cal_dfeec_ipr

返回系数估计向量；stats返回各种参数估计；’wfun’指定一个加权函数；tune为调协常数；’const’的值为’on’(默认值)时添加一个常数项；为’off ’时忽略常数项(Return coefficient estimate vector stats back to a variety of parameter estimation ' wfun' to specify a weighting function tune for the co-ordination constant ' const' value ' on' (default value) add a constant term for the ' off' time ignore the constant term)

本仿真为一个开题报告，揭示了一个新型的加密传输系统，其中有基于AM广播的加密传输的仿真程序(This simulation is an opening report, revealed a new type of encryption transmission system, including encryption based AM radio transfer simulation program)

这是一个基于MATLAB编写的BUTTERWORTH滤波器的程序.其中从s域到z域的变换是自己编写的,代替了MATLAB中的系统BUTTERWORTH的系统函数(对于毕业设计的学生,比较有用!!)(based on MATLAB BUTTERWORTH prepared by the filter process. From which z's domain to the domain transform their own preparation, instead of MATLAB system BUTTERWORTH system function (for graduate design students more useful! !))

基于MATLAB的电法测井电阻率及电压曲线正演模拟(Simulation of double electric logging resistivity and voltage curve is based on MATLAB)

Test for LIU12 chaotic map image encode/decode algorithm. A-RGB-image-encryption-algorithm-based-on-DNA-encoding-and-chaos-map_2012_Computers-and-Electrical-Engineering paper

Multi-objective PSO optimization algorithm code in Matlab

《MATLAB神经网络30个案例分析》中的第18个例子，案例18 Elman神经网络的数据预测—电力负荷预测模型研究。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of example, 18 cases of 18 Elman neural network research data to predict- power load forecasting model. Hope to have certain help to everybody! )

主要讲解了基于LMI非线性不等式的就求解过程，文章讲的很清晰，大家一起学习。(LMI based mainly on the non-linear inequalities on solving process, the article said very clearly, we will study together.)

相控阵设计中，用于阵列综合的程序，GUI，波束扫描等，滤波器设计等，(Phased array design, beam scanning, filter design, etc.,)

说明：  压缩包里包含了无约束优化问题常用的几种求解方法的源程序：变量轮换法（variable_rotation.m）、最速下降法（steepest_descent.m）、修正牛顿法（modified_newton.m）、共轭梯度法（conjugate_gradient.m）。另外，coefficient_matrix.m为目标函数系数获得矩阵，minval.m为最小值计算函数，gradient.m为梯度计算函数(Compression bag contains unconstrained optimization problems of several commonly used method of source: variable rotation Act (variable_rotation.m), steepest descent method (steepest_descent.m), as amended Newton (modified_newton.m), conjugate gradient method (conjugate_gradient.m). In addition, coefficient_matrix.m as the objective function coefficients obtained matrix, minval.m function for the minimum calculation, gradient.m for gradient calculation function)