mablab6.0时尚创作百例-实例91-95

长周期光纤光栅传输谱的matlab仿真，对此方面内容作了详尽阐述-长周期光纤光栅传输谱的matlab仿真(Matlab simulation of long period fiber grating transmission spectrum in this area made elaborate- long-period fiber grating transmission spectrum matlab simulation)

encoder crossover mutation

运用干涉仪进行测向交叉定位，并进行一些简要分析(Using interferometer Crossing Location, and make some brief analysis)

a source code for histogram in matlab

说明：  energy management in smart grid

matlab 二维圆柱绕流，使用波尔茨曼方法进行数值模拟(cylinder，about cylinder in lattice boltzmamn method)

RSSI线性化求解坐标，三维的RSSI的值，构成RSSI的矩阵，计算循环K次的误差曲线(Solving linear coordinates RSSI)

关于智能天线系统的matlab仿真源程序。(smart antenna systems Matlab simulation source.)

双稳态随机共振的参数寻优算法，先固定b，寻求a，画出随a的信噪比增益变化曲线(Parameter stochastic resonance 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)