qtcl_frequency

关于非线性拟合的介绍， 与处理适合初学者的使用。(Introduction of non-linear fitting, and processing for beginners use.)

vc调用matlab中自定义的.m函数，对于混编简单的例子(Vc call custom in matlab. M function，For simple example mixed)

针对LDPC码在理论和实现两方面分别进行了较深的研究。深入了解了LDPC码编码方法、译码方法以及性能等知识，重点研究了用MATLAB如何构造奇偶校验矩阵、如何编码和如何解码的算法，而且实现了在相同码率、信噪比下LDPC码性能与卷积码性能的对比。(LDPC codes for both theory and implementation were carried out deeper study. In-depth understanding of the LDPC coding method, decoding method and performance of such knowledge, focuses on how to use MATLAB parity check matrix structure, how to encode and decode algorithms how, but also achieved at the same rate, SNR LDPC codes Comparative performance and convolution code performance.)

采用db3小波对信号进行六层分解，可以用作容错故障检测的源程序，我做的小论文就用的这个程序，没有错误(Using six db3 wavelet decomposition of the signal can be used as fault tolerance fault detection of the source, I made a small paper on the use of this program, no errors)

《图像配准技术及其MATLAB编程实现》一书的全部源码以及pdf电子书，对于图像处理初学者应该是非常有帮助的！(Image registration and its MATLAB programming " a book of all the source code and a pdf e-book, for image processing beginners should be very helpful!)

Calcuate Cohen s kappa statistics from a confusion matrix

This is a matlab code for using no-overlapping windows of size WxW. It uses ind2sub and sub2ind() built in functions in matlab.

Edge detection that works with Sobel,Perwitt and Roberts. Wavelet transform has also been performed for images.

说明：  主要应用于对地震信号，数据的去噪，构造了地震数据然后去噪对比结果，(It is mainly used to denoise seismic signals and data, construct seismic data and then denoise the contrast results.)

克里金法假定采样点之间的距离或方向可以反映可用于说明表面变化的空间相关性。克里金法工 具可将数学函数与指定数量的点或指定半径内的所有点进行拟合以确定每个位置的输出值。克里金法是一个多步过程；它包括数据的探索性统计分析、变异函数建模 和创建表面，还包括研究方差表面。当您了解数据中存在空间相关距离或方向偏差后，便会认为克里金法是最适合的方法。该方法通常用在土壤科学和地质中。(This function completes what I have started with the functions variogram and variogramfit. It is not intended to be a highly optimized code for performing kriging but may have educational value. Note that for using kriging, you should download the latest version of variogramfit. kriging uses ordinary kriging to interpolate a variable z measured at locations with the coordinates x and y at unsampled locations xi, yi. The function requires the variable vstruct that contains all necessary information on the variogram. vstruct is the forth output argument of the function variogramfit. This is a rudimentary, but easy to use function to perform an ordinary kriging interpolation. I call it rudimentary since it always includes ALL observations to estimate values at unsampled locations. This may not be necessary when sample locations are not within the autocorrelation range but would require something like a k nearest neighbor search algorithm or something similar. Thus, the alg)