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用鍵合圖方法進行建模的汽車懸架仿真 m文件 可改參數(bond graph)

有选择性的输入指纹，并对指纹分块，计算点方向图以及块方向图。(Selective input fingerprint, and fingerprint block, calculate points, and block pattern pattern.)

here is a program draw tiế p tuyế n above MATLAB

熟悉MATLAB的GUI界面，创建GUI界面。(Familiar with the MATLAB GUI interface to create a GUI interface.)

一个用MATLAB编的图像效果，丘比特之箭穿双心哦(A series of images using MATLAB effect, Cupid wear double heart oh)

Single phase A.C. voltage controller using matlab simulink

toadv hop localization algorithm

MUSIC算法[1] 是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(algorithm MUSIC is a method based on matrix feature space decomposition. From a geometric point of view, the signal processing of the observation space can be decomposed into signal subspace and noise subspace, it is clear that these two spaces are orthogonal. Signal subspace by the array received data covariance matrix and signal corresponding to the feature vector and noise subspace is by the covariance matrix of all minimum feature values (noise variance) corresponding to the feature vectors are composed. MUSIC algorithm is to use the orthogonal characteristics of these two complementary space to estimate the azimuth of spatial signals. All vectors of the noise subspace are used to construct spectral, and the peak position in all spatial azimuth spectra correspond to the direction of arrival of the signal. MUSIC algorithm greatly improves the direction finding resolution, and at the same time it is suitable for the antenna array of any shape, but the prototype MUSIC algorithm requir)

glonass matlab的程序仿真程序 简洁 但是功能好 请放心下载(glonass matlab process simulation program features simple but good, please be assured Download)

Effect of wind speed characteristics on DFIG performance