opt

说明：  严格的说，Matlab并不是一种计算机语言，因为用它编写出来的程序并不能脱离Matlab环境而执行，但从功能上说，Matlab已经完全具备了计算机语言的结构和性能，因此我们也习惯的称之为Matlab语言。(Strictly speaking, Matlab is not a computer language, because it is written out using the procedure and not from the Matlab environment, the execution, but functions on that, Matlab has all have the structure and properties of computer languages, so we used the called Matlab language.)

说明：  MATLAB7辅助控制系统设计与仿真 书中的原码 第2章.rar(MATLAB7 assisted control system design and simulation of the original code book, Chapter 2. Rar)

4.1 数据寻址方式 4.1.1 立即数寻址方式 4.1.2 寄存器寻址方式 4.1.3 存储器寻址方式 4.2 数据传送类指令 4.2.1 数据传送指令 4.2.2 堆栈操作指令 4.2.3 地址传送指令 4.3 算术运算类指令 4.3.1 加法指令 4.3.2 减法指令 4.3.3 乘法除法等指(you can see see)

对给定语料估计其基音周期。 要求用MATLAB或C语言实现有关基音检测算法，并给出检测结果。 (For a given corpus to estimate the pitch period. Required to use MATLAB or C language realization of the pitch detection algorithm, and gives test results.)

分岔图程序，有关位移方面的，很实用，可下载参考。(The bifurcation diagram of procedure, the displacement of aspects, very practical, you can download the reference.)

有目标的线性调频脉冲雷达仿真；把参数带入文件中函数形参即可调试。(Chirp radar target simulation function parameter can debug parameters into the file.)

MATLAB CODE FOR POWER FLOW 2

说明：  基于matlab解决不同时间序列长度相似度计算。(Solve the calculation of similarity of different time series length based on matlab.)

绍了数字通信中的Q PSK 调制解调的原理和过程, 通过用M atlab 对这一过程的编程, 分析信号在 理想信道和加噪信道中模拟传输时的时域图, 并用蒙特卡罗方法, 讨论模拟过程中的误码率, 所得结果与理论 结果基本一致. 关键词:Q PSK 系统仿真 蒙特卡罗分析 M atlab(Shaozeng digital communications Q PSK modulation and demodulation principle and process, M atlab through the process of programming, analysis of signal processing in the ideal channel noise channel analog transmission of time-domain diagram, and Monte Carlo methods discussed in the process of simulation BER results are basically consistent with the theoretical results. Key words: Q PSK System Simulation Monte Carlo Analysis of M atlab)

仿真对象如下： 其中， v( k )为服从N (0,1) 分布的白噪声。输入信号u ( k) 采用M 序列，幅度为 1。M 序列由 9 级移位寄存器产生，x(i)=x(i-4)⊕x(i-9)。 选择如下辨识模型： 加权阵取Λ = I。 衰减因子β = 0.98，数据长度 L = 402。 辨识结果与理论值比较，基本相同。辨识结果可信 (he simulation object is as follows: among them, v (k) to obey N (0, 1) distribution of white noise. The input signal u (k) using M sequence, amplitude is 1. M sequence by 9 level shift register generation, x (I) = x (I- 4) ⊕ x (I- 9). Choose the identification model: weighted array take Λ = I. Attenuation factor β = 0.98, the data length L = 402. Identify the theoretical calculation and comparison, basically the same. Identification results are reliable)