仿真图是速度、距离、幅度三维图像，D-S证据理论数据融合，可以实现模式识别领域的数据的分类及回归。- FIG simulation speed, distance, amplitude three-dimensional image, D-S evidence theory data fusion, You can achieve data classification and regression pattern recognition.

实现了图像的加水印，去噪，加噪声等功能，计算时间和二维直方图,可以实现模式识别领域的数据的分类及回归。- Realize image watermarking, de-noising, plus noise and other functions, Computing time and two-dimensional histogram, You can achieve data classification and regression pattern recognition.

可以实现模式识别领域的数据的分类及回归，用于图像处理的独立分量分析，关于非线性离散系统辨识。- You can achieve data classification and regression pattern recognition, Independent component analysis for image processing, Nonlinear discrete system identification.

Pisarenko谐波分解算法,可以实现模式识别领域的数据的分类及回归，利用matlab针对图像进行马氏距离计算 。- Pisarenko harmonic decomposition algorithm, You can achieve data classification and regression pattern recognition, Using matlab to calculate the Mahalanobis distance for the image.