性能分析的传播技术使用不同扩频编码"

The following Matlab code converts a Matrix into it a diagonal and off-diagonal component and performs up to 100 iterations of the Jacobi method or until 蔚step < 1e-5

EMD工具包 HT,HHT变换最新的工具(EMD kit HT, HHT transform the latest tools)

给出信道离散表示，可得到信道幅频响应及相频响应。(Given the discrete expression of communicaton channel, it may show the amplitude frequence response and the phase frequence reponse.)

单自由度系统的根轨迹和相图求解,可以直接输出图像或者数据文件。(code of free vibration vious (matlab))

提出一种新的显着性检测方法，通过将区域级显着性估计和像素级显着性预测与CNN（表示为CRPSD）相结合。对于像素级显着性预测，通过修改VGGNet体系结构来执行完全卷积神经网络（称为像素级CNN）以执行多尺度特征学习，基于该学习进行图像到图像预测以完成像素级显着性检测。对于区域级显着性估计，首先设计基于自适应超像素的区域生成技术以将图像分割成区域，基于该区域通过使用CNN模型（称为区域级CNN）来估计区域级显着性。通过使用另一CNN（称为融合CNN）融合像素级和区域级显着性以形成nal显着图，并且联合学习像素级CNN和融合CNN。对四个公共基准数据集的大量定量和定性实验表明，所提出的方法大大优于最先进的显着性检测方法。(A new saliency detection method by significant regional level estimates and forecast significant pixel level and CNN (expressed as CRPSD) combined. For pixel-level significant prediction to perform a full convolution neural network by modifying VGGNet architecture (called pixel-level CNN) learning to perform multi-scale features, image to image prediction to complete the pixel level detection based on the significant learning . For regional levels significantly estimate, the first generation technology to design image is divided into regions based on adaptive super-pixel area, based on the model of the region through the use of CNN (CNN called regional level) to estimate regional levels significantly. By using another CNN (CNN called fusion) Fusion pixel level and regional level to form nal significant saliency map, and the Joint Learning pixel level fusion CNN and CNN. Four common reference data set of a large number of quantitative and qualitative experiments show that the proposed m)

A gui simulation and animation of two or three masses connected by springs. Four cases: (1) two masses and three springs to two walls (2) two masses and two springs to one wall (3) three masses and four springs to two walls, or (4) three masses and three springs to one wall. These four cases are programmed in four separate .m and .fig files. The gui allows changes to the masses and spring constants, and presents the normal mode oscillations and a random linear combination of normal modes.

This is my simulation of PMSM. Hope you can edit and use it to your exercise. It is not actually correct but I think it will be useful for you.

indirect field oriented control

T/R-R高频地波雷达舰船探测范围分析 (T/RR HF radar detection range of ship)

基于matlab实现语音信号的采集和处理，包括频谱分析，显示实时A声级(Based on matlab realize the voice signal acquisition and processing, including spectral analysis, display real-time A sound level)