Notch-good-example

采用Simulink仿真工具，通过对二元对称信道的仿真，研究信道编码（如Turbo码等）对误码率的改善情况。(Simulink simulation tool used, through the binary symmetric channel simulation to study the channel coding (such as Turbo code, etc.) on the error rate to improve the situation.)

《数字信号处理实验指导书（MATLAB 版）》 著者： （美）米特拉著 作译者： 孙洪等译 ISBN号： 7-121-00700-2 出版日期： 2005-01 出版社：电子工业出版社 内有书中个例子的源代程序。MAC，PC及UNIX环境下运行的不同代码。()

antenna empedans in matlab

一个单位负反馈系统的根轨迹法超前校正。可直接在matlab中打开并运行。(A negative feedback system unit root locus method leading correction. Directly in matlab open and run.)

分割,并提取图片中任意物体,matlab编译通过.(segmentation, and extracts the pictures of arbitrary objects, Matlab compile.)

卡尔曼滤波的源代码，里面包括了权向量的计算以及MSE的偏差曲线(Kalman filtering of the source code, which includes the calculation of the weight vector and the MSE deviation curve)

1.实验目的：绘制分形图案并分析其特点。  2.实验内容：绘制Koch曲线、Sierpinski三角形和树木花草图形，观察这些图形的局部和原来分形图形的关系。  3.实验思路：利用函数反复调用自己来模拟分形构造时的迭代过程，当迭代指标n为0时运行作图操作，否则继续迭代(1. Purpose: Draw fractal patterns and analyze their characteristics. 2. Experiment: Draw Koch curve, Sierpinski triangle graphic flowers and trees, observe the relationship between the local and original graphics fractal graphics. 3. Experiment idea: using the function calls itself repeatedly to simulate the iterative process when the fractal structure, when the iteration index n is plotted 0:00 run, otherwise continue iterating)

Plot tutorial is using to calculate in Histogram Matlab

若不希望用与估计输入信号矢量有关的相关矩阵来加快LMS算法的收敛速度，那么可用变步长方法来缩短其自适应收敛过程，其中一个主要的方法是归一化LMS算法（NLMS算法），变步长 的更新公式可写成 W（n+1）=w（n）+ e（n）x（n） =w（n）+ （3.1） 式中， = e（n）x（n）表示滤波权矢量迭代更新的调整量。为了达到快速收敛的目的，必须合适的选择变步长 的值，一个可能策略是尽可能多地减少瞬时平方误差，即用瞬时平方误差作为均方误差的MSE简单估计，这也是LMS算法的基本思想。 (Want to estimate if the input signal vector and the relevant matrix to speed up the convergence rate of LMS algorithm, then the variable step size method can be used to shorten its adaptive convergence process, one of the main method is normalized LMS algorithm (NLMS algorithm) , variable step-size update formula can be written W (n+ 1) = w (n)+ e (n) x (n) = w (n)+ (3.1) where, = e (n) x (n) the right to express filter update vector iterative adjust the volume. In order to achieve the purpose of fast convergence, we must choose the appropriate value of variable step size, a possible strategy is as much as possible to reduce the instantaneous squared error, which uses the instantaneous squared error as the mean square error MSE of the simple estimate, which is the basic LMS algorithm思想.)

说明：  采用最小二乘法进行系统辨识，本例是一个简短的例程序。(System identification using the least square method, in this case is a short example program.)