MVDR_MMSE_MSINR

based on Newton method on load flow program that can help you better electrical system optimization

OFDM系统，有（2，1，7）卷积码编码，分组交织，viterbi译码(OFDM system, there are (2,1,7) convolutional code encoding, packet intertwined, viterbi decoding)

ANSIG algorithm to shape recognition

说明：  计算图像的偏移量，用于图像间没有旋转的图像配准(Offset images are calculated for the image registration)

Routing of packets has been the primary method by which data have been transmitted across packet networks, such as the Internet. When multiple users are interested in the same data the same source, multicast routing is typically used. However, routing alone is not sufficient to achieve the multicast capacity of a network. Ahlswede at [1] showed that using network coding that requires intermediate nodes to encode incoming data a multicast capacity equal to the minimum of the min-cut capacities of all the receivers can be achieved. This multicast capacity cannot be achieved using only routing (with or without replication). There has been a lot work going on to use network coding for multicast in satellite systems.

提供了完整的增量式支持向量机的matlab原代码程序，便于初学者学习(Provides a complete incremental SVM matlab program source code, easy for beginners to learn)

有源电力滤波器的仿真文件，可实现对谐波电流的补偿(Simulation of active power filter, can be realized on the compensation of harmonic current )

线性控制系统时域和频域性能指标计算，并绘制波特图与单位阶跃响应曲线(Linear control systems time and frequency domain performance computing, and draw Bode plots and unit step response curve)

关于经过多径信道后，对于接收到的信息进行符号速率的估计，代码简洁易懂，有完整注释(After about multipath channel, the estimate for the received information symbol rate, the code is simple and easy to understand, complete comment)

模型是结构体类型的线性投影Y = linproj(X, model) 其中W.model为线性投影矩阵， Y = model.W *X + model.b b为偏差值( Description: Y = linproj(X, model) linearly projects data in X such that Y = model.W *X+ model.b out_data = linproj(in_data, model) projects in_data.X out_data.X = model.W *in_data.X+ model.b out_data.y = in_data.y Input: model [struct] linear projection: .W [dim x ncomp] Projection matrix. .b [ncomp x 1] Bias.)