CoSaMP

说明：  侦察无人机搭载SAR设备对静止目标进行跟踪，进行了侦察路径的规划仿真。(The reconnaissance UAV carries on the SAR equipment to track the static target, and carries on the reconnaissance path planning simulation.)

面包板模型程序，引用通过面包板模型得到几个因素对另一个因素的影响因子(Breadboard model program, cited several factors to get another factor influencing factors breadboard model by)

SVG静止无功补偿的模型，运用瞬时无功电流控制方法进行补偿(SVG static var compensation model, the use of instantaneous reactive current control method to compensate)

,在强干扰中提取信号,不仅要求有一定的信噪比,而且必须对信号作恒虚警处理.在自动检测系统中,对一定的检测门限来说,当干扰电平增大几分贝,虚警率就会大大增加,致使显示器画面饱和或计算机过载,这时即使有足够大的信噪比,也不可能做出正确的判决.为此在自动检测雷达中,必须具备恒虚警处(, extracting signal in strong interference, not only requires a certain signal-to-noise ratio, and must make constant false alarm processing for signal. In the automatic detection system, for a certain detection threshold, when the noise level increases, a few decibels will greatly increase the false alarm rate, led display screen saturated or computer overload, even if there is enough SNR at this moment, it is impossible to make the right decision. Therefore in the automatic detection of radar, must have a constant false alarm)

图像处理，菌斑提取的源代码 可以提供参考(Image processing, plaque extract the source code can provide a reference)

说明：  matlab的学习教程，ppt格式，直接查看(matlab ppt)

实现机动目标的跟踪与预测matlab代码。希望对大家有用。(Maneuvering target tracking and prediction matlab code. I hope useful.)

实现ID3算法，在结果中以树表示出来。决策树是对数据进行分类，以此达到预测的目的。该决策树方法先根据训练集数据形成决策树，如果该树不能对所有对象给出正确的分类，那么选择一些例外加入到训练集数据中，重复该过程一直到形成正确的决策集。(ID3 algorithm to achieve, in the results that come out to the tree. Decision tree is to classify the data, thus achieving the purpose of prediction. The decision tree training set of data according to the formation of the first decision tree, if the tree can not give the correct classification of all objects, then select a number of exceptions to the training set data, repeat the process until the correct decision set.)

是对于是128*128灰度图片的压缩MATLAB代码,希望有人会有用(For 28* 123 gray image compression MATLAB code, hope someone will be useful for)

说明：  用新的参数估计方法对正态分布的delta和α进行更为准确的估计。(With a new method of parameter estimation of the delta-normal distribution and α for a more accurate estimate.)