matlab

approximate solutions of 4th order ODE using the Runge–Kutta method (RK4)

MATLAB GRAPHICS ANALYSIS CODE

基于数值分析方法的多项式最小二乘法拟合，matlab(Polynomial least squares fitting based on numerical analysis method)

PSS primary synchronization signal in the time domain simulation related, For lack of EMD, Transceiver contains two client programs.

统计信号处理-Fundamentals of Statistical Singal Processing习题答案(Statistical Signal Processing-Fundamentals of Statistical Singal Processing Exercises answer)

disorder extraction for medical images im matlab. It takes in put as diseas image and send recognize it

说明：  本程序为利用matlab求解微分方程的源程序及相关例子.(matlab.)

说明：  基于matlab的课程设计，功能是实现AM信号的解调，运用了两种方法实现。(Matlab-based curriculum design, function is to achieve the AM signal demodulation, the use of two methods to achieve.)

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)

用MATLAB实现动态聚类或迭代自组织数据分析，主要为数据分析和统计，D-S证据理论数据融合。( Using MATLAB dynamic clustering or iterative self-organizing data analysis, Mainly for data analysis and statistics, D-S evidence theory data fusion.)