MUSICTOA

虫口模型logistic的数据生成代码,程序简单易运行很好的(Population model of the data generated code)

单载波系统在高斯白噪声和多径信道条件下的仿真——加入独立字导频且采用最小二乘信道估计(Single carrier system in gaussian white noise and multipath channel under the condition of the simulation to join the independent word frequency and the least square estimation channel )

该程序为立体空间内艾里光束的传播，使用角谱传播定理(The program for the Airy beam propagation in three-dimensional space, using the angular spectrum propagation theorem)

Matlab平台下仿真实现2*2, 4*4， 6*6天线Alamouti空时编码的MIMO系统，画出不同信噪比下的性能曲线对比。(2* 2, 4* 4, 6* 6 antenna Alamouti space-time coding MIMO system Matlab simulation platform, draw the comparison of different signal-to-noise ratio performance curve.)

计算海面和海底散射的程序，使用小斜率散射理论，同时考虑了气泡的影响。(compute scattering of sea surface and bottom, using small slope scattering theory,considered bubbles effects too.)

说明：  分别用M序列gold序列正交gold序列设计直接序列扩频通信系统并分析误码率(Using m-sequence gold sequence orthogonal gold sequence to design DSSS communication system and analyze the bit error rate)

基于OMP,LS,MMSE三种算法的信道估计仿真图比较，对学习信道估计的研究者有很大帮助(The chart compares the OMP, LS, MMSE three algorithms based channel estimation simulation learning channel estimation researchers)

说明：  x射线的CT图像重建，内附data.mat为实际X射线拍到投影图像。(x-ray CT image reconstruction, the actual X-ray included data.mat photographed the projected image.)

数字通信中的16QAM映射，采用格雷码编码，包括星座图的显示，简单明了清晰，由此可以退出64,128QAM的matlab编码(Digital communication 16QAM mapping, the use of Gray coding, including the constellation display, simple clear, it can be out of the 64,128 QAM matlab code)

连续小波变换：小波函数与原信号对应点相乘，再相加，得到对应点的小波变换系数，平移小波基函数，再计算小波函数与原信号对应点相乘，再相加，这样就得到一系列的小波系数。对于离散小波变换（由于很多小波函数不是正交函数，因此需要一个尺度函数）所以，原信号函数可以分解成尺度函数和小波函数的线性组合，在这个函数中，尺度函数产生低频部分，小波函数产生高频部分。(Continuous wavelet transform: a series of wavelet coefficients are obtained by multiplying and adding the corresponding points of the original signal, translating the wavelet basis function, and calculating and adding the corresponding points of the original signal. For discrete wavelet transform (many wavelet functions are not orthogonal functions, so a scale function is required), the original signal function can be decomposed into a linear combination of scale function and wavelet function, in which the scale function generates the low frequency part and the wavelet function generates the high frequency part.)