LMS

基于CIODs的空时分组码编译码过程，及误比特率曲线的仿真(Based CIODs of space time block code encoding and decoding process, and simulation of bit error rate curve)

基于传输矩阵法（TMM）计算VCSOA（垂直腔半导体光放大器）的稳态增益的程序。由于是从将输入端功率Pin作为已知条件，程序用Matlab优化工具箱中的fsolve函数计算了满足边界条件时的输出功率。这对于相关研究开发都是较好的资料。(This is a set of source codes, which are used for calculating the steady state gain of VCSOA based on the transfer matrix method(TMM). Since the input power of the VCSOA is regarded as a already-known condition, this program, the function "fsolve" in the Matlab Optimization Toolbox is used for obtaining the output power of the VCSOA when the input power is at some value. This is a good material for further studying the related problems, especially when using the Matlab for device simulations. )

联合Optisystem与matlab仿真的OFDM子程序(Optisystem & matlab co-simulation)

Speeded Up Robust Features (SURF) SURF (Speeded Up Robust Features) is a robust local feature detector invariant to scale rotation and illumination similaire to SIFT Scale Invariant Feature Transform

混沌优化算法计算测试函数的matlab程序，自己写的，可以直接用。(Chaos optimization)

matlab写的数字识别程序，功能基本完成Demo1(matlab write digital identification Demo1)

精通MATLAB —综合辅导与指南 及其配套代码(Proficient in MATLAB-integrated counseling and guidelines and supporting code)

Adaptive filtering constitutes one of the core technologies in digital signal processing and finds numerous application areas in science as well as in industry. Adaptive filtering techniques are used in a wide range of applications, including echo cancellation, adaptive equalization, adaptive noise cancellation, and adaptive beamforming. Acoustic echo cancellation is a common occurrence in today’s telecommunication systems. The signal interference caused by acoustic echo is distracting to users and causes a reduction in the quality of the communication. This paper focuses on the use of LMS and NLMS algorithms to reduce this unwanted echo, thus increasing communication quality.

实现以下功能：装载信号；完成信号的单尺度一维离散小波分解；从系数中重构低频部分和高频部分；显示高频和低频部分；由小波逆变换恢复信号；多层一维分解；提取系数的低频和高频部分；重构第3层的低频系数；重构第1、2、3、4、5层的高频信号；重构原始信号并显示(Achieve the following functions: load signal complete signal single-scale one-dimensional discrete wavelet decomposition reconstructed from the coefficients in the low frequency and high frequency display high-frequency and low frequency restored by the inverse wavelet transform signal multi-layer one-dimensional decomposition extraction coefficient of low frequency and high frequency reconstruction of 3-layer low-frequency coefficients reconstruction of the first layer of high-frequency signal 1,2,3,4,5 reconstruct the original signal and display)

基于Matlab平台的排队论中M/G/1模型的实现 源代码(Matlab platform based on queuing theory in M/G/1 model realization source code)