matlabdrawaFFT

Metodo biseccion con manual

说明：  摘要：简述信道编码理论，详细说明分组码的编译原理、实现方法及检错纠错能力，用MATLAB仿真有无信道编码条件下对通信系统性能的影响及信道编码在不同信道下对通信系统性能的影响，如AWGN信道和深衰落信道。 关键词：信道编码、分组码、MATLAB仿真、性能 (Abstract: This paper describes channel coding theory, the detailed block code compiler theory, implementation method, and error detection and correction capabilities, with the MATLAB simulation without channel coding conditions on the communication system performance and channel coding in the different channels of communication systems properties, such as deep fading channel and AWGN channel. Keywords: channel coding, block codes, MATLAB simulation, performance)

Tutorial matlab untuk pemula lagi

一个用matlab编写的一维FDTD算法程序，与大家共享(using Matlab to prepare a one-dimensional FDTD algorithm procedures, and share)

this is mimo waterpouring system.

一种基于稀疏变量的欠定盲分离算法，很好用，大家试一下。(Underdetermined blind separation algorithm based on sparse variables)

利用VC和Matlab混合编程,Release文件夹下可直接运行，绘出2D和3D图形。并且可以在VC 6.0环境下调试，注意文件夹中的readme文档说明。(Using VC and Matlab to program, Release folder can be run directly, draw 2D and 3D graphics. And it can debugging in VC 6.0 environment, pay attention to the folder readme documentation.)

说明：  FNFB模擬，本論文旨在針對一自平衡兩輪電動車，發展兩種智慧適應運動控制策略及其嵌入式控制器研製技術。本文使用三星S3C2410 ARM處理器製作一台嵌入式控制器，用以實現所提的智慧適應型運動控制策略。藉由已發展的非線性數學模型，兩種結合模糊基礎網路(FBFN)之智慧適應型運動控制策略被提出，用以達成速度追蹤與轉向角速度控制。第一種智慧適應型運動控制方法使用模糊基礎網路近似學習模型不確定與時變的摩擦力，而第二種智慧適應型運動控制方法則採用模糊基礎網路直接學習該非線性控制器的能力。電腦模擬及實驗結果證實本文所建立的控制器有能力提供適當的控制動作，使得車體依照駕駛者的需求動作。(FNFB simulationThis thesis develops techniques for intelligent adaptive motion control and implementation of a self-balancing two-wheeled transporter. An embedded controller using Samsung S3C2410 ARM-9 processor is constructed to implement proposed motion control laws. With the nonlinear model of the vehicle, two kinds of intelligent adaptive motion controllers using fuzzy basis-function networks (FBFNs) are respectively proposed to achieve speed tracking )

one paper about the power system electronic ieee

说明：  下面的程序是求多项式y=x^6-10x^5-26x^4+344x^3+193x^2-1846x-1680在区间[-8,8]的最小值，误差不超过0.001。对于这个复杂的多项式，可先用matlab绘制函数的大概曲线，确认函数的最小值大概处于[-8,8]之间，再用本程序求出精确解。 (The following procedure is a polynomial y = x ^ 6-10x ^ 5-26x ^ 4+344 x ^ 3+193 x ^ 2-1846x-1680 in the interval [-8,8] of the minimum error is not more than 0.001. This is a complex polynomial, can first draw function with matlab about curves, to confirm the function of the minimum are probably in [-8,8] range, and then find the exact solution of this program.)