New1Composite_14BusMicrogrid

MATLAB 下的LDPC编码解码，自己编写，在7/0下通过验证(Decoding LDPC codes under MATLAB, I have written, in 7/0, validated)

此代码产生一个16QAM信号，通过高斯白噪声信道后，对其使用常模盲均衡算法，最后输出星座图和收敛图。(This code generates a 16QAM signal, through the white Gaussian noise channel, the norm for its use of blind equalization algorithm, the final output constellation map and the convergence plan.)

有初速度，身高，到篮筐的距离等求篮球的运动轨迹(Initial velocity, height, and distance to the basket and basketball trajectory)

不同信噪比噪音的维纳滤波程序，matlab实现(Different signal to noise ratio of noise Wiener filtering procedures, matlab implementation)

说明：  S 函数使用及应用举例，对涉及到simulink里s函数的应用有详细的解释(For example, using the S function and application of Simulink in the s function involves the application of a detailed explanation)

压缩感知程序源码，Blind compressed sensing (BCS)不需要在采样和恢复阶段预先知道稀疏基。源码对于研究压缩感知前沿具有很好的借鉴意义。(The fundamental principle underlying compressed sensing is that a signal, which is sparse under some basis representation, can be recovered from a small number of linear measurements. However, prior knowledge of the sparsity basis is essential for the recovery process. Blind compressed sensing (BCS) avoids the need to know the sparsity basis in both the sampling and the recovery process. That is, BCS aims at recovering an ensemble of vectors, all sparse under the same unknown basis, given small number of linear measurements of these vectors. )

PSO算法程序，主要应用于电力系统中潮流计算的优化算法(PSO algorithm program. Mainly used in power system optimization algorithm flow calculation)

语音信号的采集与处理，数字信号处理课设，MIT人工智能实验室的目标识别的源码,完整的图像处理课设，包含所有源代码，汽车图像。( Acquisition and Processing of the speech signal, digital signal processing class-based, MIT Artificial Intelligence Laboratory identification of the target source, Complete class-based image processing, contains all of the source code, auto image.)

image file is used for image retrieval

用于计算马氏距离，并可以用于优选近红外光谱的校正集和预测集(used in the calculation of the Mahalanobis distance, and can be used for optimization of near-infrared spectroscopy calibration set and the prediction)