chapter5

说明：  　本文对变步长自适应滤波算法进行了讨论,建立了步长因子μ与误差信号e(n) 之间另一种新的非线性函数关系. 该函数比已有的sigmoid 函数简单,且在误差e(n)接近零处具有缓慢变化的特性,克服了Sigmoid 函数在 自适应稳态阶段步长调整过程中的不足. 由此函数本文得出了另一种新的变步长自适应滤波算法,并且分析了参数α,β的取值原则及对算法收敛性能的影响. 该算法有较好的收敛性能且计算量少. 计算机仿真结果与理论分析相一致,证实了该算法的收敛性能优于已有的算法.(In this paper, variable step adaptive filter algorithm to discuss the establishment of a step factor μ and the error signal e (n) between another new nonlinear function. The function has a sigmoid function than the simple and the error e (n) close to zero Department has a slow change in the characteristics of a Sigmoid function to overcome the steady-state phase in the adaptive step length adjustment during the process. this function, this paper gives another new variable step size adaptive filtering algorithms, and analysis of the parameters α, β the value principles and the convergence performance. The algorithm has better convergence performance easy to calculate. Simulation results and theoretical analysis, confirmed the convergence of the algorithm better performance than existing algorithms.)

基于CORDIC算法的DDS的FPGA设计与优化(DDS Based on CORDIC Algorithm FPGA Design and Optimization)

说明：  Sobel 算法 本程序实现了Sobel算法，利用Sobel算法可以实现图像的边缘提取(Sobel algorithm implements the procedure Sobel algorithm, using Sobel algorithm for image edge detection)

该程序为matlab程序，共有三个文件，dataC.m为程序入口，实现功能对50组数据用k均值算法进行分类，再对40组数据用感知器算法训练，然后用训练得到的判别函数对剩下10组数据分类，最后与原始分类做差比较，若分类无误，则全显示为0.(Matlab program on the program, a total of three files dataC.m for program entry features 50 sets of data with k-means algorithm to classify 40 sets of data with the training of the perceptron algorithm, and then using the trained discriminant function The remaining 10 sets of data classification, and finally with the original classification poor comparison, if the classification is correct, then the whole show.)

matlab中读取excel表格的重要途径(an important way to read excel spreadsheet matlab)

自己写的多分辨率SVD函数，普通SVD也包含在内，采用类似小波多分辨率分析进行SVD降噪、降维，奇异点求解(Multi-resolution SVD function, using wavelet-like multi-resolution analysis for SVD noise reduction, dimension reduction, singular point solution)

filtering and restoration in frequency domain

说明：  带有死区的hammerstein模型辨识(Identification of Hammerstein model with dead time)

无限长圆柱导体散射问题求解过程（矩量法）选取的基函数为脉冲基函数，权函数选取的是 (Dirac)函数。

最新的三篇有关变步长的LMS算法。由于去噪，检测等。(The latest three variable step size LMS algorithm related. Because of de-noising, testing and so on.)