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系统用凌阳SPCE061A十六位单片机实现。不用外接语音芯片,即可实现语音辨识和一系列职能动作。由于采用了高性能的MCU,省掉了大量的外围器件,如外扩RAM、ROM存储器等,使硬件结构大大简化,提高了系统的可靠性。使用SPCE061A开发产品不仅给开发者耳目一新的感觉更给用户以振奋的性能。-Sunplus SPCE061A systems MCU 16. No external voice chip, can achieve the functions of speech recognition
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使用SPCE061A开发数据采集系统,具有很大的市场前景。首先,它的易学、易用的编程语音、开发环境,可以使初学者迅速入门;其次它具有模块化的结构,内置7路10位的AD,简化用户的电路设计;再者,它具有语音识别、音频处理功能,使得用户可以开发出更智能化的产品。-SPCE061A develop the use of data acquisition systems, have great market prospects. First, it' s easy to learn, easy-t
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This paper proposes the use of a vector of color histogram
peaks a n efficient and effective way for many image indexing
problems. It shows that histogram peaks are more stable than
general histogram bins when there are variation of scale and/o
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SPCE061A 是继μ’nSP?系列产品 SPCE500A 等之后凌阳科技推出的又一个 16 位结构的微控制器。与 SPCE500A 不同的是,在存储器资源方面考虑到用户的较少资源的需求以及便于程序调试等功能,SPCE061A 里只内嵌32K 字的闪存(FLASH )。较高的处理速度使μ’nSP?能够非常容易地、快速地处理复杂的数字信号。因此,与SPCE500A 相比,以μ’nSP?为核心的SPCE061A 微控制器是适用于数字语音识别应用领域产品的一种经济的选择。-SPCE061A is t
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设计了一种以凌阳公司SPCE061A单片机为语音信息处理器,以DSP为驱动控制器的主从式智能轮椅语音控制新方案。采用SPCE061A单片机进行语音指令的训练、识别和处理,DSP作为驱动电机转动的PWM控制信号发生器,SPCE061A单片机和DSP之间通过SCI接口电路进行通信。详细阐述了智能轮椅语音控制系统各部分硬件结构及系统总体软件实现,重点讨论了电机驱动电路的硬件设计和系统软件流程。实验结果表明,研制开发的智能轮椅语音控制系统能够在语音或手动模式下实现轮椅的多种运动,语音识别正确率高于95
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TI-DSP-TMS320F240X系列结构体头文件 主要位域话了所有寄存器 大大简化了编程的难度和程序的可读性,配合ccs3.3的自动识别功能更方便,文件已编好映射。-TI-DSP-TMS320F240X series structure header files a bit field, the all registers greatly simplifies the programming difficulty and readability of the program, with mo
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Channelized receiver based on multi-phase structure, When processing a signal frequency analysis, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition.
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Complete HMM-based speech recognition system, A one-dimensional transfer matrix method to calculate the phonon crystal structure, Has been successful debugging. M contains files can be directly run.
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Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, A one-dimensional transfer matrix method to calculate the phonon crystal structure, Complete HMM-based speech recognition system.
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Face Recognition light treatment method, Image optical flow calculation matlab program, A one-dimensional transfer matrix method to calculate the phonon crystal structure.
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There Wavelet Analysis Blind Signal Processing, Channelized receiver based on multi-phase structure, Gabor wavelet transform and PCA face recognition code.
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