slmpts

该程序是一个振荡相位噪声模型。相位噪声是衡量频率标准源(高稳晶振、原子频标等)频稳质量的重要指标，随着频标源性能的不断改善，相应噪声量值越来越小，因而对相位噪声谱的测量要求也越来越高。(The program is a model of phase noise oscillator. Phase noise is a measure of frequency standard source (high stability crystal oscillator, atomic frequency standard, etc.) an important indicator of the quality of the frequency stability, with the frequency standard source performance continues to improve, the corresponding noise value smaller, and thus the phase noise spectrum of the measurement requirements higher and higher.)

基于粒子群算法的PID控制器优化设计matlab代码(PID TUNER using PSO matlab code)

M次方谱估计可以同时估计psk信号的码元速率和载波频率。mpsk函数和test_signal在cwt压缩包内。(M th spectral estimation can estimate the symbol rate and carrier frequency qpsk signal. mpsk function and test_signal in cwt compressed package.)

simulated annealing in matlab

LASSO 算法，lars算法,有些例程(LASSO LARS examples)

高斯模拟污染物扩散，数据为深圳2012年东风的，数学建模题(Gauss simulation of pollutant diffusion, data for 2012 Shenzhen Dongfeng, mathematical modeling problem)

预测控制中动态矩阵控制（DMC）的Matlab代码(Predictive Control of Dynamic Matrix Control (DMC) of the Matlab code)

说明：  根据需要输入模糊参数，生成相应的模糊图像，并对模糊图像进行恢复，验证运动模糊图像的恢复算法(Input fuzzy parameters needed to generate the corresponding blurred image，and restore the blurred image to authenticate the algorithm)

用移位寄存器实现M序列、逆M序列的Matlab程序 (Using shift registers to realize M sequence, inverse M sequences of Matlab program)

说明：  异步电机的精确控制和速度辨识是交流传动系统中重要问题。在该仿真系统中，电机转速采用易于检测的电机定子电压和电流得到转速MRAS辨识算法来估算。由于速度辨识算法中电压模型的纯积分环节会引起的误差积累和漂移问题，采用改进积分型转子磁链估算模型来解决。(The precise control and the speed identification of AC motor are the very important issues on AC drive system.In this system, induction motor is controlled by the direct torque control, stator flux is estimated by u-n model observer that is effective in the full range of speed, motor speed is estimated by MRAS speed identification algorithm that is depended on the voltage and the current of motor stator easily detected. The modified integral rotor flux estimation model is used to solve the problem that the normal model can be affected by the error accumulation and drift of integral calculation in the voltage model of conventional speed identification algorithm. )