qiugenmusic

从均匀以及非均匀量化两种角度对PCM系统的量化过程进行MATLAB编程仿真和Simulink仿真(From a uniform and non-uniform quantization of the quantization process two angles PCM system s simulation and MATLAB Simulink simulation programming)

数学建模算法大全中的；偏最小二乘回归PLS(Partial least squares regression PLS mathematical modeling algorithm Daquan )

预测反褶积的经典程序，用于地震数据的处理(Predictive deconvolution classic procedure for treatment of seismic data)

matlab codes for tsp using aco

说明：  求解系数矩阵由16阶Hilbert方程组构成的线性方程组， 3、共轭梯度法；(Solving the linear equations consisting of 16-order Hilbert equations of coefficient matrix. 3. Conjugate gradient method;)

OFDM系统级的仿真，里面涉及到卷积编码，交织，qpsk调制等(OFDM system-level simulation, which relates to convolutional coding, interleaving, qpsk modulation)

运用MATLAB编程实现歌曲“最炫名族风”节奏的产生。(Using MATLAB programming song " most unusual family name wind" rhythm generation.)

说明：  基于负熵的盲源分离算法，可以用于语音的盲分离，提高语音信号质量。本代码中，对原始信号分别为正弦波，方波，和随机信号，通过高斯信道的混合矩阵，获得接收信号，并通过基于负熵的盲源分离算法分理处原始信号。PS：Matlab版本为2018Ra(The blind source separation algorithm based on negative entropy can be used for speech blind separation and improve the quality of speech signal. In this code, for the original signal, sine wave, square wave and random signal, the received signal is obtained through the mixture matrix of the Gauss channel, and the original signal is processed by the blind source separation algorithm based on negative entropy. PS: MATLAB Version 2018Ra)

说明：  SURROGATES工具箱是一个多维函数逼近和优化方法的通用MATLAB库。当前版本包括以下功能： 实验设计：中心复合设计，全因子设计，拉丁超立方体设计，D-optimal和maxmin设计。 代理：克里金法，多项式响应面，径向基神经网络和支持向量回归。 错误和交叉验证的分析：留一法和k折交叉验证，以及经典的错误分析（确定系数，标准误差;均方根误差等;）。 基于代理的优化：高效的全局优化（EGO）算法。 其他能力：通过安全裕度进行全局敏感性分析和保守替代。(SURROGATES Toolbox is a general-purpose MATLAB library of multidimensional function approximation and optimization methods. The current version includes the following capabilities: Design of experiments: central composite design, full factorial design, Latin hypercube design, D-optimal and maxmin designs. Surrogates: kriging, polynomial response surface, radial basis neural network, and support vector regression. Analysis of error and cross validation: leave-one-out and k-fold cross-validation, and classical error analysis (coefficient of determination, standard error; root mean square error; and others). Surrogate-based optimization: efficient global optimization (EGO) algorithm. Other capabilities: global sensitivity analysis and conservative surrogates via safety margin.)

A PHOTOVOLTAIC PANEL MODEL IN MATLAB/SIMULINK