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程序为使用剩余矩形排样法排样的矩形件排样程序，应用matlab软件编程制作。(Procedures for the use of the remaining rectangular nesting of nesting rectangular piece nesting program, application matlab software programming production.)

窗函数法设计一个数字带通FIR滤波器，小波包分析提取振动信号中的特征频率，PLS部分最小二乘工具箱。( A window function design FIR digital band-pass filter, Wavelet packet analysis to extract vibration signal characteristic frequency, PLS PLS toolbox.)

针对高精度的畸变图像,提出了一种基于最小二乘影像匹配的高精度畸变图像矫正算 法. 算法首先利用特征提取与边缘检测对图像进行预处理,并且将特征匹配与最小二乘算法相 结合,从而实现了图像与模板之间精确的子像素定位与匹配. 实验表明,该算法较好的解决了目前高精度畸变图像矫正算法中普遍存在的定位和匹配精度较差的缺陷,图像矫正效果良好,是一种有效的畸变图像矫正算法.(Image distortion for high-precision, a least-squares image matching based on high-precision image distortion correction algorithm. First of all, the use of feature extraction algorithm for edge detection and image pre-processing, and will feature matching with a combination of least-squares algorithm in order to achieve the image and the template between the sub-pixel accurate positioning and matching. The experimental results show that the algorithm has better accuracy of the solution to the current distortion prevalent image correction algorithm to match the accuracy of the positioning and less defects, image correction effect well, is an effective algorithm to correct image distortion.)

对于已经给定的特征，能够运用神经网络强大的处理复杂数据稳定的能力，给予有效的分类，达到很好的识别效果。(Has been given the characteristics of the use of powerful neural network to handle complex data and stable capacity to give a valid classification, to achieve good recognition results.)

Knapsack Problem. Russian version. Dynamic programming.

语音识别，运用DTW算法，UI界面显示。(Speech recognition, using DTW algorithm, UI interface display.)

高噪声环境下的麦克风阵列VAD算法研究,介绍了VAD算法在多声道环境中的检测效果(High noise environments VAD algorithm for microphone array research, introduce the VAD algorithm in multi-channel environment detection effect)

matlab实现四则运算图形界面 以及二维三维图形举例(matlab achieve four computing graphical interface, as well as two-dimensional three-dimensional graphics, for example)

讲解了 MATLAB语言环境下 图像压缩和图像融合方面的基本方法和基于小波变换的图像分解与重构。(Explained the MATLAB language environment, image compression and image integration of the basic methods and wavelet-based image decomposition and reconstruction.)

image rotation,for rotating skewed images of document images