3-4-Capacitor-MOM

Synthetic Aperture Radar Imaging Simulated in MATLAB

随机游走类似布朗运动，就是随机的向各个方向走吧。 虽然代码没什么技术含量，不过产生的图像实在太漂亮了，所以还是贴上来吧。 产生的图像：(Similar to Brownian motion random walk, is random and go in all directions. Although the code is no technical content, but the resulting image is too beautiful, so it is still Tieshanglai it. graphics layer.)

该程序可以进行扇形的短扫描重建，利用Parker加权函数。得到不错的重建效果。希望对大家有帮助。仅供参考！(This programme is a short-fan reconstruction.On the use of Parker weight function.I hope it will be useful.And the result of this programme is good.)

Schroeder 混响器，feedback comb filters，参考CCRMA。(Schroeder Reverberators)

实现PPG信号的特征提取，标记PPG信号的波峰和波谷值(Implementing feature extraction of PPG signal)

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.)

沈捷、汤涛编写的最新的关于谱方法的书的源代码！！(Shen Jie, Tang Tao, prepared the latest books on the spectral source code! !)

RLS自适应滤波器，实现自适应滤波算法的应用，此过程发现它对自适应滤波的算法与其他的不同之处(RLSAdaptive FilterThe application of adaptive filtering algorithm, the process adaptive filter algorithm that it differs from other )

基于单比特反馈的一种改进对齐算法，可以极大加快收敛速度(Based on a 1-bit feedback to improve alignment algorithm can greatly speed up the convergence rate)

正弦函数，在0到2π区间，当有一个输入时，对应有一个输出，最后在matlab上显示出图像(Sine function, within the range of zero to 2 PI, when have an input, due to an output, and finally show the image in matlab )