newpnn

用于matlab仿真的，比较使用的系统仿真用的源代码(Matlab simulation used to compare the use of system simulation using the source code)

说明：  维纳滤波器经典代码，加了详细标注，更适合阅读和改进。(Wiener filter classic code, add the detailed mark, more suitable for reading and improvement. )

状态估计的gui,运用matpower,实现状态估计，里面还调用多个自己编的程序(Gui of State estimation)

生成拍波信号：由自己控制采样频率，拍波频率，拍波个数，拍波周期数和拍波之间的时间间隔和拍波幅值，能生成符合上述要求的任意拍波。(Generate beat-wave signal: control by its own sampling frequency, beat-wave frequency, the number of beat-wave, beat-wave cycles and the time interval between the beat-wave amplitude and beat, meet the above requirements can generate any beat-wave.)

Minh Do《Contourlet toolbox》(Contourlet变换影像处理工具箱)(Minh Do《Contourlet toolbox》)

说明：  rs码的simulink仿真图，可以观察加噪声和不加的误码情况(rs simulink simulation code map, can be observed without added noise and bit error conditions)

用周期循环检测算法检测： 首先运行a.m程序，通过此程序运算得出循环频率a值； 再运行zhouqi.m程序，对a值进行确定，通过周期循环算法对信号进行检测； (With cycle detection algorithm to detect: First run am program, through this program computing a value obtained cyclic frequency zhouqi.m then run the program, for a value determined by the cycle algorithm of signal detection )

We develop a tracking controller for the dynamic model of unicycle mobile robot by integrating a kinematic controller and a torque controller based on Fuzzy Logic Theory. Computer simulations are presented confirming the performance of the tracking controller and its application to different navigation problems.

以matlab为工具利用数字图像处理技术对答题卡进行了识别，并对识别结果进行了处理。注意到答题卡在采集图像的过程中由于各种原因可能会产生图像倾斜、水平或垂直错位，要进行正确识别首先必须对其进行校正，再依据像素检索技术进行识别。(With MATLAB as the tool, the answer card is identified by digital image processing technology, and the recognition results are processed. It is noted that the answer card in the process of collecting images may cause image tilt, horizontal or vertical dislocation for various reasons. To correct recognition, it is necessary to correct it first and then identify it according to the pixel retrieval technique.)

Lung Cancer Detection and Classification Using ANN & Multinomial Bayesian Classifier