squel

判断图的连通性，有warshall和矩阵幂判断两种方法。(To determine the connectivity of the graph)

初步学习采样和重建信号。包括源程序和报告书。(Preliminary study of sampling and reconstruction of the signal. Including the source and report.)

一个雷达检测运动目标的仿真程序源代码,与同行共享(A radar simulation program source code for moving target detection)

主成分分析法，包含说明文档和5个MATLAB文件(Principal component analysis, including documentation and 5 MATLAB files)

语音前端处理，可用于端点检测。非常实用的程序。(Voice front-end processing, can be used for endpoint detection. A very useful program. )

几个sumlink的例程（可以参考一下如何搭建模型）(The several sumlink routine (you can refer to How to build a model))

Bit error rate performance of BPSK over Rayleigh fading wireless channel and its comparison with ber of BPSK transmission over AWGN channel.

在无标度的网络中，按节点度的大小从大到小的顺序进行攻击(In scale-free network, according to the size of the node degrees big to small order)

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation, a codebook of transfer functions is proposed in a matching pursuit (MP) framework for CS recovery. It is found that MP is efficient and effective to recover CS encoded speech as well as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge to the same linear transform as direct VQ of the LP vector derived the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain approximation for a large variety of speech spectra.

说明：  OFDM系统发送和接收的MATLAB程序,其中包括传输信道模型(OFDM systems to send and receive the MATLAB program, including the transmission channel model)