chazhi

通过比较循环相加法和重叠保留法的性能，使用重叠想加法来进行音频信号的去噪(Overlap-add and overlap-save method is a method of two methods used to seek a finite sequence of linear convolution. Through performance comparison of the two methods, select the overlap-add method de-noising experiments )

生成AR(p)过程模拟的参数。满足过程的弱稳定。模拟多条样本路径，利用AIC/BIC/IC进行定阶。比较三种标准的准确性。(Generate an AR (p) process simulation parameters. Meet process weakly stable. Simulation sample path, AIC/BIC/IC order determination. Three standard accuracy.)

基于3GPP 25.996 的简化SCM信道模型，可用来生成基于SCM信道的仿真实时的信道增益的产生，到达角 给出了拉普拉斯分布 均匀分布与标准的20个子径的分布三种不同的形式。(Based on 3 GPP 25.996 simplified SCM channel model, based on SCM channel can be used to generate a simulation of real-time channel gain, arrival Angle gives the Laplace distribution uniform distribution and standard 20 is a diameter of three different forms of distribution)

This book aims to instil the reader with an understanding of the Object Oriented approach to programming and aims to develop some practical skills along the way. These practical skills will be developed by small exercises that the reader will be invited to undertake and the feedback that will be provided. The concepts that will be explained and skills developed are in common use among programmers using many modern object oriented languages and are thus transferable one language to another. However for practical purposes these concepts are explored and demonstrated using the Java programming language.

convolution programme has been attached in the zip file.

《系统辨识与MATLAB仿真.pdf》 侯媛彬 汪梅 王立琦 本书共分8章，第1、2章为辨识的基本概念、理论基础和古典辨识方法；第3至6章为现代辨识内容，其中第3章是最小二乘参数辨识，第4章是梯度校正参数辨识，第5章是极大似然法的参数辨识方法，第6章是自适应参数辨识；第7、8章为复杂的非线性系统的智能辨识和混沌辨识，其中第7章是非线性系统的神经网络辨识；第8章是Volterra辨识方法、复杂系统的混沌现象及其辨识。从第2至7章，各章均包含开发的相应程序及其程序剖析。 (" System Identification and MATLAB simulation. Pdf" Hou Yuanbin Wang Mei Wang Liqi book is divided into eight chapters, Chapters 1 and 2 for the identification of the basic concepts, theoretical foundation and classical identification methods first 3-6 chapters of modern identification content, Chapter 3 is the least squares parameter identification, Chapter 4 is the gradient correction parameter identification, Chapter 5 is the maximum likelihood parameter identification method, Chapter 6 is an adaptive parameter identification Chapters 7 and 8 for complex Intelligent identification of nonlinear systems and chaos identification, which is in Chapter 7 of the neural network nonlinear system identification Chapter 8 is Volterra identification method, complex systems and chaos identification. From the first 2-7 chapters, each chapter contains procedures for the development of appropriate programs and their analysis.)

DEBLOCKING ieee PAPERS

说明：  利用matlab解海伦方程并画出电流分布图(solutions using Matlab and paint Helen equation current distribution plan)

基本的粒子群算法以及使用具有量子行为的粒子群算法，能够很好的用于全局的寻优(The basic particle swarm optimization and the use of a quantum particle swarm behavior can be very good for the overall optimization)

细胞生长可视化,采用M语言编辑的进行细胞动画生长分析.(cell growth visualization, using M language editing animation cell growth analysis.)