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随着数字语音、图像处理技术的飞速发展，其在电子产品中也得到广泛应用，如语音智能玩具、PDA、有语音和图像识别技术的机器人等-with digital voice, image processing, the rapid development of technology, the electronic products have been widely used, smart toys such as voice, PDA, voice and image recognition technol
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采用TI公司的TMS320C6713，通过地址译码和总线隔离，直接将数字图像传感器芯片OV7620接入；利用EDMA独立传送的特点，在不增加DSP软件开销和对总线占用的情况下，实现视频图像的实时采集和处理。经过验证，系统具有实时性好、成本低、开发周期短的特点。通过总线隔离和数据锁存实现了DSP与低速LCD显示模块的接口。针对具体的硬件电路给出了驱动例程。-Using TI s TMS320C6713, through the address decoder and bus isolation,
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论文——光电成像论文,智能光电成像技术的基本过程是：首先利用全息摄影技术，采集物体的光点信息；再利用光电转换技术将所得的光信息转换成电信号，最终转换为数字信号；对数字信号进行处理再经光电转换技术将数字信号重新恢复为光信号，实现对物体的立体图像虚拟显示。本文从理论上具体分析了各部分技术的实现，并指出了智能光电成像技术的实际应用。-Paper- Optical imaging papers, intelligent optical imaging technology is the basic pr
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飞思卡尔杯全国大学生智能车竞赛中摄像组赛车完整程序，赛车获二等奖。里面数字图像处理算法值得参考。-Freescale Cup National Smart Car University Students camera crew racing full race program, racing the second prize. Digital image processing algorithms which deserves reference.
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该程序是利用飞思卡尔单片机MC9S12XS128完成对数字摄像头OV6620的图像识别及图像处理-The program is the use of Freescale' s microcontroller MC9S12XS128 complete digital camera OV6620 image recognition and image processing
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OV7620 CMOS数字摄像头图像处理程序-OV7620 CMOS digital camera image processing program
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数字图像处理的子函数包，内容全面，而且丰富。-Subfunctions of digital image processing package, full and rich.
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基于stm32f10x系列单片机的电机调速实验，利用pwm做的，包括正反转，调速等，比较基础。-Matlab-based digital image processing experiments, direct gray-scale transformation program, includes image content. Has the test pass.
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Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Image optical flow calculation matlab program, Acquisition and Processing of the speech signal, digital signal processing class-based.
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Acquisition and Processing of the speech signal, digital signal processing class-based, Is the topic of the elementary school stage curriculum design, Based on multi-document image obtained combining technique.
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A window function design FIR digital band-pass filter, Complete set content, basic hyperspectral image processing, There are cycle detection, periodic testing.
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