esprit_doa

查询公交，查询公交，查询公交，查询公交，查询公交，查询公交(Search bus)

Matlab simulation for drawing the BER plot of the LTE turbo code, using either the BCJR algorithm or the fully-parallel algorithm. Copyright (C) 2013 Robert G. Maunder The simulation can be started by running the main.m script. This can be modified to either the BCJR algorithm or the fully-parallel algorithm, as well as to the frame length N. As the simulation proceeds, it will gradually plot the BER that can be achieved using various number of decoding iterations, as selected in main.m. A greater number of decoding iterations will give a lower BER. The script main.m can also be modified to make the BER plots smoother and reach lower BERs, at the cost of making the simulation run slower.

用matlab编程计算积分，包括梯形算法，龙贝格算法，高斯算法，通过具体案例得到最终结果(Calculation of integrals with MATLAB programming, including trapezoidal algorithm, Romberg algorithm, Gauss algorithm, the final results are obtained through the concrete case)

使用滞环比较器实现滞环控制的PWM整流器模型(Hysteresis comparator hysteresis-controlled PWM rectifier model)

统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines( This section should give the reader a quick overview of the methods implemented in STPRtool. • Analysis of linear discriminant function: Perceptron algorithm and multiclass modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection of known algorithms solving the Generalized Anderson’s Task. • Feature extraction: Linear Discriminant Analysis. Principal Component Analysis (PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis. • Probability distribution estimation and clustering: Gaussian Mixture Models. Expectation-Maximization algorithm. Minimax probability estimation. K-means clustering. • Support Vector and other Kernel Machines: Sequential Minimal Optimizer (SMO). Matlab Optimization toolbox based algorithms. Interface to the SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers. Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell- Demyanov-Molozenov algorithm )

请大家放心使用，本程序为用MATLAB语言描写的循环码。(Please rest assured to use, the procedures for the use of MATLAB language description of the cyclic code.)

说明：  Matlab讲义，讲解Matlab的基本使用方法，适合入门者学习(Matlab lectures to explain the basic use of Matlab for beginners to learn)

说明：  主要讲matlab的基本功能函数及其应用的方法(Main speakers matlab basic functions and its applications)

过于滤波，采用卡尔曼滤波有关的方法。比较简单。打开文件，希望有用(kalman filter)

噪声信号功率谱分析，适合从事振动噪声信号处理的工程师或学生学习(Power spectrum analysis in matalb)