yanxie11

染色体识别与统计,识别其中的染色体并统计其数目，我们采用Matlab平台提供的一些图像处理函数.(Chromosome identification and statistics, to identify the chromosome and the number of statistics, we have adopted a Matlab platform provides a number of image processing functions.)

说明：  计算时变重力场变化的程序，通过此程序可以计算地球质量变化等等。(Changes in time-varying gravity field calculation program, this program can be calculated by changes in Earth' s mass and so on.)

非二进制软译码很实用要学非二进制LDPC的同学可以参考一下(NB-LDPC decode)

Gaussian3D Creates 3-D Gaussian Kernel of specified width sigma_array=[sigma_x, sigma_y, sigma_z]

滚动轴承故障诊断 小波包分解 峭度最大尺度重构(Roller Bearing Fault Diagnosis Based on Wavelet Packet Decomposition kurtosis largest scale reconstruction)

这个Matlab程序实现了MAP算法-最大后验概率算法，同时包括对算法有：卷积编码、卷积解码，BPSK，AWGN。同时绘制它的误码率和SNR(信噪比)。 (The Matlab program achieved a MAP algorithm- maximum a posteriori probability algorithm, also include the algorithm are: convolutional coding, convolutional decoding, BPSK, AWGN. At the same time rendering its bit error rate and SNR (signal to noise ratio).)

Ecg beat detection in matlab

线性支持向量机示例和数据都有linear svm(linear svm )

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)

it is about matlam m file useing in matlab