directcoupledRload

说明：  这是一篇关于基于图像序列的人体步态识别方法研究的文章(This is a sequence of image-based recognition of human gait article)

This file is HVDC 12 Pulse Average

Mat lab user e-book file

对实验数据的FFT分析，可以显示时域和频域的结果(FFT analysis of the experimental data, can display the results of the time domain and frequency domain)

matlab中的Hilbert变换，主要处理csv文件。(matlab in the Hilbert transform, which mainly deals with csv file.)

MATLAB实现Kalman滤波，注释详细，对Kalman滤波过程有详尽的解释，是初学者入门进阶的好程序(MATLAB implementation Kalman filtering, detailed notes on the Kalman filtering process has a detailed explanation on entry Advanced beginners are good procedures)

卡尔曼滤波器的三种设计方法，在信号估计中有很好的表现，都调试通过了。(Three Kalman filter design, signal estimation in a good performance, all debugging adopted.)

：该文把局部三值模式(Local Ternary Patterns, LTP)纹理特征引入Mean Shift 跟踪算法，提出了基于多 特征的Mean Shift 人脸跟踪算法以解决Mean shift 跟踪算法的鲁棒性问题。通过对LTP 纹理特征的分析、研究， 提出了一个LTP 关键纹理模型，既增强了目标的关键纹理信息，又简化了LTP 纹理模型。在此基础上，提出一 种基于LTP 关键纹理特征和肤色特征的Mean Shift 人脸跟踪算法，有效地解决了Mean Shift 算法的鲁棒性问题。 为进一步提高对快速运动目标的跟踪速度和跟踪性能，该文引入了卡尔曼滤波器对目标进行预测。实验结果表明， 该文的算法在目标定位的准确性和跟踪性能上比Mean Shift 算法均有明显的提高。(: In this paper, the texture characteristics of the local ternary patterns Local Ternary Patterns (LTP) Mean Shift tracking algorithm proposed Mean Shift face tracking algorithm based on multiple features in order to solve the Mean shift tracking algorithm robustness. Texture characteristics of LTP analysis, research, a key LTP texture model, not only enhanced the key goal of texture information, but also simplifies the the LTP texture model. On this basis, based on the LTP key texture features and color characteristics Mean Shift face tracking algorithm, effectively solved the robustness of the Mean Shift algorithm. To further enhance the fast-moving target tracking speed and tracking performance, this paper introduces the Kalman filter to predict the target. The experimental results show that the algorithm of the text in the target positioning accuracy and tracking performance than the Mean Shift algorithm to significantly improve.)

电偶源频率域可控源 CSAMT一维正演程序 ( CSAMT one dimensional forward procedure)

This code consist of various filters and their comparison, The performance metrics are determined using PSNR value, SSIM value.