sso_simple

运用matlab，对多彩分辨率彩色图像进行增强。 求取直方图和相关图。实用了对比度拉伸和去相关拉伸等增强方法。(Use matlab, colorful resolution for color image enhancement. Strike histograms and correlation diagram. Practical related to the contrast stretching and stretching enhancement.)

matlab实现AMI编码的代码，自己写的，大家小心下载，如果有错，请大家指正.matlab实现AMI编码的代码，自己写的，大家小心下载，如果有错，请大家指正(matlab code to implement AMI coding, write, and everyone will take to download, if there is wrong, please correct me )

三相双闭环PWM整流器simulink仿真，空间矢量SVPWM，电流前馈解耦，DQ坐标变换(Double closed loop three-phase PWM rectifier, using SVPWM, current feedforward decoupling, DQ coordinate conversion, etc )

说明：  MIMO预编码，线性zf,mmse预编码性能比较(MIMO pre-coding, linear zf, mmse Performance Comparison of precoding)

利用matlab绘制图像灰度直方图，能够表现像素统计的结果(Using matlab to draw the image histogram, the statistical results can show pixels)

用Matlab实现简单的原图片在二值化下的人脸检测以及网络表格标记图像(Using Matlab achieve a simple binary original picture in the next face detection, and network forms Tagged Image)

Power electronics plays an important role in controlling the grid-connected renewable energy sources. This paper presents a novel adaptive neuro-fuzzy control approach for the renewable interfacing inverter. The main objective is to achieve smooth bidirectional power flow and nonlinear unbalanced load compensation simultaneously, where the conventional proportional-integral controller may fail due to the rapid change in the dynamics of the highly nonlinear system. The combined capability of neuro-fuzzy controller in handling the uncertainties and learning from the processes is proved to be advantageous while controlling the inverter under fluctuating operating conditions. The inverter is actively controlled to compensate the harmonics, reactive power, and the current imbalance of a three-phase four-wire (3P4W) nonlinear load with generated renewable power injection into the grid simultaneously.

双线性插值与最近领域插值的matlab源程序，两种算法的效果比较。(Recently, the field of bilinear interpolation and interpolation matlab source, comparing the effects of two algorithms.)

In this paper, we propose and investigate a lowcomplexity human motion tracking system which is based on ultra-wideband (UWB) radio nodes.

根据刘金坤老师那本PID控制书籍，搭建的单神经元PID控制仿真模型(According to that PID control books of Liu Jinkun teacher , this is a single neuron PID control simulation model)