matlabhanshu

非平稳信号时频分析中的S变换实现的例程及应用(Non-stationary signal analysis of time-frequency S transform realization and application of routine)

本函数将完成对输入的一维信号进行多尺度离散小波分解(This function will complete the one-dimensional signal input multi-scale wavelet decomposition)

说明：  MATLAB图像处理源程序3：程序代码说明 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(MATLAB image processing source code 3: Procedure Code Description P0301: digital image data matrix display and Fourier Transform P0302: two-dimensional discrete cosine transform image compression P0303: using gray transform 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 of function medfilt2 on the Salt and Pepper noise image filtering P0307: MATLAB functions filter2 mean filtering the noise in the image P0308: Image Adaptive Filter Weiner P0309: use five different gradient Enhancement Act for image sharpening P0310: the image of the high-pass filtering and mask handling P0311: use Butterworth (Butterworth) low-pass filter on the noise in the image smoothed P0312: use Butterworth (Butterworth) high-pass filter for image sharpening)

基础的matlab程序，适合初学人员，多读多练，我觉得很好(Matlab-based program, suitable for novice staff, and more time practicing, I feel good)

指北方位系统在捷联惯性导航系统中的matlab模拟算法(Matlab simulation algorithm north-bit system in strapdown inertial navigation system)

捷联惯导仿真，对于初学惯导的人进行matlab仿真有很大的帮助！(Simulation of SINS)

如何设置窗口的额外字节等内容，setwindowlong,getwindowlong(How to set the window extra bytes, etc.)

对信号进行wvd变换后再用霍夫变换进行特征提取(WVD transform the signal and then use the Hough transform to extract characteristic)

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fiminunc、GA、PSO三种算法优化PID参数(fiminunc, GA, PSO three algorithms to optimize PID parameters)