DWT_new

Script for computing BER with Binary Convolutional Code and Viterbi decoding with finite survivor state memory Convolutional code of Rate-1/2, Generator polynomial - [7,5] octal Hard decision and soft decison decoding is used.

数字图像处理第二版（matlab版）第二章课本源代码(Digital Image Processing, second edition (Matlab version) second chapter of the textbook source code)

十种简单滤波和卡尔曼滤波的分析比较,是在matlab上面运行的，(Comparative analysis of ten simple filtering and Kalman filter, is running in matlab above)

论文主要研究了自适应滤波器的基本结构和最小均方误差算法(LMS算法)，同时采用MATLAB语言对该算法进行了仿真，然后使用SY-5402EVM 评估板对其进行了DSP 实现，并对结果进行了分析。(Paper studied the basic structure of adaptive filter and minimum mean square error algorithm (LMS algorithm), while the use of MATLAB language simulation of the algorithm, and then use the SY-5402EVM a DSP evaluation board for its realization, and the results analyzed.)

利用传输矩阵方法，对均匀光栅的反射谱模拟(Uniform grating reflection spectrum simulated using the transfer matrix method)

多元回归，利用matlab通过数据的大致分布，求得相应的函数表达式。(finding the function through datas by Matlab )

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)

主要介绍16QAM调制算法，以及这个算法的简单应用(This paper mainly introduces the 16QAM modulation algorithm and its simple application.)

基于MATLAB三维数字地形图在库区冲淤分析中的应用(MATLAB-based three-dimensional digital terrain map erosion and deposition in the reservoir area analysis)

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