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matlab中的巴特沃斯滤波器的C语言实现(matlab butterworth filter in C language)

基于FFT的CA码捕获算法请需要的请下载(acquisition algorithm)

a Matlab code to simulate the semiconductor laser

bp 神经网络用于学习预测的MATLAB程序源代码 可以根据子的需要进行修改 (bp neural network prediction for learning MATLAB program source code can be modified according to the needs of the child)

matlab的优秀编程实例，可以借鉴学习一下(matlab examples of excellent programming, you can learn from what)

牛頓優化算法，matlab代碼，已經驗證過可運行出正確結果(Newton optimization algorithm, matlab code has been verified to run the correct results)

该实例主要功能： 1、演示了GUI界面的布局和效果； 2、演示了togglebutton、pushbutton对simulink模块参数的设置方法； 3、演示了Edit text 和slider的联合使用，及利用edit text 和slider 对simulink 参数的动态修改； 4、演示了simulink参数在GUI上的显示和更显； 5、语句进行了注释，为便于编译没用中文，大家凑或者看吧！(The main functions of examples: 1, presentation of the layout of the GUI interface and effectiveness 2, demonstrated togglebutton, pushbutton module to simulink Ways parameters 3, Edit text and to demonstrate the joint use of slider, and the use of the slider and edit text simulink dynamic parameters modified 4, demonstrated on simulink parameter GUI at the display and more 5, statement to the Notes, in order to facilitate the compiler no English, or U.S. Check it out together!)

matlab code mobile communications

The Haar transform can be expressed in the matrix form as T = HIHT (inverse transform HTTH) where I is an NxN image matrix, H is an NxN transformation matrix and T is the resulting NxN transform. For Haar transform, the transformation matrix H contains the Haar basis functions hk(x). They are defined on a continuous, closed interval, x -[0, 1] for k = 0,1,2 ...,N -1 where N = 2n.( The Haar transform can be expressed in the matrix form as T = HIHT (inverse transform HTTH) where I is an NxN image matrix, H is an NxN transformation matrix and T is the resulting NxN transform. For Haar transform, the transformation matrix H contains the Haar basis functions hk(x). They are defined on a continuous, closed interval, x-[0, 1] for k = 0,1,2 ...,N-1 where N = 2n.)

A Matlab Solver for Large-Scale ℓ 1-Regularized Least Squares Problems