RGB_HSI

信噪比，计算公式是信号能量比上噪声能量，有助于分析信号成分的(Signal-to-noise ratio, and the calculation is signal energy on energy than noise, help analysis of signal components )

用matlab生成gold序列，并绘出其自相关和互相关曲线(Gold sequence generated by matlab, and draw their autocorrelation and cross-correlation curves)

there is a matlab cod,that is, Example of Supercritical Hopf bifurcation.

How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. (How the K-mean Cluster workStep 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.)

slam simulation for robot cartoggraphy and mapping with out external sensors

人工神经网络在Matlab上的仿真作业，自己亲自仿真出来的，希望大家下载！(Artificial Neural Network in Matlab simulation on the job, personally simulation out, hope everyone to download!)

Solar cell using simplified diode model

实现多个混合信号的盲源分离！程序简单、易懂！适合初学者学习！(Multiple mixed-signal blind source separation! The program is simple, easy to understand! Suitable for beginners to learn!)

说明：  在障碍物环境下的基于强化学习的单智能体与多智能体路径规划算法(Single agent and multi-agent path planning algorithm based on reinforcement learning in obstacle environment)

说明：  结构有限元，基本梁单元、板单元等，线性计算(structure FEM program)