Simulation-of-Weibull-Sea-Clutter

说明：  利用MATLAB实现的带参数的方程的求解，可以改变参数进行任何复杂的运算。(Equations with parameters using MATLAB, you can change the parameters of any complex calculations.)

it is a matlabe code

三次样条的插值计算，实验结果很好，经度可达到负二次方。(Cubic spline interpolation, the experimental results very well, longitude to the negative quadratic.)

基于SIFT的光流运动检测，能够解决遮挡问题，有效提高检测的精度。(SIFT-based optical flow motion detection, can solve the occlusion problem, improve detection accuracy.)

修正的lms算法，我做毕设的资料，希望对大家有帮助(Modified lms algorithm, I do complete data set, we want to help)

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)

DMI WITH N EQUAL TO 4,8,20

phase locked loop pll as fm demodulator

说明：  AR model for speech synthesis

基于MATLAB的发动机功率计算优化方法研究(Engine power calculation based on MATLAB Optimization Method)