提出的DSP采用了并行处理技术，如SIMD、矢量处理和DSP结构，并且采用了无线电应用的低功耗特性。
The proposed DSP employs parallel processing techniques, such as SIMD, vector processing, DSP schemes and adopts low power features for wireless applications.
本文第三部分讨论了神经网络分类器的设计鉴于汽车识别问题的特性，充分利用神经网络的并行分布处理的特点，将神经网络算法用于汽车识别。
The third part of paper discusses the design of neural network group classifier, in view of speciality of vehicle recognition, neural network algorithms are applied to resolve the problem.
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