rls

一个简单的GUI源码,生成一个简单的GUI界面。(Origin code of an simple GUI，which can generate a simple interface of GUI)

本文档是本人的自适应控制大作业，作业里分模型参考自适应控制（用smulink仿真）和CARMA模型的最小方差自适应控制，文中有详细的smulink框图和matlab程序，格式美观，分析透彻，图形整齐，对学习自适应控制的朋友有很大的帮助，谨以本人微薄的力量和成果与大家共鸣，(This document is my adaptive control large operations, operating in sub-model reference adaptive control (with smulink simulation) and the CARMA model of minimum variance adaptive control, the text has a detailed diagram smulink and matlab procedures, aesthetic format, analysis and thorough , graphics, neat, in learning adaptive control of a friend has a great help, I would like my meager results of the strength and resonance with the U.S.,)

说明：  该程序用遗传算法对人工神经网络进行优化，预测sars的变化趋势(the process of using genetic algorithms for artificial neural network optimization, forecasting the trend EX/108)

The basic steps of the edge-based text extraction algorithm are given below 1. Create a Gaussian pyramid by convolving the input image with a Gaussian kernel and successively down-sample each direction by half. (Levels: 4) 2. Create directional kernels to detect edges at 0, 45, 90 and 135 orientations. 3. Convolve each image in the Gaussian pyramid with each orientation filter. 4. Combine the results of step 3 to create the Feature Map. 5. Dilate the resultant image using a sufficiently large structuring element (7x7 [1]) to cluster candidate text regions together. 6. Create final output image with text in white pixels against a plain black background.

FIHS based Pan-sharpening over LANDSAT-7

产生BPSK调制信号，通过高斯信道，接收端解调，计算误码率(BPSK modulated signals generated by Gaussian channel, the receiver demodulation, bit error rate calculation)

说明：  灰预测，运用灰预测的MATLAB实现，建立模型，求解未来的预测值(gray modol)

Silicon channel semivector : Applies the semivector modesolver to compute the TE mode of a sub-micron silicon waveguide. Comparison with the full-vector solution demonstrates some of the inaccuracy of the semivector approximation.

Six-Pulse Cycloconverter This demonstration illustrates a six-pulse cycloconverter driving a static load.

Demonstration of the reproduction of a generalized trajectory through Gaussian Mixture Regression (GMR), when considering two independent constraints represented separately in two Gaussian Mixture Models (GMMs). Through regression, a smooth generalized trajectory satisfying the constraints encapsulated in both GMMs is extracted, with associated constraints represented as covariance matrices.