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关于matlab和c语言编写的fdtd程序的小集合，我平时收集的，看对大家是否有帮助。(Matlab and c on the language of the fdtd small set of programs, I usually collected to see if that helps all of us.)

用于运动捕获数据的读取，所读取的数据是96维度的矩阵(Motion capture data for reading data, the read-dimensional matrix is 96)

有详细的注释，AHP层次分析法计算判断矩阵的最大特征值,多元数据分析的主分量分析投影。( There are detailed notes, Calculate the maximum eigenvalue judgment matrix of AHP, Principal component analysis of multivariate data analysis projection.)

matlab写的pso程序，程序已经运行通过，有较高的执行效率(Matlab write PSO procedures, operational procedures have been adopted, a higher efficiency in the implementation of)

基于GUI的图像处理软件平台的开发 五种常用的边缘检测、灰度直方图的显示、灰度直方图的均衡化、对比度自适应直方图的均衡化、图片的二值化以及彩色图片的灰度化(GUI-based image processing software platform of five commonly used edge detection, histogram display, gray histogram equalization, adaptive histogram equalization contrast, the image binarization and color pictures of the gray degree of)

波形产生器,产生方波，正弦波，双曲正割，三角波。高斯，超高斯，亚高斯等等(wave productor)

介绍MATLAB中的小波分析工具箱，包括一些常用的小波基函数、连续小波、离散小波以及小波包变换等(Introduction MATLAB wavelet analysis toolbox, including some commonly used wavelet basis function, continuous wavelet, discrete wavelet transform and wavelet packet)

杂波环境下基于EKF的多传感器的数据融合(Clutter environment EKF-based multi-sensor data fusion)

canny detector code which performs extracting edges from a image and gives efficient results compared to other methods

将小波相邻系数相关性的降噪思想引入到冗余第2代小波中，提出了基于邻域相关性的冗余第2代小波降噪方法，该方法克服了传统阈值降噪没有考虑小波系数之间相关性的不足。(Aiming at fault feature extraction in the background of strong noise, a wavelet denoising idea by incorporating neighboring coefficients is introduced into redundant second generation wavelet case. A denoising method of redundant second generation wavelet using neighbor dependency is presented. It overcomes the deficiency of traditional thresholding approaches. In this method, an original signal is decomposed by redundant second generation wavelet, and the detail and approximation signals have the same length as the original signal. The detail signals at each scale are then processed by neighbor dependency. Finally, the approximation signal and processed detail signals are reconstructed by inverse transform of redundant second generation wavelet to realize the signal denoising. )