心电信号波形的自动检测算法

Cell parameters are calculated and received power all possible transmissions are plotted

各种波形的matlab生成 可以观察波形图(Matlab various waveforms generated waveform can be observed)

这是关于卡尔曼滤波算法的matlab程序(This is on the Kalman filter algorithm matlab program)

说明：  Wind Turbine Driven Doubly-Fed Induction Generator with Grid Disconnection

Content Based Image Retrieval, CBIR

再区域内，随机画圆，并保证各个圆相切。 (draw circles in the area and all the circles are tangent)

matlab写的蛇形算法，效果很好，内附图片，通过改变输入的图像运行自己的程序。( snake algorithm with matlab , works well.)

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.)

基本的调制解调程序集(包括BPSK,QPSK,QAM,GMSK等)(Modem basic assembly (including BPSK, QPSK, QAM, GMSK, etc.))

牛拉法潮流matlab仿真算例IEEE 30-bus system(Rafah, the trend of cattle matlab simulation example IEEE 30-bus system)