DSppart12

说明：  MATLAB GUI设计实例程序（大学物理）

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.

Automatic toll collection system

布里渊信号理论建模，实际布里渊信号一维，二维小波降噪，信噪比计算(Brillouin signal theory modeling, actual Brillouin signal one-dimensional, two-dimensional wavelet denoising, signal-to-noise ratio calculation)

For loop fpga testing

matlab优化工具箱,包括线性规划linprog.m，二次规划quadprog.m等(optim toolbox)

AirPrime Q26 Series Development Kit User s Guide

对已知的以为数据进行FFT变换，得到数据的频谱图，进而可分析出幅值和相角。(Known that the data FFT, the frequency spectrum of the data, which can be analyzed magnitude and phase angle.)

说明：  利用matlab的gui设计的带有输入和输出功能的界面图形，实现等距线可视性很强，自己独立编写的数据和图形，学习非常值得,实现pca bp和svm压缩图像，matlab语言(Using GUI of MATLAB to design interface graphics with input and output functions, realizing the visibility of isometric line is very strong, and it is very worthwhile to study the data and graphics written independently, realizing PCA BP and SVM compressed images, MATLAB language)

基于瞬时无功功率的ip_iq检测算法的matlab仿真实例。(Simulation based on instantaneous reactive power matlab)