jacobi-gauss_seida

matlab环境下 LDPC码的编译码算法仿真(LDPC coding and decoding in MATLAB)

mat lab code for image embedding and extracting using DST

A new approach to vanishing point detection in architectural environments一种寻找消失点的新算法(A new approach to vanishing point detection in architectural environments)

this is an autoregressive model build in matlab with yule walker algorithm in a noisy channel

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least square SVM toolbox

说明：  自己编写的计算光流场的MATLAB程序，基于梯度的方法，非常简单(I have written a MATLAB calculation of optical flow procedures, based on the gradient method and it is very simple)

MPSK simulation 1. System Parameters 2. Data Generation 3. Modulation 4. AWGN 5. Demodulation 6. Detection

用Matlab编程，其中包括，FFT算法，FIR，IIR和卷积的代码(With Matlab programming, including, FFT algorithm, FIR, IIR, and convolution code)

主要讨论获得图片后如何提取其边界信息,首先利用图像灰度均匀化解决了对比度不清晰的问题,然后利用高斯滤波法对图片进行滤波去噪,进而利用Canny算法实现边缘检测提取边界,该方法与Matlab自带的求边界方法有明显的提高,为利用Matlab程序求图像分形维数提供了更精确的前提. 更多还原 (Mainly discuss how to get the picture after extracting its boundary information, the first use of the image contrast of the gray uniform solution to the problem is not clear, then use a Gaussian filtering method for image filtering noise, and then use Canny edge detection algorithm to extract the boundary, the method find boundary method comes with Matlab significantly improved procedures for the use of Matlab for image fractal dimension provides a more accurate premise. more reduction)