program(1)

倒立摆模型的局部线性化 设倒立摆的摆角范围为[-15,15]度，摆角角速度范围为[-200,200]度/秒，摆角角加速度范围为[-200,200]度/秒2，采用三角形隶属函数对摆角和摆角角速度进行模糊化，摆角初始状态为[0.2,0]。 (Inverted pendulum model of the local linear-based inverted pendulum swinging angle of the range of [-15,15] degrees angle angular range of [-200,200] degrees/sec, angular acceleration angle range of [-200,200] degrees/sec 2, the use of triangular membership function of the pendulum angle and angular velocity fuzzy angles, and angles for the initial state [0.2,0].)

说明：  小波变换图像增强程序。以及非线性的处理程序。 MATLAB编译环境。(Wavelet transform image enhancement program. And non-linear process. MATLAB compilation environment.)

The JPEG compression scheme is divided into the following stages: 1. Transform the image into an optimal color space. 2. Adjust Aspect Ratio 16:9 3. Digitization Scheme 4:2:0. 4. Apply a Discrete Cosine Transform (DCT) to blocks of pixels, thus removing redundant image data. 5. Quantize each block of DCT coefficients using weighting functions optimized for the human eye. 6. Encode the resulting coefficients (image data) using a Huffman variable word-length algorithm to remove redundancies in the coefficients. 7. Byte Stuffing. 8. Header JFIF 9. JPG Data Store

去趋势波动分析，用于信号分析，可以用于信号去噪，检测信号序列的相关性，内有源码及参考资料一篇(DFA analysis is used to analysis the signal.besides,it can also be used to test the conssitency of the input signal series.)

MATLAB中单位脉冲信号和单位抽样序列的产生程序(MATLAB in the sampling unit and unit pulse sequence generation program)

本资料含有低通/高通带通等matlab程序，程序简短但经典(This information contains a low pass/high pass band-pass and so on matlab program, the program short but classic)

matlab中CW脉冲的源程序，经过仿真验证的(matlab source code in the CW pulse, after simulation of)

this code is to classify objects based on their roundness using bwboundaries, a boundary tracing routine.

DENOISING OF ECG SIGNAL HAVING POWER LINE INTERFERENCE

灰色动态预测源代码预测水资源。灰色动态模型群模型 是改进的灰色预测模型，可以克服不稳定信息带来的 不良影响利用不同时段数据建立不同的灰色 GM(1,1)模型来构造灰色预测模型 群，分别对未来时刻的各项预测值进行统计计算，并将统计平均值作为预测值， 进一步提高了预测的精度和预测结果的可靠度。(The gray dynamical prediction prediction source of water. Grey dynamic model group model is an improved gray prediction model can overcome the adverse effects of instability caused by the use of information to create different data at different times of gray GM (1,1) model to construct the gray prediction model group, respectively, each time in the future term prediction values ​ ​ of statistical calculations, and the statistical average as a predicted value, to further improve the accuracy and reliability of the prediction results of the prediction.)