OFDM-turbo-code

A. Fusion at the Feature Extraction Level The data obtained from each sensor is used to compute a feature vector. As the features extracted from one biometric trait are independent of those extracted from the other, it is reasonable to concatenate the two vectors into a single new vector. The primary benefit of feature level fusion is the detection of correlated feature values generated by different feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy [14]. The new vector has a higher dimension and represents the identity of the person in a different hyperspace. Eliciting this feature set typically requires the use of dimensionality reduction/selection methods and, therefore, feature level fusion assumes the availability of a large number of training data.

提出了一种改进的LTE系统接入方式,用MATLAB进行了性能仿真。(advance a modified access mothod of LTE system，by using the MATLAB to siumlink the performance of this new method)

Finite element method using Matlab

Does ad impule noise

说明：  mimo系统的matlab仿真程序，适合入门者学习(MIMO system matlab simulation program, suitable for beginners to learn)

做皮带运输系统模拟，在干扰下如何实现皮带平稳控制，其中解微分方程组常用数值解法即龙格法.(Belt transportation system simulation disturbance belt under steady control, including commonly used numerical methods of solving differential equations-Runge method)

Project for Cal Poly Pomona ARO 401 course.

matlab and visual c++ program method and explaination

用MATLAB实现的自相关的算法源程序，不错(Using MATLAB realize the auto-correlation algorithm source code, it is true)

Do something with rate limit.