skel

Configurable Simulink Model for DC-DC Converters with PWM PI Control description

matlab机器人障碍物静态状态下的避障的仿真(Robot obstacle avoidance of static state)

用于实现二进制时频调制与解调，并实现了误码率的计算(Used to achieve binary time-frequency modulation and demodulation, and to achieve the bit error rate calculation)

克立格插值工具箱，matlab版，里面有很多程序，有帮助就看看，很不错(Kriging interpolation toolbox, matlab version, which has a lot of procedures, there is help on the look, very good)

Myplotyy情节不同的数据集具有共同的X轴使用一个数字，但个别的Y轴。 每一个曲线（Y轴）的属性可单独调整，为线性或对数尺度，正常或反向规模，置信区间等，颜色，曲线标签，... 见截图和运行示例“myplotyy_example.m”在zip文件中。 (Myplotyy plots different data sets with a common x-axis but using individual y-axes in one figure. The properties of every curve (y-axis) can be individually adjusted, such as linear or logarithmic scale, normal or reverse scale, confidence intervals, colors, curve labeling, ... See screenshot and run the example "myplotyy_example.m" included in the zip-file. )

MPPT is an electronic system that searches the MPP of a PV panel. It should be noted from start that MPPT does not use the same principle as mechanical tracking, where the panel is moved (rotated) in position (azimuth and elevation) so as maximum sunlight is incident on it. MPPT controllers (trackers) change the output impedance of the PV panels, thus changing its operating point. However, MPPT can be used in conjunction with mechanical sun tracking systems to improve power generation. Typical MPPT controllers make use of a power converter to track MPP of the PV system. Power

对于想要学习matlab应用的朋友，能从这份国外计算机科学经典教材之MATLAB科学计算中获得启发。(For those who want to learn matlab application friend from abroad this MATLAB scientific computing in computer science inspired by the classic textbook.)

利用GK算法进行数据聚类。GK算法是一种改进的模糊聚类算法，在FCM的基础上改进的，能够识别不同形状的聚类结构。(Clustering the data by GK clustering algorithm.)

This archive contains the source code the book Undocumented Windows.

已知一个序列x(n)=0.5cos(0.55*pi*n)+cos(0.45*pi*n),时域FFT分析其频谱。 （1）使用不同宽度的矩形窗截断该序列为M点，取M分别为：20，40，160,观察不同长度对频谱影响；（2）使用哈明窗和凯泽窗重做；（3）对三种窗的结果进行分析比较；（4）总结窗类型和长度对频谱分析的影响。 (Known a sequence x (n) = 0.5cos (0.55* pi* n)+ Cos (0.45* pi* n), time-domain FFT analysis of its spectrum. (1) use a different width of the rectangular window of the sequence for M cut-off point, take M are as follows: 20,40,160, observing the impact of different lengths of the spectrum (2) the use of Hamming window and the Kaiser window redo (3 ) on the three windows analyzed and compared the results (4) summarize the type and length of window for spectrum analysis.)