Digital-Signal-Processing-(Sanjit)

Kohonen MAP Self Organized

pss+ SVC in power systemi n chicago nakhor

计算魔方矩阵 是纯属于 手工打入 有意思 值得看(Cube matrix is calculated purely by hand into interesting to see in)

lecture series of matlab

Hand recognition using Keypoint matching algorithm is implemented

说明：  频域的模态参数识别方法之一，可以对振动信号进行分析处理，得出结构的固有频率，阻尼比，振型系数，方法很好，程序完整，(Frequency-domain modal parameter identification methods that can analyze the vibration signal processing, draw the structure of natural frequencies, damping ratio, mode shape coefficient, very good method, program integrity,)

比较四分量信号的不同时频分布结果,小波分析。(Compare the results of time-frequency distribution of the four components of the signal)

说明：  基于Mallat算法的滤波器设计及用于信号消噪实现(Mallat algorithm-based filter design and realization for signal de-noising)

利用MatLab软件，实现一种或几种循环码的编译码过程。再现编码和译码的步骤，绘制有关的性能曲线和波形图，并且能检错和纠错。(use MatLab software, to achieve one or a few recycling code encryption process. Reproduction coding and decoding steps, drawing on the performance curve and waveform map, and can, and error detection and correction.)

Introduction: The goal of the HumanEva dataset is to develop new techniques, technology, and algorithms for the automatic articulated pose estimation and tracking of humans. Brown University is involved in an ongoing effort to develop this dataset of synchronized video and motion capture data. The dataset is meant to aid research uating algorithms for human motion estimation. Brown University has