mmse-svd

这是计算LEO/MEO星座中的卫星轨迹的程序(LEO/MEO satellite constellation track procedures)

QPSK bloque de modulación y demodulacion. Ademas posee un bloque de BER para observar la firencia entre la señ al de entrada y de salida

计算全通滤波器的源程序,根据信道群延迟,计算滤波器系数,用以校正信号相位变化(calculation of the all-pass filter source files, according to the channel group delay, filter coefficients calculated, for the correction signal phase changes)

Instructions for Writting Clear, Concise, and Direct Sentences

若不希望用与估计输入信号矢量有关的相关矩阵来加快LMS算法的收敛速度，那么可用变步长方法来缩短其自适应收敛过程，其中一个主要的方法是归一化LMS算法（NLMS算法），变步长 的更新公式可写成 W（n+1）=w（n）+ e（n）x（n） =w（n）+ （3.1） 式中， = e（n）x（n）表示滤波权矢量迭代更新的调整量。为了达到快速收敛的目的，必须合适的选择变步长 的值，一个可能策略是尽可能多地减少瞬时平方误差，即用瞬时平方误差作为均方误差的MSE简单估计，这也是LMS算法的基本思想。 (Want to estimate if the input signal vector and the relevant matrix to speed up the convergence rate of LMS algorithm, then the variable step size method can be used to shorten its adaptive convergence process, one of the main method is normalized LMS algorithm (NLMS algorithm) , variable step-size update formula can be written W (n+ 1) = w (n)+ e (n) x (n) = w (n)+ (3.1) where, = e (n) x (n) the right to express filter update vector iterative adjust the volume. In order to achieve the purpose of fast convergence, we must choose the appropriate value of variable step size, a possible strategy is as much as possible to reduce the instantaneous squared error, which uses the instantaneous squared error as the mean square error MSE of the simple estimate, which is the basic LMS algorithm思想.)

说明：  用matlab编写的有关通用数据库中iris数据的验证程序 ，希望对大家有所帮助(Prepared using matlab iris data in the common database verification procedures, we want to help)

PSO粒子群算法解决旅行商问题的MATLAB源码(PSO PSO algorithm to solve the traveling salesman problem MATLAB source)

An if statement for C++

这是一个低通抽样定理，例题中包括了低通信号的波形，抽样速率为4Hz的抽样信号，抽样序列恢复出原始信号(This is a low-pass sampling theorem, examples included in the lowpass signal waveform, the sampling rate is 4Hz sampling signal to recover the original signal sample sequence)

this model show the design of sun seeker control system using neural network model refrence with neural network toolbox and SIMULINK with MATLAB