Chap1

LaberMe Toolbox. Toolbox for using labelme images.

说明：  adaptative colntrol with luenberger observer

声发射/声音信号的采集，频域、时域、功率谱等的分析.请配合NI9223使用。( Acoustic emission/capture sound signal, frequency domain analysis, time domain, power spectrum, etc. Please cooperate NI9223 use.)

人工神经网络基于matlab开发的线性神经网络的例子开发过程(Artificial neural networks are based on the development of linear neural network matlab examples of the development process)

P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理(P0301: digital image data display matrix and its Fourier transform P0302: Two-dimensional discrete cosine transform image compression P0303: gray-scale transformation of the methods used to enhance image contrast P0304: Histogram of homogenization P0305: simulated images by the Gaussian white noise and salt and pepper noise P0306: A two-dimensional median filter function medfilt2 by the salt and pepper noise to the image filtering P0307: the use of MATLAB function in the noise interference of filter2 images mean filter P0308: Wehner adaptive image filtering P0309: the use of five kinds of different gradient enhanced image sharpening method P0310: the image of the high-pass filter and mask to deal with P0311: the use of Butterworth (Butterworth) low pass filter on the subject of the image noise smoothing P0312: the use of Butterworth (Butterworth) high-pass filter for sharpening images)

混沌优化算法仿真实例，logistic映射产生混沌序列，求取函数极值。(Chaos optimization algorithm simulation example, logistic map chaotic sequence to strike function extremum.)

计算高斯光束束腰半径调节compute guassian beam (compute guassian beam )

icp算法源代码，主要用于点云拼合，是基于matlab上编写的。(icp algorithm source code, mainly used for point cloud assembly is prepared based on matlab.)

通过normxcorr2算法进行目标的识别。(By normxcorr2 target recognition algorithm.)

说明：  基于短时能量 短时过零率 自相关函数的语音清浊分类算法(Zero based on short-term rate of short-term energy autocorrelation function of speech voicing classification algorithm)