QPSK调制的matlab仿真

pst power system toolbox

稀疏低秩表示，基于稀疏表示的子空间谱聚类方法(Sparse representation)

matlab GUI串口通信，实时采集数据，曲线显示，接收和发送数据(matlab GUI serial communication, real-time data collection, curve display, receiving and sending data)

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.)

通讯录 程序设计 大二作品 c++ 面向对象 文件读写 操作符重载(Address Book program design sophomore c++ object-oriented works of the file to read and write operator overloading)

说明：  苏金明《Matlab图形图像》。 本书主要介绍了MATLAB图形图像的基础——句柄图形对象，以及图形着色、光照、材质、纹理映射、透明性和交互操作等高级绘图技术，然后介绍图像处理、虚拟现实和地图制作等几个图形图像方面的工具箱内容全面,可供对有关内容感兴趣的大学生 研究生和科研技术人员参考。(matlab picturing)

雷达噪声干扰仿真。对雷达的噪声的各种干扰进行matlab仿真(Simulation of radar noise. Variety of radar interference noise matlab simulation)

its a matlad code for ridge segmentation for fingerpprint recognition project

étude comparative code ldpc matlab ber representation message length variation, performance construction

aboost分类器进行训练，学习，效果非常好(aboost )