APACcc

This is the function which creates 2D-Gaussian filter with different value of standard deviation in x and y direction of size as mentioned by user.

Neural network direct implementation using matlab

输出一个正整数的所有格雷码序列及一正整数的所有升序拆分序列(output a positive integer Gray all sequences and a positive integer of all ascending sequence Resolution)

matlab檔案，用於計算定位成功率，輸入nmea檔案，自動計算NMEA定位的成功率(Calculate the fix yield rate)

合作是通訊的過程模擬仿真，有三種中繼的模式 可提供大家一個方向，謝謝(Relay Station Way)

自适应谱线增强问题，计算两个输入信号序列的自相关函数，选择合适的步长，以实现输出信号谱线的增强(Adaptive line enhancement problem, the calculation of two input signal sequence auto-correlation function, select the appropriate step in order to achieve enhanced output signal spectrum)

matlab gui tutorial, a brief introduction for matlab and include an example of image processing

说明：  神经网络实例集。包括以下几个程序单层线性神经网络实例、感知器神经元解决较复杂输入向量的分类问题、基于感知器神经网络处理复杂的分类问题、数值分析程序matlab-GUI、用BP网络完成函数的逼近源程序、自组织特征映射应用实例(Examples of neural network sets. Procedures include the following examples of single-layer linear neural network, perceptron neuron input vector to solve more complex classification problems, based on the perceptron neural network to deal with complex classification problems, numerical analysis matlab-GUI, using BP network function source approximation, self-organizing feature map application)

说明：  主元分析方法（PCA）是一种基于多元统计分析的数据降维方法, 它利用过程变量间的相关关系, 建立正常工况下的主元模型, 通过检验新的数据样本相对于主元模型的背离程度, 从而发现异常和故障。 (Principal Component Analysis (PCA) is based on multivariate statistical analysis of the data reduction method, which uses the correlation between process variables and establish the normal condition of the main element model, by testing samples of the new data relative to the principal component model departure from, and thus abnormal and failure.)

有限元法求解电场,精度高，计算速度快，可用于点电荷电场、电磁场等条件下的求解(Finite element method for solving electric field, high precision, fast calculation, can be used to point charge electric field, under the conditions of solving electromagnetic field)