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The goal of Optical Character Recognition (OCR) is to classify optical patterns (often contained in a digital image) corresponding to alphanumeric or other characters. The process of OCR involves several steps including segmentation, feature extraction, and classification. Each of these steps is a field unto itself, and is described briefly here in the context of a Matlab implementation of OCR.

Created for generate fractals on sierspinsky shape.

粒子滤波目标跟踪程序，地面雷达跟踪一个下落物体的弹道系数、速度和位置。(Particle filter target tracking procedures, ground radar tracking ballistic coefficient, velocity and position of a falling object.)

VEHICLE SPEED AND SPACING CONTROL VIA COORDINATED THROTTLE AND BRAKE ACTUATION

图像超分辨率重构 Image Super-Resolution as Sparse Representation of Raw Image Patches(Image Super-Resolution as Sparse Representation of Raw Image Patches)

利用MATLAB计算轴承故障仿真信号功率谱的相关程序。(Correlation program calculation and Simulation of signal power spectrum of bearing fault using MATLAB.)

fuzzy c_meanc code algorithm

saw devie for Unapodized_SAW_Filter

TD—SCDMA物理层的调制解调仿真，本程序忽略了很多细节，只把最重要的调制解调过程仿真。(TD_SCDMA physics level simulation)

说明：  小波插值与小波基构造，实现均值插值和立方插值(Wavelet Interpolation and wavelet construction, the realization of the mean cubic interpolation and interpolation)