AWGN

最小二乘拟合，最小二乘拟合直线算法，使用matlab实现最小二乘拟合直线。(Least square fitting, least squares fitting straight line method, using the least squares fitting straight line matlab implementation.)

实验一 离散时间信号的时域表示 实验二 离散时间系统的时域表示 实验三 离散时间序列的傅立叶变换 实验四 Z变换 实验五 离散傅立叶变换 实验六 数字滤波器的结构 实验七 IIR数字滤波器设计 实验八 FIR数字滤波器设计 实验九 DSP实现(Experiment a discrete-time signal in the time domain representation Experiment two discrete-time time-domain representation of the system Experiment three discrete Fourier transform of the time series Experiments four Z-transform Experimental five discrete Fourier transform Six experimental digital filter structure Experiment 7 IIR digital filter design Experiments eight FIR digital filter design Experiments nine DSP implementation)

应急物资布局和分配的随机优化算法MATLAB源代码(Layout and distribution of emergency supplies stochastic optimization algorithm based on MATLAB source code)

在非线性光纤光学的必须仿真方程，包括spm，xpm以及损耗的薛定谔方程。其中有10多个小仿真程序，以及其中用到的函数。(Must the simulation equation in nonlinear fiber optics, including the SPM, XPM and depletion of the schrodinger equation.There are more than 10 small simulation program, and the use of the function.)

离散余弦变换，用于matlab环境。使用C语言实现的源代码。(Discrete cosine transform, for the matlab environment. Using the C language source code.)

说明：  语音处理中谱相减MATLAB程序，可以作为函数或单独的程序使用(voice processing spectral subtraction MATLAB procedures, or can function as a separate procedure using)

说明：  国外人写的LTE链路级仿真文件，对于初学LTE的人有很大的帮助(Written by foreign LTE Link Simulation file, LTE for the beginner who is very helpful)

用MATLAB编程 主要讲解小波变换的一些知识包括源代码，适用于研究小波变换的人(Mainly on the use of MATLAB programming knowledge, including some of the wavelet transform source code, for the people of wavelet transform)

为提高了短期负荷预测的精度根据季节气候的不同做不同的模糊处理并建立专家处理系统对天气做的模糊处理使预测结果令人满意(to a rise in short-term load forecasting accuracy under different seasonal climate so different fuzzy treatment and the establishment of the Expert Jimmy system for weather so fuzzy treatment made forecasting satisfactory results)

可以实现FFT变化的时域图分析，可以清楚的知晓信号随时间的规律变化(Changes can achieve FFT time domain analysis, the signal can be clearly aware of the law change with time)