leachimprove

一种基于小波分解的多图象拼接技术.对在多个图象间进行非规则形状图象拼接的多分辨整合技术进行了研究。运用Multi2masks方法将多个图象的选定区域同时融合在一起, 减小了计算量, 并利用小波变换对图象进行多分辨分解, 采用与频段宽度成正比的加权拼接宽度来消除拼缝的影响.(Based on wavelet decomposition of multi-image stitching technology. Between the images in a number of non-rules shapes multiresolution image stitching technology integration is studied. Multi2masks methods use multiple images of the selected regions together at the same time, reduces the computation and use of wavelet transform for image multiresolution decomposition, using the band width is proportional to the width of the weighted splicing to eliminate the拼缝impact.)

implementation of ART for classification of letters

说明：  可进行位置识别,通过声源的波束形成,可知道其相关信息.再加上(can identify the location, source, a beam forming, know relevant information. Plus )

非线性方程组的最速下降法，数值计算基于matlab的源程序。(Steepest descent method based on the Matlab nonlinear equations, numerical calculation)

说明：  可计算序列的信息熵、两个序列间的联合信息熵和互信息(This file can calculate the entropy, joint entropy and mutual information)

递推最小二乘法和递推阻尼最小二乘法仿真，系统模型如下： y(t) - 1.6 * y(t - 1) + 0.7 *y (t - 2) = u(t - 1) + 5.5 * u(t – 2) + e(t)，试用递推最小二乘法和递推阻尼最小二乘法进行参数识别，并进行比较 (Damped recursive least squares method and recursive least squares method simulation, the system model is as follows: y (t)- 1.6* y (t- 1)+ 0.7* y (t- 2) = u (t- 1)+ 5.5* u (t- 2)+ e (t), the trial damped recursive least squares method and recursive least squares method for parameter identification, and comparison)

leach simulation in matlab

基于MATLAB与单片机的测控系统设计,：提出一种基于MATLAB与单片机的教学测楦系统的设计方法。通建MATLAB自带的通信粪可以方便的和单片机串口 进行通讯，实现对下位机采集的教据进行分析处理。利用MATLAB软件提供的GUI可以设计出一套友好的人机界面实现对单片机测控系统的实时控制。(MATLAB microcontroller-based monitoring and control system design)

意信号卷积的运算,并且绘制图象，处理信号的时频分析，包含位置式PID算法、积分分离式PID。( Convolution operation is intended to signal and image rendering, When processing a signal frequency analysis, It contains positional PID algorithm, integral separate PID.)

说明：  集合经验模态分解算法和基于负熵最大的Fast ICA算法对心磁信号的去噪处理(Ensemble empirical mode decomposition algorithm and Fast ICA algorithm based on maximum negative entropy for denoising processing of magnetic heart signals)