FEM-structural-analysis

代码实现了基于卡尔曼滤波算法的信号估计，该算法有很好的跟踪能力，能用于信道事变的情况(Code based on the Kalman filter algorithm estimates the signal, the algorithm has good tracking ability can be used in case of channel events)

数字助听器中多通道响度补偿方法的研究.pdf(Multi-channel digital hearing aid loudness compensation method. Pdf)

光纤光栅传输函数仿真，可以根据现实需要，更改各种参数(Optical fiber grating transmission function simulation and may, according to the need of reality, change all kinds of parameters )

较为复杂的捷联惯导导航，加入了姿态、位置、位置、速率信息。(SINS more complex navigation, joined the attitude, position, position, velocity information.)

运用tls-esprit方法估计信号简谐波频率(Estimation the frequencies ofsignal using total least square-esprit algorithm)

matlab软件读取FPGA生成的*.tbl文件(matlab software reads the FPGA to generate the*. tbl file)

This file is a demonstration module containing a number of configfs subsystems.

基于极限学习机的预测模型，数据为混沌数据(extreme learning machine)

用于分类的主判别变量算法(principal discriminant variate algorithm) ( principal discriminant variate algorithm for two classes, x1 and x2. x1 is the training samples in the 1st class with each column being the spectrum characterizing the corresponding sample. x2 is the training samples in the 2nd class with each column being the spectrum characterizing the corresponding sample. lamda is the penalty weight defining the balance between FLDA and PCA. dvnum is the number of principal discriminant variates to be computed. A defaul value for dvnum is 2. dv is the principal discriminant variates. scores is the matrix with each row being the scores of the samples on the corresponding principal discriminant variate. xmean is the mean spectra of the sample, which was used for mean-centering the data in training and prediction. )

利用最小二乘支持向量机实现无线传感器网络的目标定位(The use of least squares support vector machine to achieve targeting wireless sensor networks)