jiyinjiance

说明：  求解四种佐布尼兹方程近似公式的反射系数，比较方便的m文件(reflection of zoepprtize appoximation)

this code contains coding of amplify and forward with the comparision of ser and snr

Crout s algorithm is used when the inversion of large matrices, say 1000X1000 is difficult. So Crout s algorithm uses LU decomposition method to get the same results as the inversion of Matrix.

说明：  空时编码的基于Matlab的应用迫零算法的译码仿真(Space-time coding applications based on Matlab zero forcing decoding algorithm simulation)

多通道语音回声消除的频率空间算法，空间传递函数自己模拟(Multi-channel echo cancellation frequency domain algorithm)

编写M文件，创建如下图形窗口，分别绘制如下图所示的曲线。 （1）曲线y=sin(t)sin(9t)，要求采用红色，点线。横坐标取值范围[0~ ]，标注x轴、y轴并加标题。 （2）一组余弦曲线，其振幅分别为0.4，0.6和0.8。横坐标取值范围[0~2 ]。添加图例与标题。进入图形编辑状态，调整图例的位置。 （3）分别绘制peaks函数的曲面图和网格线图。对曲面图做平滑处理，并添加标题与colorbar。 (Write M file, create the following graphics window, curves were plotted as shown below. (A) the curve y = sin (t) sin (9t), require the use of a red dotted line. The abscissa in the range [0 ~  ], labeled x-axis, y-axis and a title. (2) a set of a cosine curve, and the amplitude was 0.4, 0.6, 0.8. Abscissa value range [0 ~ 2  ]. Add a legend and title. Into the graphical editing mode, adjust the position of the legend. (3) were drawn surface chart peaks function and grid line graph. Surface charts do for smoothing and add titles and colorbar.)

File is having matlab code for removing green pixel from image

现代光化学综述，是对《现代光化学》的总结和基本概念介绍(Modern photochemical reviewed, is the " modern photochemical" summary and basic concepts)

will automatically delete the directory of debug and release, so please do not put files on these two directory

The aim of the assignment is to understand the concept of the image enhancement stage We need to know the technique to improve the image or better input for the image processing technique as in the assignment. In the first part of the assignment is the segmentation using thresholding technique. Before we threshold the image, we need to prepare the better image for input such as histogram equalization to stretch the intensity value of the image before converting to binary image. In the second part of the assignment is about frequency domain. We need to transform the spatial image to frequency image using Fourier transform of the image before using the filter.