Qu2

ppt simulink 很好的ppt 简单易懂(ppt simulink)

说明：  数字信号处理的matlab程序，程序的功能是对数字信号进行分析(Matlab digital signal analysis)

主要接受了神经网络各个方面的应用，以及matlab代码的具体实现！(the use of neural networks with matlab code !)

摘要：本文基于Matlab对约瑟夫森结（Josephson Junction）RCSJ模型的交直流I-V特性及非线性混沌现象进行数值模拟。通过计算机数值模拟得到该模型的非线性微分方程数值解，研究了RCSJ模型中各参量对约瑟夫森结的影响，进而简要分析其I-V特性和非线性混沌现象的产生机理，绘制出约瑟夫森结的交直流I-V特性曲线、非线性微分方程的相图及因其高度非线性而引起的通过倍周期分岔和阵发性原理进入混沌状态的分岔图。 关键词：超导器件 隧道效应 约瑟夫森结 弱耦合 倍周期分岔 庞加莱截面 混沌 (Abstract: Matlab-based Josephson junction on the (Josephson Junction) RCSJ model AC and DC IV characteristics and non-linear numerical simulation of chaotic phenomena. Through computer simulation model by the numerical solution of nonlinear differential equations to study the RCSJ model parameters on the impact of Josephson junction, and a brief analysis of the IV characteristics and the emergence of the phenomenon of non-linear chaotic mechanism, drawn Josephson junction IV characteristic curve of AC-DC, non-linear differential equations and the phase diagram because of its highly nonlinear arising through period-doubling bifurcation and chaotic state of paroxysmal principle of access to the bifurcation diagram. Key words: superconducting devices tunnel effect Josephson junction weakly coupled period-doubling bifurcation chaotic Poincare section)

运用MATLAB编程实现计算两序列x1(n)={1,2,3,4,5},x2(n)={1,2,3,4,5,4,3,2,1}的圆周卷积(Calculated using MATLAB programming to achieve the two sequences x1 (n) = (1,2,3,4,5), x2 (n) = (1,2,3,4,5,4,3,2,1) of circular convolution)

灰色预测模型GM（1，n）模型的matlab源代码，包括预测模型的建立，以及模型的精度检验指标c,p的计算(Grey prediction model GM (1, n) model matlab source code, including the prediction model and the precision test indicators c, p calculation)

利用FFT捕获PN码，并计算不同信噪比下的检测概率。(Capture PN code with FFT, and calculate the probability of detection under different signal to noise ratio.)

说明：  这是一个可以实现ARIMA的预测程序，程序有标注，好理解。(This is a prediction program that can realize Arima. The program is labeled and easy to understand.)

用matlab仿真的八路时分复用系统，包括变速复接巴克码解复(Matlab simulation with eight-way time-division multiplexing system, including the Barker code transmission multiplexing demultiplexing)

First keep in mind that this is not a Matlab tutorial. This is just a list of tricks I have found useful while writing the toolboxes available on the Matlab Central repository.