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這是一個類神經網路中倒傳遞類神經網路，應用於圖形識別上，可以把兩個不同分類的點，藉由BP找出他的分割線進行區分(This is a type of neural network back-propagation neural network applied to pattern recognition, it can be classified into two different points, by BP to find his distinction between partition lines)

说明：  基于小波变换的二进制相移键控系统，BPSK信号检测 (Wavelet-based binary phase shift keying system)

六相永磁电机dq0建模方法,内含电压方程模块，磁链模块，转矩模块等(modeling sixphase pmsm based on dq0)

This paper addresses the problem of segmenting an image into regions. We defi ne a predicate for measuring the evidence for a boundary between two regions using a graph-based representation of the image. We then develop an effi cient segmentation algorithm based on this predicate, and show that although this algorithm makes greedy decisions it produces segmentations that satisfy global properties. We apply the al-gorithm to image segmentation using two diff erent kinds of local neighborhoods in constructing the graph, and illustrate the results with both real and synthetic images. The algorithm runs in time nearly linear in the number of graph edges and is also fast in practice. An important characteristic of the method is its ability to preserve detail in low-variability image regions while ignoring detail in high-variability regions.

基于matlab的12脉波整流电路的仿真文件 ，可以观察波形(Matlab-based simulation files 12-pulse rectifier circuit)

运行源程序channel-coeff后，可以产生MIMO衰落信道，用I-METRA方法对信道衰落进行建模( After running the source channel-coeff, can produce MIMO fading channels, with I-METRA channel fading method for modeling)

有借鉴意义哦，用MATLAB实现的压缩传感，空间目标识别，采用PM算法。( There are reference Oh, Using MATLAB compressed sensing, Space target recognition algorithm using PM.)

关于无线通信的一些书籍，经典教材。全是PDF，清晰。保证能用(Some books on wireless communications, the classic textbook. All PDF, clear. Guaranteed to)

Widrow的《自适应信号处理》经典教材中的LMS算法仿真程序，适合初学者学习。(Widrow " adaptive signal processing" classic textbook in the LMS algorithm simulation program for beginners to learn.)

LSI就是这样一种维数约减方法。它可以通过对“文档向量矩阵”进行解奇异值分解（SVD: Singular Value Decomposition）运算，自动计算得到一个比原始空间小得多的有效语义空间(LSI is such a dimensionality reduction method. It can be through the "document vector matrix" for the singular value decomposition (SVD: Singular Value Decomposition) operation, automatically calculated an effective semantic space is much smaller than the original space)