Matlab-GUI_example

IQA blind equalization method

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 matrix display and Fourier Transform P0302 : Two-dimensional discrete cosine transform image compression P0303 : Gray used a new method to enhance the contrast of the image P0304 : histogram equalization P0305 : Simulation images by white Gaussian noise and Impulse noise impact P0306 : 2D median filtering function medfilt2 right by the Salt and Pepper image noise filtering P0307 : MATLAB filter2 the function of noise interference by the image filtering P0308 : Image Adaptive Filter Weiner P0309 : use five different gradient Enhancement Act for image sharpening P0310 : Images of the high-pass filtering and mask handling P0311 : use Butterworth (Butterworth) low-pass filter to noise interference by the image smoothing P 0312 : Butterworth (Butterworth) high-pass fi)

这是本人精心做的,真的做的不好,我也是费了好大的心力来研究这个工作,也是我第一次来做关于matlab的源程序(this is carefully done, I really do not, and I also spent a lot of effort to study the work, is the first time I have to do on the source Matlab)

说明：  滚动轴承故障诊断是机械故障检测中一个重要方面。使用小波包分析和包络分析相结合的方法提取轴承微弱振动信号, 克服了传统包络分析方法易丢失信号有效成分的缺点。包络信号的细化谱较好体现了轴承故障信息。(Bearing Fault Diagnosis of mechanical fault detection in an important aspect. The use of wavelet packet analysis and envelope analysis method of combining extracts bearing vibration signal weak to overcome the traditional envelope analysis method easy to lose the signal disadvantage of the active ingredient. Refinement of the envelope signal spectrum better reflects the bearing fault information.)

利用Matlab求解Lang-Kobayashi方程(The use of Matlab in Lang-Kobayashi equation)

基于竞争学习的K质心组合聚类算法 第37卷(Combination Clustering Algorithm of K-Centroid Based on Competitive Learning)

说明：  基于卡尔曼、扩展卡尔曼滤波的雷达目标跟踪，并比较观测误差和两种滤波算法误差。(Radar target tracking based on Kalman and extended Kalman Filter,the errors of observation and two filtering algorithms are compared.)

EMD分解可以运行的MATLAB程序用于经验模态分解(Empirical Mode Decomposition Decomposition The program can be run very well with a lot of support to download)

通信原理课程设计，对信号进行量化编码，计算SQNR信号量化噪声比，信号功率，量化噪声功率信号量化噪声比 (Communication theory curriculum design, signal quantization coding to calculate the SQNR signal quantization noise ratio, signal power, the quantization noise power signal to quantization noise ratio)

stirling engine simulation with matlab