crossing

说明：  雨流计数法,建立在对封闭的应力——应变迟滞回线逐个计数的基础上,能够比较全面的反映随机载荷的全过程,由载荷——时间历程得到的应力——应变迟滞回线与造成的疲劳损伤是等效的.(Rain-flow counting method, based on the stress of the closed- strain hysteresis loop-by-count basis, can be more fully reflected random load the entire process, from the load- time history obtained stress- strain hysteresis loop and the caused by fatigue damage is equivalent.)

非线性扩展卡尔曼滤波算法的matlab程序(Description:This is a tutorial on nonlinear extended Kalman filter (EKF). It uses the standard EKF fomulation to achieve nonlinear state estimation. Inside, it uses the complex step Jacobian to linearize the nonlinear dynamic system. The linearized matrices are then used in the Kalman filter calculation. The complex step differentiation seems improving the EKF performance particularly in accuracy such that the optimization and NN training through the EKF are better than through the UKF )

FactoryPattern example to illustrate abstract, concrete, and product patterns.

说明：  针对低信噪比环境下基于能零比的端点检测方法准确率低的问题,提出了一种结合谱减法和短时零熵法的端点检测方法。首先通过功率谱减法对带噪语音进行降噪处理,然后结合短时平均过零率特征与谱熵特征,构造出一种新的语音参数,即短时零熵,最后运用双门限算法进行端点检测。实验结果表明该方法在复杂噪声环境下具有良好的端点检测性能,降低了检测的误判率。(To solve the problem of low accuracy of endpoint detection method based on energy zero ratio in low SNR environment, an endpoint detection method combining spectral subtraction and Short-term zero entropy method is proposed. Firstly, the noise is reduced by power spectrum subtraction, then a new speech parameter, short-time zero entropy, is constructed by combining the short-time average zero crossing rate and spectral entropy. Finally, the double threshold algorithm is used for endpoint detection. The experimental results show that this method has good performance of endpoint detection in complex noise environment, and reduces the rate of detection error.)

说明：  对OFDM系统中的基于循环前缀的符号定时同步进行了仿真。(On the OFDM system based on cyclic prefix for symbol timing synchronization is simulated.)

这是一个简单的图像分割的程序段。可以用来很好的分割灰度图像。(This is a simple image segmentation of the program segment. Can be used to great gray image segmentation.)

This function uses eigenfunction analysis to solve the matrix differential equation m*y (t)+c*y (t)+k*y(t)=f1*cos(w*t)+f2*sin(w*t) with initial conditions of y(0)=y0, y (0)=v0

plan position indicator by matlab for radar application in detection by elecromagnetic wives

此也是为地震信号产生的一个程序。和上一个差不多的。(This is the seismic signal generated by a program. And a similar.)

Ex0101.m 实现matlab下的数据存取(Ex0101.m to achieve data access under matlab)