musicbasic

this is matlab code for estimating the static linear system with Least Squre that is written by matlab 7.0. Here we want to estimate the below function: 1 - u^2 + 2*u^3 +u^5 +3*u^7 these are 2 files : without noise and with noise finally,there are plots for showing results.

matlab仿真通过的降噪程序，提供c语言实现的各种降噪算法。还包括对椒盐噪声有很好抑制作用的一组新算法。(matlab simulation of the noise reduction process through the provision of a variety of c language to achieve noise reduction algorithm. Also includes a very good inhibition of salt and pepper noise of a new algorithm.)

说明：  二层介质大地电磁响应，MATLAB编程，模拟二层介质的大地电磁响应曲线(Two-story media magnetotelluric response, MATLAB programming, analog two-story media magnetotelluric response curve)

Cycle slip probability of the phase unrapping algorithm(Cycle slip probability of the phase unrapp ing algorithm)

Simulation of constant modulus algorithm for smart antennas

此程序主要演示通道间幅度误差对DBF旁瓣电平的影响。(This program is mainly to demonstrate of effect of channel amplitude errors on the sidelobes of DBF.)

这是一个APF仿真模型，谐波检测采用ipiq方法，电流跟踪控制采用滞环控制，直流侧电压为PI控制(This is an APF simulation model, harmonic detection using ipiq method, the current tracking control using hysteresis control, DC side voltage for the PI control)

三相并联型APF，利用ip iq谐波电流检测方法对非线性负载的谐波电流进行补偿(Three-phase shunt APF compensates harmonic current of nonlinear load by IP IQ harmonic current detection method)

说明：  pso优化SVM参数，可运行。MATLAB实现(PSO optimizes SVM parameters, which can be run. MATLAB implementation)

图像配准常常是作为其他图像处理应用的前处理步骤使用的，往往用于图像的对准、目标识别与定位。介 绍了在MATLAB系统中，如何应用MATLAB的IPT函数对图像进行配准的方法：首先用人机交互的方法在待配 准图像与基准图像之间进行图像配准所必需的匹配控制点的选取，然后用这些匹配控制点来计算两图像的某种空 间几何变换关系，最后利用这个空间几何变换关系对待配准图像进行几何变换，获得配准结果。实验表明，该方 法实现容易，且非常有效。 (Image registration is often as other image processing applications, the use of pre-treatment steps are often used for image alignment, target identification and location. Introduced the system in MATLAB, how to use MATLAB function of the IPT image registration method: First of all, employing the method of cross-machine in question and the baseline image registration between image image registration by matching control points necessary for the selection, and then use these control points to match the two images to calculate the geometric transform the relationship between a certain space, and finally make use of the space relationship between the treatment of geometric transformations with quasi-geometric image transformation, the results obtained registration. Experiments show that the method easy and very effective.)