air-to-ground-missile-model

3 phase Active Power filter that is simulated in matlab simulink based on hysteresis current control method

通过物理层技术的设计实现无线通信的保密。(Securing Wireless Communications at the Physical layer)

说明：  It is a matlab program for heat transfer modeling. The finite element is used.

自编的奇异值分解消噪程序，在消噪的同时可实现对不同频率信号分量的分离。(Own the singular value decomposition de-noising procedure, de-noising can be achieved at the same time on different frequency signal component separation.)

卡尔曼的滤波跟踪程序，成功实现了最小二乘法的跟踪和IMM跟踪。(Kalman filter tracking procedures, the successful implementation of the least squares method of tracking and tracking IMM.)

matlab 教程(matlab tutorial)

用于MATLAB作图中，多张图的合并（里面的文件路径需要根据需要更改）(For the MATLAB plot, the multiple number of pictures merger (inside the file path needs to be changed as needed))

MATLAB是美国MathWorks公司自80年代中期推出的适用于科学和工程计算的数学软件。它优秀的数值计算能力、卓越的数据可视化能力和简洁的程序语言编写使其很快在数学软件中脱颖而出。本文通过化学计量学中的两个多元校正为例,简要介绍了MATLAB程序设计在化学计量学计算中的应用。 更多还原 ( MathWorks MATLAB is a mathematical software United States launched the company since the mid-1980s apply to scientific and engineering computing. It is excellent numerical ability, excellent data visualization capabilities and simple programming language to write so quickly come to the fore in mathematics software. In this paper, two chemometrics multivariate calibration, for example, a brief introduction MATLAB programming in chemometrics computing applications. More Restore)

It is 27 level asymmetrical multilevel inverter

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.