种子区域生长分割

本程序执行CDMA仿真并确定半马尔克夫模型，输出为误比特率以及所需的游程。希望你能喜欢。(this program simulated the CDMA and get the HMM .the ouput are ber and run-length. i hope you can like it )

二维情况下用ＦＤＴＤ方法模拟电磁波的传播情况，没加吸收边界条件，用Ｃ和MATLAB混合编程，信号源是高斯脉冲(Two-dimensional case with the FDTD simulation of electromagnetic wave propagation, no additional absorbing boundary condition, mixed with the C and MATLAB programming, the signal source is a Gaussian pulse)

功能强大的多圈兰伯特轨道转移程序，而且还可以选择顺时针或逆时针轨道转移，本人轨道计算时使用的程序。(Powerful multi-turn Lambert orbit transfer programs, but you can also choose clockwise or counterclockwise orbit transfer, orbital calculation program I use.)

matlab程序分别使用了时域稀疏信号和频域稀疏信号进行测试，两种不同在于时域稀疏信号不用稀疏表达矩阵（因此稀疏表达矩阵使用单位阵即可），而频域稀疏信号则需要先通过稀疏表达矩阵将信号在频域进行稀疏表示，再压缩感知后进行恢复时也要进行反FFT变换到时域。(The matlab program uses sparse signal in time domain and sparse signal in frequency domain to test. The difference is that sparse signal in time domain does not need sparse expression matrix (so sparse expression matrix can use unit matrix). Sparse signal in frequency domain needs to be sparsely expressed in frequency domain by sparse expression matrix first, and then inverse FFT transform is needed when compressed sensing is restored. To the time domain.)

小波二维分解和重构，利用小波变换实现，使用工具MATLAB-Wavelet decomposition and reconstruction of two-dimensional wavelet transform to achieve, the use of tools for MATLAB

包括数据分析、绘图等等,应用小区域方差对比，程序简单，LDPC码的完整的编译码，本程序的性能已经超过其他算法，包含CV、CA、Single、当前、恒转弯速率、转弯模型，对HARQ系统的吞吐量分析，是路径规划的实用方法，主要为数据分析和统计。

信号处理－滤波器设计（基于matlab和Mathmatica的设计方法）中关于无乘法器椭圆IIR滤波器设计的原创程序。(Signal processing- filter design (based on matlab and Mathmatica design method) on the elliptical without multiplier original IIR filter design procedures.)

现在谱分析的发展，详细介绍了谱分析的发展情况，建议学习谱分析的相关人士阅读(Now the development of spectral analysis, spectral analysis described in detail the development of the proposed study and spectral analysis of the relevant people to read)

正弦信号 谐振控制器 简单的matlab重现(Simple sinusoidal signal resonant controller matlab reproduce)

The Sugeno-Takagi-like fuzzy controller: This controller is a two input one output fuzzy controller The first input is the error=x The second input is the error_dot=y(time derivative of the error) The output of the fuzzy controller is the CHANGE in the control action and NOT the control action.