image_test

我的FFT分级调试程序，2048点的浮点型数据。用matlab写的。(Debug my FFT grading procedures, 2048-point floating-point data. Written by matlab.)

this file is sift code.

载波移相SPWM调制法是一种特别适合于级联多电平逆变器的SPWM方法,在matlab/simulink环境下下运行,这是本人搭建的一个小模型(Carrier phase shifting SPWM modulation method is a particularly suitable for cascaded multi-level inverter SPWM method, run in matlab/simulink environment under)

有关给定一个目标函数 和一组约束条件 进行优化求解(Given an objective function and a set of constraints for optimal solution)

mATLAB PROJECTS WITH EXAMPLES THAT MAKE YOU AS WELL AS PROFESSIONALS

it is a toolbox which used for denoising

本文采用小波神经网络进行交通流量预测，短时交通流量存在随机性和非线性因素，影响预测的准确性。传统预测模型难以反映交通流量变化特点，同时传统神经网络易陷入局部极小值，泛化能力差，交通流量预测精度低。为了提高短时交通流量预测精度，提出一种小波神经网络的短时交通流量预测模型。小波神经网络可以对短时交通流量随机性、不确定性进行局部分析，并进行非线性预测，验证了模型的有效性，进行了对比试验。验证结果表明，小波神经网络提高了短时交通流量预精度，预测结果更具应用价值。(In this paper, wavelet neural network is used to forecast traffic flow. There are random and nonlinear factors in short-term traffic flow, affecting the accuracy of prediction. The traditional prediction model is difficult to reflect the characteristics of traffic flow changes. At the same time, the traditional neural network is easy to fall into the local minimum, the generalization ability is poor, and the prediction accuracy of traffic flow is low. In order to improve the accuracy of short-term traffic flow forecasting, a short-term traffic flow prediction model based on wavelet neural network is proposed. The wavelet neural network can analyze the randomness and uncertainty of short-term traffic flow and perform nonlinear prediction. The validity of the model is verified and a comparative experiment is conducted. The verification results show that the wavelet neural network improves the short-term traffic flow pre-precision, and the prediction result has more application value.)

该程序为RLS算法性能分析的MATLAB程序。(RLS algorithm)

DOA 1d in CAPON methode

optimization algorithms source code