hwEEGECG_RLS

旋转圆盘的传递矩阵算法计算变厚度圆盘的应力位移(Rotating disk of the transfer matrix algorithm to calculate the stress variable thickness disc displacement)

adhoc的csma/ca仿真代码，按802.11的标准执行退避机制，接入信道。(the the adhoc' s csma/ca simulation code, perform backoff mechanism in the 802.11 standard, access channel.)

simulink写的GMSK调制GMSK.rar(simulink written GMSK modulation GMSK.rar)

说明：  雨流计数方法源代码，可以用于各种工程类的分析之用(rainflow counting method)

基于边缘梯度的图像匹配，实现对寻找块图像的精确寻找(Gradient based edge image matching, to achieve the exact image of the search block to find)

搭建最小二乘法的三阶模型，采用该模型的输入输出数据进行参数辨识(The third-order model to build the least squares method, input and output data of the model parameter identification)

matlab方面讲的比较清楚，大家都来下下，很不错的哦。原理与工程应用(book about matlab)

雷达系统的理论和设计一直占主导地位 概率论与统计，信息理论，信号处理和控制 然而，类似的编码译码的属性之间存在的视觉 BIAM和雷达已经黯然忽视的m所有雷达系统(For over six decades, the theory and design of radar systems have been dominated by probability theory and statistics, information theory, signal processing and control However, the similar encoding-decoding property that exists between the visual biam and radar has been sadly overlooked m all radar systems)

MATLAB关于FFT频谱分析的程序，以余弦信号和矩形波为例做了详细说明，并给出了在噪声时的情况。(MATLAB on the FFT spectral analysis procedures, the cosine signal and the rectangular wave, for example to do a detailed description is given in the case when the noise.)

说明：  本设计为基于MATLAB特征点匹配的指纹识别系统。带有一个GUI界面。主要对指纹图像进行三方面处理：图像预处理、特征提取和特征匹配。图像预处理包括四个步骤：图像分割、滤波增强、二值化、细化，对指纹图像进行预处理后，去除了原图像的冗余部分，方便后续的识别处理；特征提取主要是提取指纹图像细化后的端点和分叉点；特征匹配是利用两个指纹的图像进行特征点比较，来确定两幅图像是否来自于同一手指。(This design is a fingerprint recognition system based on MATLAB feature point matching. With a GUI interface. Fingerprint image is mainly processed in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image segmentation, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed to facilitate the subsequent identification processing; feature extraction is mainly to extract the refined endpoint and bifurcation point of fingerprint image; feature matching is to determine the two images by comparing the feature points of two fingerprint images Is it from the same finger.)