multiamp

for analysis transmitions

研究分析ECG数据的一本书，找了很久才找到的.(This book is intended for graduate students collecting and/or analyzing electrocardiogram (ECG) data, industrial researchers looking to develop, test, and apply new ECG analysis tools (both hardware and software), or simply students or teachers looking for signal processing examples involving an intuitive yet complex signal.)

利用matlab读取libsvm的工具包，实现数据的自动分类。压缩包里有训练文件及测试文件。(Read libsvm using matlab toolkit, automatic classification of data. Compression bag has training documents and test files.)

matlab里针对三维点云配准的工具箱，包括很多函数库以及仿真程序(the matlab for three-dimensional point cloud registration toolbox, including many libraries and simulation program)

说明：  CIE 1931 色度图系统绘制，无弧形坐标轴与白色奇点，色度分布一般，无温差线，有待改进(CIE 1931 Chromaticity Map System Drawing, No Arc Coordinate Axis and White Singularity, General Chromaticity Distribution, No Temperature Difference Line, Need to be Improved)

高级数字信号处理，用各种方法包括music算法、burg法、布莱克曼法、协方差法、周期图法、自相关法进行谱估计，(Advanced digital signal processing, algorithms in various ways, including music, burg method, Blackman method, covariance method, periodogram, autocorrelation method, spectral estimation,)

LTE中PDSCH的链路级仿真过程源代码分析，包括信道编码，预编码，OFDM调制(LTE PDSCH link level simulation in the process of source code analysis, including channel coding, precoding, OFDM modulation)

产生一个正弦衰减曲线，进行快速傅里叶变换，并画出幅值图，相位图，实部图，虚部图(Decay to produce a sine curve, the fast Fourier transform, and draw magnitude diagram, phase diagram, the real figure, the imaginary part of Fig.)

局部均值分解是由Smith提出的一种新的非线性和非平稳信号分析方法。由于LMD是依据信号本身的信息进行自适应分解的，产生的PF分量具有真实的物理意义，由此得到的时频分布能够清晰准确地反映出信号能量在空间各尺度上的分布规律。(Local mean decomposition is a new nonlinear and non-stationary signal analysis method proposed by the Smith. Since LMD information is based adaptive signal itself decomposed, resulting PF component has real physical meaning, when the resultant frequency distribution of the signal can be clearly and accurately reflect the spatial distribution of the energy of each scale.)

ＭＡＴＬＡＢＫＡＬＭＤＥＭＯ,seeＫＡＬＭＡＮ run results(MATLABKALMDEMO, seeKALMAN run results)