wenduchang

matlab程序能够实时接收COM数据并提取有关信息。(matlab program can receive real-time COM data and extract relevant information.)

实现科斯塔斯环，pll程序，仿真通过，matlab程序(pll)

fft傅里叶变换，将时序信号变换到频域坐标下，进行数据的模态分析(fft transform)

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)

利用最小二乘解法进行离散数值拟合，得到逼近曲线(Discrete least-squares method for the use of numerical simulation, the approximation curve)

Vc and matlab implement

matlab所用到的插值算法基本都包含在内！(include all of algorithm inmatlab！)

adaboost程序，演示程序，直接可以运行，修改部分程序即可运用到自己的应用中(adaboost, presentation program can run directly modify parts of the program can be applied to their own applications)

it s backpropagation neural network for iris data set

mid termd method maatlab