matlab code provides a rich conversion function of geographic coordinates: covering latitude and longitude coordinates to northeast celestial coordinates; latitude and longitude coordinates to geocentric orthogonal coordinates; geocentric rectangular coordinates to northeast heaven; geocentric rectangular coordinates to latitude and longitude;)

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.)

matlab 常见函数说明， CHM格式，查阅方便(matlab common function description, CHM format, easy access)

卡尔曼滤波算法和扩展卡尔曼滤波算法在目标跟踪到的应用(Kalman filter and extended Kalman filter algorithm to the application in target tracking)