《卡尔曼滤波原理及应用-MATLAB仿真》程序.part01

说明：  GPS基本原理及其matlab仿真书本，给出了matlab详细代码(Basic Principles of GPS and Its Matlab Simulation Books)

说明：  测量字符串长度，输入字符串，输出字符串的长度。(Measure the length of the string, input the string, output the length of the string.)

刘儒勋的运动界面追踪－VOF源代码(Mathematics, tracking the movement interface-VOF source code)

钩子原理 Delphi写的，学习的好例子 (hook principle Delphi wrote, a good example of learning)

《深入浅出Python机器学习》源码 ipynb格式("Deep and Simple Python Machine Learning" Source Code ipynb Format)

说明：  代码源自论文“Coding Prony's method in MATLAB and applying it to biomedical signal filtering”，附测试例程(Code comes from the paper "coding prony's method in MATLAB and applying it to biomedical signal filtering", with test routine)

程序包含 EKF UKF PF EPF UPF 的性能比较，里面是比较简单的调用，并对其性能做了简要的对比。(The program contains the performance comparison of EKF UKF PF EPF UPF, which is a relatively simple call, and makes a brief comparison of its performance.)

基于PWM控制的三相逆变器，采用PI调节，输出电流电压波形稳定。(The three-phase inverter based on PWM is controlled by PI, and the output current and voltage waveform is stable.)

对电容层析成象的ECT断层图象 进行3维显示(Of capacitance tomography images of ECT tomography 3-D display)

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.)