matlab

通过对颜色模型的转换来进行对图像进行处理与分析。(Color model of the conversion to image processing and analysis.)

CDMA AT Commands Interface Specification

说明：  文件实现在小波去噪，matlab下进行仿真实验(denosing with matlab)

Script I use to overcome some annoyances with mym

LDA知识的讲解，浅显易懂，便于学习，还有对LDA模型的建立的说明以运用(LDA knowledge to explain, easy to understand, easy to learn, as well as the establishment of LDA model description to use)

本程序能够计算两个信号的频域相干函数和两个信号的互功率谱。(This procedure is able to calculate the two signals in the frequency domain coherence function and the two signals cross-power spectrum.)

说明：  模糊聚类分析分析的MATLAB实现，并且以图形的方式呈现了模糊聚类分析的结果。(Analysis of fuzzy cluster analysis to achieve the MATLAB and graphical way to show the results of fuzzy cluster analysis.)

说明：  人脸识别的MATLAB程序,从图库中的图像将人脸识别出来(Recognition of the MATLAB program, the image from the gallery will be out of face recognition)

说明：  提出了正交频分复用(O FDM ) 系统中一种新的载波频偏估计算法L 载波频偏估计过程可分 为获取和跟踪, 其中, 获取过程和时间同步是同时完成的L新算法可实现的最大载波频偏获取范围 是整个信号带宽的一半L新的跟踪算法是一个最大似然算法, 在加性白噪声高斯信道(AW GN ) 下, 当N (训练序列长度的一半) 等于128 时, 其性能比Schm idl 算法提高约7127 dB 在多经信道下, 当 信噪比不是很高时, 新算法仍具有优势L(new carrier f requency offset est imat ion scheme in o rthogonal f requency division mu lt ip lex ing (O FDM ) system is p ropo sed. The carrier f requency offset est i2 mat ion includes acqu isit ion and t rack ing, and acqu isit ion as w ell as t im ing synch ro2 n izat ion can be perfo rmed simu ltaneou sly w ith h igh accu racy. The max imum acqu i2 sit ion range can be up to one half of overall signal bandw idth. The p ropo sed t rack2 ing est imato r is a max imum 2likelihood est imato r, and in AW GN channel, abou t 7127dB imp rovemen t is ob tained compared to the Schm idl’s algo rithm w hen N = 128 in mu lt ipath channel, the p ropo sed algo rithm wo rk s w ell at moderate SNR.)

利用Matlab软件，具体实现对于给定图片的边缘提取、链接，同时计算计算图像中每个物体的边界长度、面积、矩，投影、近似圆形的离心率、紧致度和边界的傅立叶描述子。(Using Matlab software, the specific implementation for a given image edge extraction, linking, also calculated for each object in the calculation of the image boundary length, area, moments, projections, nearly circular eccentricity, compactness and boundaries of the Fourier descriptors .)