matlabtuxiangmingling

本程序是使用VC编写，在VC中调用MATLAB,由于MATLAB编写算法功能强大，所以与VC结合使用比较方便。(The program is written using the VC in the VC call MATLAB, MATLAB write algorithms as powerful, it is convenient in combination with the VC.)

传统RAKE接收机MATLAB源程序，后面我会发改进的(traditional RAKE receiver MATLAB source, I will be behind the improvement)

Backpropagation, an abbreviation for backward propagation of errors , is a common method of training artificial neural networks used in conjunction with an optimization method such as gradient descent. The method calculates the gradient of a loss function with respects to all the weights in the network.

energy leach a new version

西门子公司关于模块化多电平的原理介绍paper，讲解的很不错(helpful principle paper of a multi level converter from Siemens )

说明：  灰狼算法优化的支持向量回归，可以用于预测。(The grey Wolf algorithm is optimized for support vector regression and can be used for prediction.)

低通滤波器，对数据进行平滑，也叫做最小二乘法，Savitzky-Golay算法(a particular type of low-pass filter, well-adapted for data smoothing, and termed variously Savitzky-Golay, least-squares, or DISPO (Digital Smoothing Polynomial) filters. Rather than having their properties defined in the Fourier domain and then translated to the time domain, Savitzky-Golay filters derive directly from a particular formulation of the data smoothing problem in the time domain)

使用simulink实现脉冲编码的仿真模块(Using simulink pulse code Simulation Module)

釆用一个二阶系统的模型代替真实系统，其差分方程表达式为： 将此系统在计算机上仿真，输入信号u(k) 是幅值为1 的PRBS 信号，噪声e(k) 是（0，1）的正态分布序列，它的方差是可以调整的。这个系统的输出釆样值z (k) 与u (k) 作为已知数据，采用最小二乘法估计这个系统的参数。 (Preclude the use of a second-order system model instead of the real system, the differential equation expression: this system on a computer simulation, the input signal u (k) is the amplitude of the PRBS signal, and the noise e (k) (0 , 1) the normal distribution of sequence, its variance can be adjusted. The output of this system the Bian samples z (k) and u (k) as known data, the method of least squares to estimate the parameters of this system.)

This is a very good book on Robust optimization that covers all the essentials of robust optimization.