Costas_Receiver

说明：  AR(p) Process Periodogram Spectral estimation,

为便于交流提高学术水平，我们应该提供一些免费的好的源代码(In order to facilitate the exchange to raise academic standards, we should provide some good free source code)

计算CDMA系统的误码率的最重要的函数，记得看哦，肯定有用(The most important function to calculate the error rate of the CDMA system, remember Kane, certainly useful)

用正交调制方法实现模拟调制，包括AM,DSB,SSB,LSB,FM,AM-FM等，实现后，显示时域波形和功率谱密度(Orthogonal modulation method used for analog modulation, including AM, DSB, SSB, LSB, FM, AM-FM, etc., we can show the time-domain waveform and power spectral density)

内包括MATLAB初步学习资料，可对初学MATLAB的朋友有一些帮助(Includes MATLAB preliminary study can be found on the MATLAB beginner' s friends have some help)

【matlab编程代做】水平集模型的图像分割 可以做为参考使用学习([Do] matlab programming generation level set image segmentation model can be used as a reference using the learning)

this file is simulink of disel genrator in matlab

mcm 论文This is the first in a series of videos that will go through the process of planing and implementation of a simple GUI. Realistically, I would not plan out a GUI this simple, but the idea is to show what my planning process is on a simple example. The purpose of this GUI is to: 1.Select an Excel file and read it into the MATLAB workspace 2.Modify the data that came from the file. In this case by multiplying by a scalar 3.Write the modified data into an Excel file with a name derived from the original filename(mcm outstanding This is the first in a series of videos that will go through the process of planing and implementation of a simple GUI. Realistically, I would not plan out a GUI this simple, but the idea is to show what my planning process is on a simple example. The purpose of this GUI is to: 1.Select an Excel file and read it into the MATLAB workspace 2.Modify the data that came from the file. In this case by multiplying by a scalar 3.Write the modified data into an Excel file with a name derived from the original filename)

MacOS VMware虚拟机上MacOS磁盘空间扩展(MacOS VMware virtual machine disk space expansion)

suport vector regresion in matlab