Imsol

这是个跨平台的英文学习书籍，希望更多的人使用wxwidget来用C++，大家可以一起使用与讨论(This is a cross-platform study of English books, I hope more people use wxwidget to use C++, we can all use and discussion)

simple api source code using matlab

该程序为matlab代码。通过对相同数据分别进行DFT与FFT这两种变换，来对比两者的异同。(The program for the matlab code. By the same data were carried out both DFT and FFT transform, to compare the similarities and differences between the two.)

主要包括图像的中值、均值去噪、非局部均值、分块局部去噪算法；还有均方误差和峰值信噪比评价、以及matlab基础学习资料如边缘检测、小波变化、灰度值转换等(Including image median, mean denoising, non-local means, block local denoising algorithm also mean square error and peak signal to noise ratio evaluation, and matlab based learning materials such as edge detection, wavelet transform, gray scale value conversion wait)

这里具有一些MATLAB处理图象的源程序，希望对初学者有帮助(here with some MATLAB image of the source, and I hope to help beginners)

说明：  三维立体分布图 砷元素的 2011 国赛数模(3—D litifenbu )

Constant k filters, also k-type filters, are a type of electronic filter designed using the image method. They are the original and simplest filters produced by this methodology and consist of a ladder network of identical sections of passive components. Historically, they are the first filters that could approach the ideal filter frequency response to within any prescribed limit with the addition of a sufficient number of sections. However, they are rarely considered for a modern design, the principles behind them having been superseded by other methodologies which are more accurate in their prediction of filter response.A filter in which the product of the series and shunt impedances is a constant that is independent of frequency.

MATLAB神经网络源程序，有关人工神经网络模型的MATLAB的m文件。(MATLAB neural network source code, the artificial neural network model of the MATLAB m-files.)

This simulink model simulates the damped driven pendulum, showing it s chaotic motion. theta = angle of pendulum omega = (d/dt)theta = angular velocity Gamma(t) = gcos(phi) = Force omega_d = (d/dt) phi Gamma(t) = (d/dt)omega + omega/Q + sin(theta) Play with the initial conditions (omega_0, theta_0, phi_0 = omega(t=0), theta(t=0), phi(t=0)) and the system parameters (g, Q, omega_d) and the solver parameters/method. Chaos can be seen for Q=2, omega_d=w/3. The program outputs to Matlab time, theta(time) & omega(time). Plot the phase space via: plot(mod(theta+pi, 2*pi)-pi, omega, . ) Plot the Poincare sections using: t_P = (0:2*pi/omega_d:max(time)) plot(mod(spline(time, theta+pi, t_P), 2*pi)-pi, spline(time, omega, t_P), . ) System is described in: "Fractal basin boundaries and intermittency in the driven damped pendulum" E. G. Gwinn and R. M. Westervelt PRA 33(6):4143 (1986) (This simulink model simulates the damped driven pendulum, showing it s chaotic motion. theta = angle of pendulum omega = (d/dt)theta = angular velocity Gamma(t) = gcos(phi) = Force omega_d = (d/dt) phi Gamma(t) = (d/dt)omega+ omega/Q+ sin(theta) Play with the initial conditions (omega_0, theta_0, phi_0 = omega(t=0), theta(t=0), phi(t=0)) and the system parameters (g, Q, omega_d) and the solver parameters/method. Chaos can be seen for Q=2, omega_d=w/3. The program outputs to Matlab time, theta(time) & omega(time). Plot the phase space via: plot(mod(theta+pi, 2*pi)-pi, omega, . ) Plot the Poincare sections using: t_P = (0:2*pi/omega_d:max(time)) plot(mod(spline(time, theta+pi, t_P), 2*pi)-pi, spline(time, omega, t_P), . ) System is described in: "Fractal basin boundaries and intermittency in the driven damped pendulum" E. G. Gwinn and R. M. Westervelt PRA 33(6):4143 (1986) )

信号在采集和输送过程中往往会参杂着噪声和干扰，将自适应神经网络与信号处理结合起来，采用最小均方（LSM）算法设计的线性自适应滤波器将信号中的杂波成分滤除。用matlab进行仿真,证实线性自适应滤波器具有良好的滤波功能。(Signal acquisition and delivery process often mingled with the noise and interference, the adaptive neural network combined with signal processing, with a minimum mean square (LSM) linear adaptive filter algorithm designed to signal noise filter components In addition. Using matlab simulation confirms linear adaptive filter has a good filtering.)