tianxian

自适应粒子群算法，自适应粒子群算法，在普通的粒子群算法里面加入了熵和平均粒距的概念，收敛速度大大提高，而且不容易陷入局部最优，能更有效的解决复杂问题。(Adaptive particle swarm algorithm, adaptive particle swarm optimization, in which ordinary PSO joined the entropy and the concept of average distance, speed up the convergence, but not easy to fall into local optimum, more effective solutions to complex problems.)

滑模控制工具箱，对初学者上手较快，而且这种控制方法现在正在盛行，赶快下载来一起学习吧。(Sliding mode control toolbox, for beginners to get started quickly, and this control method is now popular to download to learn it together.)

超声波信号自适应消噪和滤波程序，可用于除噪，用于去除背景环境影响(Adaptive noise cancellation and filtering procedures can be used for noise removal)

Analyzing performance of mobile MIMO-OFDM wireleed systems

Skin Detection using matlab

cica is most usefule za shaa shaa algorithm. and it is hutsdag pizdanuud yum ahkak.

谱分析，气象、海洋专业程序，用于分析时间序列的显著周期。(Spectral analysis, meteorological, oceanographic professional program for the analysis of a significant period of time series.)

利用单纯行方法对PID控制参数寻优，优化系统(The use of pure-line method for optimizing PID control parameters to optimize system)

高斯噪声产生的代码,含有射频噪声干扰的代码(Gaussian noise code, containing RF noise code)

信号与系统基础知识包括连续信号与模型、离散信号与模型；常用信号变换包括Z变换、Chirp Z变换、FFT变换、DCT变换和Hilbert变换等；离散系统结构包括IIR、FIR和Lattice结构；IIR滤波器设计包括模拟和数字低通、高通、带通与带阻滤波器设计，以及基于冲激响应不变法和双线性Z变换法的IlR滤波器设计等；FIR滤波器设计包括基于窗函数、频率抽样法和切比雪大逼近法的FIR滤波器设计；平稳信号分析包括经典功率谱估计、基于参数模型的功率谱估计和基于非参数模型的功率谱估计；非平稳信号分析包括STFT变换、Gabor展开、Wigner-Ville分布与Choi-Williams分布；非高斯信号分析包括基于非参数法的双谱估计、基于参数模型的双谱估计，以及双谱估计的应用；信号处理的GUI实现包括滤波器设计与分析的FDATool工具和滤波器设计与信号分析的SPTool工具。(signals and systems based on knowledge, including continuous signal with the model, discrete signal and model; Common signals include transform Z transform, chirp Z-transform, FFT transform. DCT and Hilbert transform; Discrete system architecture including IIR, FIR and Lattice structure; IIR filter design, including analog and digital low-pass, high-pass, band-pass and band stop filter design, Based on the impulse response of the same law and bilinear Z transform the IlR filter design; FIR filter design including on the basis of the window function, frequency sampling and snow all over the big approximation of FIR filter design; stationary signal analysis include classical power spectrum estimation, Based on the model parameters of the power spectrum estimation and non- parametric model b)