Gravity_anomaly

八位串行乘法器 缺点：乘法功能是正确的，但计算一次乘法需要8个周期，因此可以看出串行乘法器速度比较慢、时延大。 优点：该乘法器所占用的资源是所有类型乘法器中最少的，在低速的信号处理中有广泛的使用。(Eight bit serial multiplierDisadvantages: the multiplication function is correct, but the computation of one multiplication requires 8 cycles, so it can be seen that the serial multiplier is slow and time-consuming. Advantages: the multiplier occupies the smallest number of resources in all types of multipliers, and is widely used in low speed signal processing.)

51. 图形效果（2） 52. 可控制小球运动速度的用户界面 53. 设置坐标轴宗衡轴比 54. 动态文本显示 55. 浏览流体数据 56. 简单计算器 57. 字母统计 58. 时间计算器 59. 数字操作 60. 图像的块操作 (51. Graphic effects (2) 52. Can control the speed of the ball movement the user interface 53. Set axes Munehira axial ratio 54. Dynamic text display 55. Browse the data flow 56. A simple calculator 57. Letter of statistics 58. Time calculation device 59. number of operations 60. Image Block Operation)

可以得到很精确的幅值、频率、相位估计，用于信号特征提取、信号消噪，有循环检测，周期性检测。( You can get a very accurate amplitude, frequency, phase estimation, For feature extraction, signal de-noising, There are cycle detection, periodic testing.)

计算器 能够分析表达式,看看吧,很有用的,用能挺强的,(Calculator can analyze the expression, and have a look, it s very useful and can be quite strong,)

广度优先搜索，查找不连通图。广度优先搜索算法，又译作宽度优先搜索，或横向优先搜索，是一种图形搜索算法。C语言，堆栈实现。(Breadth first search for disconnected graphs. The breadth-first search algorithm, also translated as breadth-first search or horizontal-first search, is a graphic search algorithm. C language, stack implementation.)

卡尔曼滤波是最常用的滤波算法，在信号处理中经常用到(Kalman filter is the most commonly used filtering algorithm, which is often used in signal processing.)

这本书在稀疏的多尺度图像和信号处理提出了艺术状态，包括线性多尺度变换，如小波，脊波和曲波变换、非线性、多尺度变换基于中值和数学形态学算子。最近的稀疏性和形态多样性的概念描述和利用各种问题，如去噪，反问题正规化，稀疏信号分解，盲源分离，压缩感知。 这本书的理论和实践研究相结合的领域，如天文学、生物学、物理学、数字媒体应用和取证。最后一章探讨了信号处理中的一个范式转换，表明以前的信息取样和提取的限制可以用非常重要的方法加以克服。 MATLAB和IDL代码伴随这些方法和应用程序重现。 实验并说明了在相关网站上可下载的研究的推理和方法。(This book presents the state of the art in sparse and multiscale image and signal processing, covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Recent concepts of sparsity and morphological diversity are described and exploited for various problems such as denoising, inverse problem regularization, sparse signal decomposition, blind source separation, and compressed sensing. This book weds theory and practice in examining applications in areas such as astronomy, biology, physics, digital media, and forensics. A final chapter explores a paradigm shift in signal processing, showing that previous limits to information sampling and extraction can be overcome in very significant ways.)

一类混合时滞神经网络的同步研究，值得看 去了解 混合时滞的特点(The synchronization of a class of mixed time-delay neural networks deserves a look at the characteristics of the mixed delay.)

说明：  有关应用matlab编写的有限元函数,其中包含了一些最基本的有限元的基本函数,对于应用有限元法模拟电磁场欧很大的帮助(Matlab prepared for the application of the finite element function, which contains the most basic finite element basic function, using the finite element method simulation of electromagnetic fields in Europe a great help! !)

说明：  有趣的二进制 软件安全与逆向分析学习资料，希望能绑到有需要的人(Interesting binary software security and reverse analysis learning materials, hoping to be tied to people in need)