KT05you

基于matlab软件的联络线功率波动风险评估的源代码(Matlab software-based tie-line power fluctuation risk assessment of the source code)

本人编的图像配准算法，使用相关算法，模板在参考图像上移动(I compiled image registration algorithm, using the correlation algorithm)

This MATLAB exercise designs and implements a pitch period detector based on detecting and tracking peaks in the autocorrelation of the LPC error signal during regions of voiced speech. The pitch detection procedure is called the SIFT (Simple Inverse Filtering Tracking) method. The SIFT pitch period detector uses a secondary autocorrelation peak in order to detect and correct pitch period detection errors due to effects such as pitch period doubling and related phenomena.

说明：  压缩机matlab仿真模拟源代码,希望对大家有所帮助(Compressor matlab simulation source code, we hope to help)

说明：  升压转换器是一种DC / DC电源转换器，可将电压从其输入（源）升至其输出（负载）。在连续导通模式下（流经电感的电流永远不会降为零），升压转换器的理论传递函数为： 占空比在哪里0.5 在此示例中，转换器从250 V电源馈送RC负载，并且PWM频率设置为31 kHz。 模拟 运行仿真并观察示波器上的波形。确认负载电压（Vout）的平均值非常接近理论值：Vout = 250 /（1- 0.5）= 500V。(A boost converter is a DC/DC power converter which steps up voltage from its input (source) to its output (load). In continuous conduction mode (current through the inductor never falls to zero), the theoretical transfer function of the boost converter is: where is the duty cycle.0.5 In this example, the converter is feeding an RC load from a 250 V source and the PWM frequency is set to 31 kHz. Simulation Run the simulation and observe waveforms on Scope. Verify that the mean value of the load voltage (Vout) is very close to the theoretical value of: Vout = 250 / (1 - 0.5) = 500 V.)

matlab的一些实例，希望对大家有帮助(matlab some examples, we want to help)

Hilbert-Huang变换中经验模式分解（EMD）代码(Hilbert-Huang Transform in the empirical mode decomposition (EMD) code)

闭环系统kalman滤波方程，基于连续状态空间连续模型(closed-loop system kalman filter)

这是我自己编写的压缩感知图像重构的算法，直接观测原始信号（二维），最后重建(This is your perception image compression algorithm, direct observation review of the original signal, the reconstruction of a two-dimensional ） （ )

是一个主成份分析的初学文章写的很好的可以学习很多东西(Principal component analysis is an article written by the beginner can learn a lot of good things)