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This source code simulates a Video Traffic Model

数字调制信号的产生与识别。产生数字调制信号，并汇出图像，比较直观。 通过分析解调的幅度、频率、相位来判断该信号的调制类型。(Generation and identification of digital modulation signals. Generates a digital modulation signal, and export the image, intuitive. To determine the modulation type of the signal through the analysis of the amplitude, frequency and phase demodulation.)

a function to find auto correlation

通过rls进行时延估计，不仅收敛速度快，而且在较低信噪比条件下，仍能够得到时延估计值(rlstde)

pcm编译码实现，有关于pcm编码译码的介绍和m文件(pcm codec to achieve)

一个HP忆阻器的simulink模型，可以用于忆阻器的数字分析(Digital analysis of an HP memristor simulink model that can be used memristor)

MATLAB里的simulink的dspbuilder设计的图像高斯滤波，可直接运行，并可通过matlab转化到quartus中并下载到FPGA运行(MATLAB simulink in the design of the image of dspbuilder Gaussian filter can be run directly, and transformed by matlab to quartus and downloaded to the FPGA run)

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):

利用例子滤波实现对运动物体的跟踪并提取轨迹，在matlab环境下运行，希望对大家有用(Examples of the use of filtering to achieve the tracking of moving objects and extract tracks in the matlab environment to run, I hope useful)

等式约束 Newton下降法 Matlab的实现(Newton descent method applied in equality constrain optimization and realized with Matlab)