shiliangkongzhi_PMSM

MATLAB软件在CDMA通信系统仿真中的应用(MATLAB software in the CDMA communication system Simulation)

pso optimmization matlab codes

“Fast Tracking via Dense Spatio-Temporal Context Learning,” In ECCV 2014的源代码，效果非常好。(In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-temporal relationships between the object of interest and its local context based on a Bayesian framework, which models the statistical correlation between the low-level features (i.e., image intensity and position) from the target and its surrounding regions. The tracking problem is posed by computing a confidence map, and obtaining the best target location by maximizing an object location likelihood function. The Fast Fourier Transform is adopted for fast learning and detection in this work. Implemented in MATLAB without code optimization, the proposed tracker runs at 350 frames per second on an i7 machine. Extensive experimental results show that the proposed algorithm performs favorably against state-of-the-art methods in terms of efficiency, accuracy and robustness.)

计算十字叉丝的在不同距离的衍射图像,一个很有用的程序，使用混沌与分形分析的例程。( Calculation crosshairs diffraction image at different distances, A very useful program, Use Chaos and fractal analysis routines.)

对“data4.m”数据，采用两种特征选择算法，选择2个特征。并且进行效果比较("Data4.m" data, using the two feature selection algorithm, select two characteristics. And the effects comparison)

Matlab永磁同步电机直接转矩控制 很好用的SVPWM(PMSM dtc)

网上到处都是一维k均值聚类，而这是一个二维k均值聚类的代码，老外写的，说明较详细，稍加修改就可以融入自己的项目中。(Everywhere online one-dimensional k-means clustering, which is a two-dimensional k-means clustering code, written by foreigners, the more detailed, slight modifications can be integrated into the project.)

利用RBF和SVM两种机器学习方法做回归预测的matlab源代码，对这两种方法进行比较(The use of RBF and SVM two kinds of machine learning methods to do the regression matlab source code, comparison of the two methods)

gm(1,1)灰色预测模型，可以进行各种预测。短期的电力负荷预测尤其的好。也可以进行中长期的预测，但是效果没有短期的好(gm (1,1) Grey forecasting model can predict all kinds. Short-term load forecasting particularly well. Can also make long-term forecasts, but they were not a good short-term)

bpsk bit and symbol generation