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此为，计算地震信号频谱的MATLAB程序，效果较好。可以看到不同道数的频谱(This is calculated seismic signal spectrum MATLAB program is better. Can see that the number of different spectrum Road)

无线通信系统仿真，对基站的设置，SIR的仿真，环绕法等(Wireless communication system simulation of the cell sites set up and location)

duffing系统各参数变化引起的分岔,如激励频率，线性参数k1，还能计算李亚普洛夫指数(duffing system bifurcation parameter variations)

this is the program for lexicogapicaly sortind the rows of matrox...be benifited of this

关于ofdm的基本原理的总结概括，框图和公式的总结和汇总(On ofdm summed up the fundamental principles, block diagram and a summary of the formula and summary)

MATLAB7.0 中的模拟仿真软件Simulink 仿真设计AM、DSB、SSB调制与解调系统。完成调制信号分析，并绘制相关的波形图及频谱图。(The simulation MATLAB7.0 simulation software Simulink design AM, DSB, SSB modulation and demodulation system. Complete modulation signal analysis, and draw the waveform and spectrum diagram related figure.)

仿真效率很高的，包含特征值与特征向量的提取、训练样本以及最后的识别，直线阵采用切比学夫加权控制主旁瓣比，包括广义互相关函数GCC时延估计，含噪脉冲信号进行相关检测。(High simulation efficiency, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Including the generalized cross-correlation function GCC time delay estimation, Noisy pulse correlation detection signal.)

将压缩感知用于谱估计中，根据论文谱压缩感知的一些程序(Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse and compressible signals based on randomized dimensionality reduction. To recover a signal from its compressive measurements, standard CS algorithms seek the sparsest signal in some discrete basis or frame that agrees with the measurements. A great many applications feature smooth or modulated signals that are frequency sparse and can be modeled as a superposition of a small number of sinusoids. Unfortunately, such signals are only sparse in the discrete Fourier transform (DFT) domain when the sinusoid frequencies live precisely at the center of the DFT bins. When this is not the case, CS recovery performance degrades significantly. In this paper, we introduce a suite of spectral CS (SCS) recovery algorithms for arbitrary frequency sparse signals. The key ingredients are an over-sampled DFT frame, a signal model that inhibits closely spaced sinusoids, and classical sinusoid parameter e)

卡尔曼滤波程序，C++/C,matlab.(Kalman filtering procedures, C++/C, matlab.)

利用MATLAB计算图像盒维数的M文件。自己定参数。(Image box dimension calculation)