该设计提出了一种将常用的并行SIMD结构与流水线MISD结构相结合的新颖并行视频处理体系结构形式。
In this process, a unique parallel video processing architecture combined with SIMD and pipeline MISD is proposed. Modules within the coprocessor are designed individually.
第三个视频有关命令式的并行处理。
介绍了一种采用DSP的同步串口和并行外设接口，对I2S标准音频数据和ITU - R 656格式数字视频信号进行处理的方法。
This paper presents a method of the I2S standard audio data and ITU-R 656 format digital video signal processing through synchronous serial port and parallel peripheral interface in DSP.
本发明采用与视频压缩过程并行处理的预测方法，避免了因为预测和信道分配所造成的延时。
The invention adopts the prediction method of parallel processing with the video compression process and avoids the time delay caused by prediction and channel allocation.
最后，还介绍了一些DSP的应用实例，如语音编码器，视频电话和视频会议系统，用于雷达和声纳的DSP并行处理系统。
Finally, some practical applications such as speech coding hardware, video telephone and video conference systems, DSP parallel processing systems for sonar and radar are also described.
其次以TI公司DM642数字信号处理器为基础，介绍了其特有的数字视频口，该视频口是一种双向，高速的并行处理接口。
Then based on the digital signal processor DM642 of TI company, the paper introduces its own digital port. The video port is a bidirectional, high-speed and parallel processing port.
功能强大的数字信号处理器adsp- 21161N有两个高速的并行传输链路口，可以分别实现视频数据的实时输入和输出。
Digital signal professor ADSP-21161N with strong functions, has two high-speed parallel transmission link ports, and can realize separately real time input and output for video data.
尤其在视频图像处理中，需要对大量的高速，并行的视频流数据进行实时处理，FPGA更能发挥其独有的优势。
In particular, the video image processing needs a large number of high-speed, parallel data in real-time video stream processing, FPGA can better play its unique advantage.
所研制的系统针对桥梁拉索结构的特点，构建出桥梁拉索爬行机构，采用4个CCD摄像机组成了并行式图像采集阵列，实时的将同一时刻拉索表面一周的视频图像数据传送到缺陷检测处理系统中。
It make a target of fast intellective damage detection. Depended on concurrent sensor array of 4 CCD, the system collects the surface image data of the bridge cable, and sends the data to DSPs.
所研制的系统针对桥梁拉索结构的特点，构建出桥梁拉索爬行机构，采用4个CCD摄像机组成了并行式图像采集阵列，实时的将同一时刻拉索表面一周的视频图像数据传送到缺陷检测处理系统中。
It make a target of fast intellective damage detection. Depended on concurrent sensor array of 4 CCD, the system collects the surface image data of the bridge cable, and sends the data to DSPs.
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