matlab_code5

基于LS和MMSE算法实现信道估计，采用块序列(Based on LS and MMSE algorithm, realized channel estimation )

小波消噪算法我用的小波消噪算法我用的小波消噪算法我用的(Wavelet denoising method I use)

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)

This program give examples on how to sample from normal distribution

ASk调制与解调(MATLAB) 可以在MATLAB上直接运行(ASk modulation and demodulation (MATLAB) can directly run MATLAB)

This toolbox is meant to facilitate the manipulation of images and video in Matlab. Its purpose is to complement, not replace, Matlab s Image Processing Toolbox, and in fact it requires that the Matlab Image  Toolbox be installed.    Emphasis has  been placed on code efficiency and code reuse.

Matlab Filter Implementation In this section, we will implement (in matlab) the simplest lowpass filter $displaystyle y(n) = x(n) + x(n-1), n=1,2,ldots,N $ (from Eq.$ ,$(1.1)). For the simplest lowpass filter, we had two program listings: Fig.1.3 listed simplp for filtering one block of data, and Fig.1.4 listed a main program for testing simplp. In matlab, there is a built-in function called filter3.3 which will implement simplp as a special case. The syntax is y = filter (B, A, x) where x is the input signal (a vector of any length), y is the output signal (returned equal in length to x), A is a vector of filter feedback coefficients, and B is a vector of filter feedforward coefficients. The filter function performs the following iteration over the elements of x to implement any causal, finite-order, linear, time-invariant digital filter:3.4

牛顿拉夫逊的matlab程序，可以用，已验证。(Newton Raphson method)

The file introduces a modified method for maximum power point tracking of a photovoltaic array by the short circuit method.

算术编码简单例子，对于初学者会有很大的帮助。(Simple example of arithmetic coding, for beginners, there will be a great help.)