AR_whiteNosInput

基于小波包分解的语音去噪，根据熵谱概率密度函数估计阈值，去除实际环境噪声。(Based on wavelet packet decomposition of the voice de-noising, in accordance with spectral entropy probability density function estimated threshold, the actual removal of environmental noise.)

对原始正弦信号进行傅里叶变换与逆变换并给出结果(Fourier transform and inverse transform the original sinusoidal signals and gives results)

Drools5 Drools5(Drools5 develop )

force calculation with Matlab (fem)

OFDM Simulation Using Matlab

Feature selection methods for machine learning algorithms such as SVR, including one filter-based method (CFS) and two wrapper-based methods (GA and PSO). The gridsearch is for the grid search for the optimal hyperparemeters of SVR. The SVM_CV is for the k-fold cross-validation of SVR. All the programs are flexible and could be implemented by the users themselves.

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

Obscurance Invariance in Template Matching

matlabGUI 页面设计示例，很好的对于以后的设计给出指导，方便设计使用(APPLYING FOT THE MATLABA GUI)

说明：  用mallat分解与重构算法实现一维信号的分解和重构(Mallat decomposition and reconstruction algorithm used to achieve one-dimensional signal decomposition and reconstruction)