jianmopinjie

There are 19 questions and 1 programming exercise. Some of them are very easy, some of them are really hard and challenging, and these will be marked as such. If you don’t want to be challenged too much, you can skip the hard questions

基于matlab的深度学习算法，可用于深度学习入门(Based on the depth of learning matlab algorithm can be used for deep learning, such as doors)

linearconvolution with matlab

elman神经网络的matlab程序,运算时间短,程序简单(Elman neural network matlab procedures, computing time is short, simple procedures)

基于独立成分分析的多声源分离程序包，涵盖了大部分独立成分分析的函数,经验证能够有效解决多声源分离问题。(Based on independent component analysis of multi-source separation package, covering most of the functions of independent component analysis.)

emm segmentation fdfddf

数字图象处理与机器视觉Visual C++与Matlab实现，光盘源代码(Digital image processing and machine vision Visual C++ with Matlab, CD-ROM source code)

face detection achieved by matlab downloaded form u of a

运用二维最大熵方法对灰度图象进行分割的matlab源码(The use of two-dimensional maximum entropy method of gray-scale image segmentation matlab source)

Matlab code to calculate LC load response using simulink