Umlessencethird

说明：  These exercises and projects were originally the even-numbered exercises in the first edition. (The first edition did not distinguish between exercises and programming projects.) For the benefit of readers who have the first edition, the original exercise number is given in square brackets. For example, the notation [was #4] indicates that the number of the exercise (or programming project) was 4 in the first edition. If an answer is different because of second-edition changes, the word "modified" will appear inside the brackets: [was #4; modified].These exercises and projects were originally the even-numbered exercises in the first edition. (The first edition did not distinguish between exercises and programming projects.) For the benefit of readers(These exercises and projects were originally the even-numbered exercises in the first edition. (The first edition did not distinguish between exercises and programming projects.) For the benefit of readers who have the first edition, the original exercise number is given in square brackets. For example, the notation [was #4] indicates that the number of the exercise (or programming project) was 4 in the first edition. If an answer is different because of second-edition changes, the word "modified" will appear inside the brackets: [was #4; modified].)

约束最小二乘滤波复原 用真实的PSF函数和噪声强度作为参数进行图像复原 另一程序 盲卷积滤波复原 图像模糊化 (Constrained least squares filter to recover the PSF with the real function and the noise intensity as a parameter to another program Blind Image Restoration to recover convolution filtering of image blurring)

说明：  Unreal.Engine.4.AI.Programming.Essentials.2016 虚幻四AI编程设计。(Unreal.Engine.4.AI.Programming.Essentials.2016)

基于神经网路的六种调制信号识别，备注详细。(Modulated signal identification)

功率谱估计程序，选用一电力系统谐波信号为输入。其中包括有：burge算法，esprit算法，music算法，mvdr算法，pisarenko算法，prony算法，修正协方差算法，自相关算法。这些程序均为本人自编，并且对程序所参考书籍和页数进行了标注。经过调试，绝对正确，请放心使用。(Power spectrum estimation procedure, selection of one power system harmonics signal as input. Including: burge algorithm, esprit algorithm, music algorithm, mvdr algorithm, pisarenko algorithm, prony algorithm, as amended covariance algorithm, since the correlation algorithm. I own both of these procedures, and procedures of reference books and the number of pages have been marked. After debugging, absolutely correct, please rest assured that use.)

可以放入电机模型，直接运行，改变参数比较方便(Can be put into the motor model, direct operation, change the parameters more convenient)

信息光学数字实验室（matlab版）随书源码(Optical digital laboratory (matlab version)，the book code)

算法图解中文版全文，实例丰富，图文并茂，以简明易懂的方式阐明了算法(Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer.)

用于雷达的恒虚警检测程序,这里你可以进行雷达信号的恒虚警检测(The constant virtual police detection procedure for radar, where you can detect the constant false alarm of radar signal)

摘要: 现有的聚类算法比如 CluStream 是基于 k-means 算法的。这些算法不能够发现任 意形状的簇以及不能处理离群点。 解决上述问题,本文提出了 而且, 它需要预先知道 k 值和用户指定的时间窗口。 为了 分将数据映射到一个网格, D-Stream 算法,它是基于密度的算法。这个算法用一个在线部 在离线部分计算网格的密度然后基于密度形成簇。 度衰减技术来捕获数据流的动态变化。 为了探索衰减因子、 数据密度以及簇结构之间的关系, 我们的算法能够有效的并且有效率地实时调整簇。 群点的稀疏网格是合理的, 算法采用了密 而且, 我们用理论证明了移除那些属于离 从而提高了系统的时间和空间效率。 该技术能聚类高速的数据流 而不损失聚类质量。 实验结果表明我们的算法在聚类质量和效率是有独特的优势, 并且能够 发现任意形状的簇,以及能准确地识别实时数据流的演化行为(Abstract: Existing clustering algorithms such as CluStream are based on the k-means algorithm. These algorithms can not be found Meaningful clusters and can not handle outliers. To solve the above problems, this paper presents)