Step-Fourier-method

基于Matlab实现了各种数字图像水印，包括小波变换、lsb等 (Based on Matlab realize a variety of digital image watermarking, including the wavelet transform, lsb, etc.)

永磁同步直线电机数学模型仿真模块，基于d-q坐标下的(LPMSM mathematical model simulation modules, based on dq coordinates of)

详细阐述如何发布matlab程序的方法，尤其适合GUI界面的发布，叙述详细到位。(Elaborate method of how to publish matlab program, especially for the release of a GUI interface, described in detail in place.)

this metal detector full project (pulse induction)

弹道计算工具，包括文档说明，和相关源代码，好东西(Ballistic calculation tools, including documentation, and related source code, good things)

一个对数据处理的Matlab函数，统计数据的概率分布并画出概率密度曲线，已经验证，将该函数安装在函数工具箱内即可调用。(A data processing of Matlab function, the probability distribution of the statistical data and draw the probability density curve, have tested, the function will be installed in the tool can function call. )

因此假设了一种机动目标模型：初始匀速直线阶段、匀速圆周运动阶段、返回匀速直线阶段，在此过程中线速度大小?v?保持不变。利用扩展卡尔曼（extended kalman filter, EKF）滤波算法进行定位跟踪，仿真结果表明，该假设模型既符合机动实际，又便于数学处理，并且滤波算法过程稳定，具有较快的收敛速度和较高的定位精度，提高了机动目标跟踪的精度和系统的实时性。(This paper proposes a maneuver target model: the initial phase of the uniform linear, uniform circular motion stage, returning to uniform linear stage, and the size of the line speed v remaining unchanged in this process. The extended Kalman filter (EKF) was used to track position, and simulation results show that the model is in line with the actual motor and easy to deal with the mathematics. The algorithm is stable and has rapid convergence rate and high positioning accuracy to improve the accuracy of the mobile target tracking and real?time system.)

ecg generation in matlab

利用DFT法求周期信号的功率谱,实现离散傅立叶变换DFT,最后分析得到频谱幅度.(DFT method using the power spectrum of periodic signals seeking to achieve the Discrete Fourier Transform DFT, the final analysis, amplitude spectrum obtained)

着压缩感知技术的发展,基于压缩感知的图像融合技术研究受到越来越多的重视。针对图像傅里叶变换系数特点,提出了一种双星采样模式下基于高低频重要性度量的压缩传感域图像融合算法。该算法首先通过双星采样模式获得测量值,然后计算高低频区域对应的重要性度量作为融合算子,并对测量进行加权融合,最后通过求解最小全变分优化问题重构融合图像。主客观实验结果表明,该算法优于其他基于傅里叶的方案。(With the development of compressive sensing, the compressive domain image fusion technology attracts more and more attention. In considering the DFT coefficient characteristics, a novel image fusion algorithm employing double-star sampling and salience measure of high-lowfrequency within compression domain is proposed.)