DMC

1d shrodinger equation with CN method

通过寻找Z变换矩阵，对给定矩阵进行降相关运算。相关专业的朋友懂的。(By finding the transformation matrix Z, given the lower correlation matrix operations. Relevant professional friends understand.)

说明：  一个MATLAB计算器程序,图形界面的 ,不过有个小BUG希望大家能(a calculator program, a graphical interface, but there is a small BUG hope we can s)

ofdm系统仿真用QAM调制的，有信号传输后的频谱图(ofdm simulation using QAM modulation)

g729音频编解码，完整的matlab程序(G729 audio codec, complete matlab program)

软限幅效应,量化阶数及取样间隔对直扩数字匹配滤性能的影响 郭南1996 本文以典型的AID变换量化器和改进型抖动噪声量化器为倒t研究几个数字化参数对 直接序列扩频(DS／SS)数字匹配滤渡／相关性能(系统的处理增益和误比特率)的影响，给出理论分 析及计算机模拟结果 用最优化方法研究最佳软限幅问题；指出增加量化比特数与引入抖动噪声 相比能更有救地改善系统性能，而且只要采用三比特的量化就能使系统性能接近无穷量他的效 果．文中还讨论了取洋间隔以及噪声的归一化带宽对系统性能的影响。本文的结果可为台理设计 直扩数字匹配撼披器，相关器提供必要的理论依据。(Soft limiter effect of quantization and sampling intervals on the order of DS digital matched filter performance Guo South 1996 In this paper, a typical quantization AID transform quantization noise and improved jitter inverted t examine several parameters on the digital direct sequence spread frequency (DS/SS) digital matched filter crossing/relative performance (system processing gain and bit error rate) of given theoretical analysis and computer simulation results using optimization method of optimal soft limiter problem pointed out that the increase in quantization bits Number and introduce jitter noise can be more saved than to improve system performance, and as long as the three-bit quantization of the system performance can be substantially infinite amount of his effect. The paper also discusses the fetch interval and ocean noise normalized bandwidth impact on system performance. The results of this paper designed for station management shake Phi DS digital matched device, prov)

说明：  已知一组数据,如何用matlab画出它的概率密度分布图,给出具体程序 并且得出分布图后,如何对图进行积分,进而得到分布函数(Given a set of data, how to draw it with matlab probability density distribution maps, specific procedures are given and draw maps, how points on the graph, and then by distribution function)

在matlab环境下编写的拉格朗日代码，有需要的可以看看(Lagrangian code written in matlab environment)

this is the code to illustrate movement(image processing in matlab

基于LMS自适应时延估计算法，可以进行时间延迟估计。(Delay estimation algorithm based on LMS adaptive research based on the fractional lower order time delay estimation algorithm, including: covariation-based time delay estimation, based on the fractional lower order covariance delay estimation method, as well as the minimum norm when the average P delay estimation method.)