避障算法

Modeling and control wind turbine

main函数调用的子函数均可以随意修改,使用方便 模块包括：流程控制模块、卷积编译码模块、交织解交织模块、调制解调模块、OFDM调制解调模块、信道模块(为多径rayleigh信道)、均衡模块 可以正常运行,绝对适合做OFDM研究使用,有详细的注释,我自己写的,很容易理解. 经典收藏!! (The main function calls the subfunctions are free to modify, easy to use modules including: flow control module, convolution encoding and decoding module, interleaving solution intertwined module modem modules, the OFDM modem module, channel module (multipath rayleigh channel ), equalization module can operate normally, absolutely suitable for OFDM study used detailed notes, I wrote it myself, it is easy to understand. classic collection!)

自学matlab的好书，适应于初学者，大家好好学习哦，加油(Learning matlab' s books, adapted to beginners, we learn oh, come on)

这是matlab用户手册，对于初学者很有益，里面涉及到各个方面，很有价值的参考资料。(This is a matlab user manual, very useful for beginners, which relate to various aspects valuable reference.)

Matlab code for clustering algorithm.

说明：  压缩感知（Compressed sensing），也被称为压缩采样(Compressive sampling)，稀疏采样(Sparse sampling)，压缩传感 [1] 。它作为一个新的采样理论，它通过开发信号的稀疏特性，在远小于Nyquist 采样率的条件下，用随机采样获取信号的离散样本，然后通过非线性重建算法完美的重建信号 [1] 。压缩感知理论一经提出，就引起学术界和工业界的广泛关注。(Compressed sensing (Compressed sensing), also known as compression sampling (Compressive from), Sparse sampling (Sparse from), Compressed sensing [1].As a new sampling theory, it develops the sparse characteristics of signals, obtains the discrete samples of signals with random sampling under the condition that the sampling rate is much lower than Nyquist sampling, and then perfectly reconstructs the signals through the nonlinear reconstruction algorithm [1].Once the theory of compressed sensing was put forward, it attracted extensive attention from academia and industry.)

雷达系统仿真，发射信号为13位巴克码和线性调频混合调制的信号(Radar System Simulation, firing signal for the 13 Barker code modulation and linear frequency modulation of mixed signal)

说明：  数字图像的压缩技术，特点压缩比高，压缩速度快(digital image compression technology, features a high ratio, compression speed)

The timing_recovery_1.mdl uses Simulinks variable step solver to create a continous time QPSK signal with both carrier and symbol rate errors. This is a relativly straight forward approach, but is computationally expensive. The sescond model, timing_recovery_2Q.mdl uses a purely discrete time approach using the same fractional sample delay approach as does the receiver. This can run much faster.

输电线路双端不同步故障测距程序，matlab的程序，利用两端数据计算故障距离(Two terminal lines are not synchronized fault location procedure, matlab procedures, the use of both ends of the data to calculate the fault distance)