unconform(general)-Duan

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)

Haralick texture descriptor

捷联惯性导航的扩展卡尔曼滤波的算法，非常好用的算法(Strapdown initial navigation)

此函数实现含噪语音的信噪比的计算，以最小帧算法为基础。(Implementation of this function of the signal to noise ratio of noisy speech has calculated that, with the smallest frame-based algorithm.)

基于matlab,利用AMDF方法检测语音的基音周期(Based on matlab, the use of methods AMDF Pitch Detection of Speech)

说明：  3GPP LTE中上行链路信道模型仿真程序(3GPP LTE uplink channel model in the simulation program)

some exercices with matlab

This program is for the implementation of Symbol table using C language in which we can create a symbol table and also insert, modify, search and display the elements in the symbol table.

image processing matlab 2

FIR 滤波器的自适应模拟，通过收敛性、学习曲线等方面对RLS 算法以及LMS 算法的不同特性进行了比较(FIR Filter simulation, through the convergence of the learning curve compared with the RLS algorithm, as well as the different characteristics of the LMS algorithm)