Reshenie_nelineynyh_uravneniy

matlab的小波分解，重构，去噪以及能量分析(matlab wavelet decomposition and reconstruction, noise reduction and energy analysis)

关于电力系统的计算程序!最新的改进法计算潮流程序！用matlab实现的！ 适用于电力行业的相关从业人员！(power system on the program! The latest trend of improved procedures calculated! Using Matlab achieve! Apply to the relevant power industry practitioners!)

用线性调频信号的雷达系统的matlab仿真(a radar system with lfm signal simulation using matlab )

边缘分割 边缘分割 边缘分割 边缘分割 边缘分割 (The brink of the brink of partition partition partition the edge of the brink of the brink of partition partition)

ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。 基本思想： 在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。 (Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach. Basic idea: The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions. After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour. Literature: - Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I)

Matlab工程数学解题指导 _ 蒲俊,吉家锋编著_ - 上海_ 浦东电子出版社, _0(Matlab mathematical problem solving guide _ CAF. Kyrgyzstan Andrew edited _ front-Shanghai Pudong _ Electronic Press, Huffman)

Designing slider in GUI : I updated the original code to make function return value its window to another window.

Specific color noise generator (MatLab function)

对基于LMS算法的通道失配校正模型进行仿真。仿真不同信噪比条件下校正前后的通道失配度改善情况，参考信号为叠加有噪声的随机方波信号。(LMS algorithm based on channel mismatch correction model for simulation. Channel mismatch before and after the correction to improve the signal to noise ratio of different simulation conditions, the reference signal is a random noise superimposed on a square wave signal.)

功率谱估计及其MATLAB仿真 有源码 很不错的(Power Spectrum Density Estimation and the simulation in Matlab)