FIR_pinlv

说明：  LS算法在宽带自适应波束形成中的MATLAB实现(LS algorithm in broadband adaptive beamforming in MATLAB to achieve)

NOISE FILTER DEScrition

说明：  kmeans程序，用以各种方面聚类分析，诸如入侵检测和图像等。(kmeans method，used in many fields， such as intrusion detection, imag segmentation and etc. )

这是一个进行卫星轨道预报的程序。导航卫星；自主轨道预报；状态转移矩阵。无错误(This is a satellite orbit prediction program. Navigation Satellite autonomous orbit prediction state transition matrix. No error)

MATLAB编的贪吃蛇，可以算则难度，地图，有音乐。一个不错的小程序。(MATLAB code of the Snake, you can count the degree of difficulty, maps, musical. A nice little program.)

Gaussian mixture model to subtract background

Matrix multiplication for two input matrices

matlab codes for beamforming

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.)

贝叶斯推断程序包，利用贝叶斯分析的方式通过少量观测数据实现可靠性分析(Bayesian Inference Package. Bayesian analysis is used as a reliable method for analyzing GLM when there are only few observations)