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由磁悬浮小球的状态空间模型计算出其鲁棒控制器，并在simulink模型中对鲁棒控制器的性能进行了验证。(Magnetic levitation ball from the state-space model to calculate the robust controller and in simulink model for robust controller performance is verified.)

Processing of Image Files by: using Photoshop to crop images. Then, use MATLAB to: Convert images into a transformed domain and Design 2D filters for further analysis.

Block model of a phase locked loop implemented in Simulink. Step 2 of a series of 5 developed models.

matlab progrmas for FEM

说明：  基于强化学习的机器人寻路，以方格地图为环境(reinforcement learning apply in the robatics)

Collection of antenna assignments

一个身体部位比较模型的新方法网络（BAN）的，可以容纳多个环节和多个科目。所述的绝对测量允许跨频谱可能刻画的比较 从单参数为整个合奏，通过基于参数化到每个活动，每个学科和每个环节模型。使用错误，并明确之间权衡复杂性，在一个善良的适应措施相结合，显示有重要的影响时，适用于一系列典型的禁止通道数据。它是有不同的 在模式的选择的影响，以及它相关的复杂性，混合活动的“日常”的数据，设置活动相比，动态数据（例如步行）。平均路径损耗的不足，甚至位数的路径损失的措施，作为唯一的表征还强调“禁止通道。 (A new approach to compare models for body area networks (BAN) that accommodates multiple links and multiple subjects is presented. The absolute measure described allows comparison across a spectrum of possible characterizations ranging from single-parameter for an entire ensemble, through to per-activity, per-subject and per-link based parameterized models. The use of an explicit trade-off between error and complexity, combined in a goodness-of-fit measure, is shown to have important consequences when applied to a range of typical BAN channel data. It is shown that there are different implications in choice of model, and it’s associated complexity, for mixed-activity “everyday” data, when compared with set-activity dynamic data (e.g. walking). The deficiency of mean path loss, or even median path loss measures, as a sole characterization of the BAN channel is also highlighted.)

实际上，这上面有图像的matlab处理，JAVA的图像处理和VC++ 的图像处理。非常有价值的。呵呵(In fact, there are images that matlab processing, JAVA image processing and VC++ for image processing. Very valuable. Ha ha)

采用ALR修复ETM+ slc-off影像。(It use the method of ALR to repair ETM+ slc-off image.)

遗传算法寻优寻优，（调用matlab自带函数）解决一般系统的参数设定问题。(Genetic algorithm optimization optimization (call matlab own functions) to solve the general system parameter setting.)