wulingyu_2

利用小波变换，也是利用多分辨率，去除图像的噪声，从而达到了去除噪声的效果。(Using wavelet transform, which uses a multi-resolution, to remove the image noise, so as to achieve the removal of the noise effect.)

编写程序将含有20个数据的数组M分成两个数组：正数组P和负数组N，并分别统计两个数组的个数，显示在屏幕上。(Write a program containing the data array 20 is divided into two arrays M: positive and negative groups Array P N, and the number of two arrays statistics were displayed on the screen.)

This program describes how kalman filter and extended kalman filter reduces error so that we get the better output

模拟从二维余弦 到量化 到分割 到Z处理的过程(simulate the process of dct quantization divide and zigzag the inverse process)

一种新的符号定时和载波频率同步算法,该算法将OFDM符号分成几部分。它使用相关性和积累在几个OFDM同步算法对OFDM系统基于试点,使用前言快速、准确获取信号,在有限的时间建立同步,利用导频跟踪同步信息(A new symbol timing and carrier frequency synchronization algorithm is presented and the algorithm divides the OFDM symbol into several parts. It uses correlation and accumulation in several OFDM a synchronization algorithms for OFDM system based on pilot, using the preamble to fast and accurate acquire signal, establish synchronization in the limited time, and using pilot to track synchronization information)

ofdm程序，供初学者使用，一些简单的源码 。Matlab(ofdm program for beginners to use, some simple source. Matlab)

这是TD算法的逆过程，首先将时间序列，划分为相邻点的短序列，当然此时的拟合误差为0，因为第一点和第二点的连线，原始点都落在线段上。将相邻两个线段连接起来，此时每条线段包含三个原始点，计算中间那个点的拟合误差。这样，所有这些三个点的线段中的中间点的拟合误差计算出来后，找出误差最小且误差小于阀值R的分段，作为第一条包含三个点的线段。 在上面的基础上，第一条分段同样的和相邻线段连接，然后计算每一条分段的拟合误差，再找出误差最小且小于阀值R的分段，作为第二个分段。依次方式循环，直到所有分段的拟合误差都小于阀值R，分段结束。 (This is the reverse process of TD algorithm, the first time series is divided into short sequences adjacent dots, of course fitting error is zero at this time, because the first and second points of connection, the original point fall line on. The two adjacent segments are connected, then each segment contains three original point, the intermediate fitting error calculated that point. Thus, after all these segments fitting error of three points in the intermediate point calculated to find the minimum error and the error is less than the threshold R segment, as the first line contains three points. Based on the above, the first segment and the adjacent line segment connecting the same, and then calculate a fitting error for each segment, and then find the smallest error and less than the threshold R segment, as the second segment . Followed by a cyclic manner until all segments fitting error is less than the threshold R, segment ends.)

ZFFT轨道信号上应用的一些文档，这些文档是从诸多文档中挑选出来的，很有参考价值。分两次上传。这是第二次上传。其中一次包括ZFFT的MATLAB实现。(The application of the track signal ZFFT some documents, these documents are from a number of selected documents, a good reference. From two. This is the second upload. One MATLAB, including the realization of the ZFFT.)

通信里的2ASK信号的产生及分析，很不错，经典实用(Communication in the 2ASK signal generation and analysis, very good, classic and practical)

matlab文件输入输出命令,对输入输出命令的详细描述(in and out description of matlab)