OFDM_64QAM_R14

直驱型风力发电并网模型的simulink仿真。 可以运行。(Direct drive wind power generation and network model simulink simulation. Can run.)

kalman filter This script implements the linear filter and shows its performance On a second order under-damped LTI systems In the first part, a noisy model with two state variables is simulated and in the second part, kalman filtering is applied to estimate the real observations

Computational Photonics, An Introduction with MATLAB

近似熵是由pincus在1991年提出的一种度量序列的复杂性和统计量化的规则(Approximate entropy pincus proposed in 1991 a measure of the complexity of the sequence and statistical quantization rules)

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 algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.

利用迭代格式及Aitken加速后的新迭代格式求解方程，实现用的语言为matlab。 (Iterative scheme and Aitken accelerated iterative scheme to solve the equation.)

MATLAB图像处理-基于高频强调滤波和直方均衡化图像增强(MATLAB image processing- based on high frequency emphasis filtering and histogram equalization image enhancement)

学习APF过程中的读书笔记和MATLAB仿真模型(Reading notes and MATLAB simulation models in learning APF process)

说明：  matlab代码，实现神经网络中的BP算法-误差反向传播算法，用于分类，拟合和非线性系统建模等多种问题(An example of BP neural network)