The application of theories and technologies of signal processing to molecular biology produces a new field-genomic signal processing, which provides a new way to analyze the enormous data of genomics, proteomics and RNA. It enhances the efficiency of biological experiments and lowers the experiment cost. In this dissertation, filters and time-frequency is utilized to recognize
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The application of theories and technologies of signal processing to molecular biology produces a new field-genomic signal processing, which provides a new way to analyze the enormous data of genomics, proteomics and RNA. It enhances the efficiency of biological experiments and lowers the experiment cost. In this dissertation, filters and time-frequency is utilized to recognize
(Read More…)
The application of theories and technologies of signal processing to molecular biology produces a new field-genomic signal processing, which provides a new way to analyze the enormous data of genomics, proteomics and RNA. It enhances the efficiency of biological experiments and lowers the experiment cost. In this dissertation, filters and time-frequency is utilized to recognize
(Read More…)
The application of theories and technologies of signal processing to molecular biology produces a new field-genomic signal processing, which provides a new way to analyze the enormous data of genomics, proteomics and RNA. It enhances the efficiency of biological experiments and lowers the experiment cost. In this dissertation, filters and time-frequency is utilized to recognize
(Read More…)
The application of theories and technologies of signal processing to molecular biology produces a new field-genomic signal processing, which provides a new way to analyze the enormous data of genomics, proteomics and RNA. It enhances the efficiency of biological experiments and lowers the experiment cost. In this dissertation, filters and time-frequency is utilized to recognize
(Read More…)
The application of theories and technologies of signal processing to molecular biology produces a new field-genomic signal processing, which provides a new way to analyze the enormous data of genomics, proteomics and RNA. It enhances the efficiency of biological experiments and lowers the experiment cost. In this dissertation, filters and time-frequency is utilized to recognize
(Read More…)
The application of theories and technologies of signal processing to molecular biology produces a new field-genomic signal processing, which provides a new way to analyze the enormous data of genomics, proteomics and RNA. It enhances the efficiency of biological experiments and lowers the experiment cost. In this dissertation, filters and time-frequency is utilized to recognize
(Read More…)
The application of theories and technologies of signal processing to molecular biology produces a new field-genomic signal processing, which provides a new way to analyze the enormous data of genomics, proteomics and RNA. It enhances the efficiency of biological experiments and lowers the experiment cost. In this dissertation, filters and time-frequency is utilized to recognize
(Read More…)
The application of theories and technologies of signal processing to molecular biology produces a new field-genomic signal processing, which provides a new way to analyze the enormous data of genomics, proteomics and RNA. It enhances the efficiency of biological experiments and lowers the experiment cost. In this dissertation, filters and time-frequency is utilized to recognize
(Read More…)
Wireless Sensor Networks(WSN) consist of large numbers of micro sensor nodes distributed in monitor area,through wireless communication form a self-organizing network.The node collected message by collaborative sensing and transmitted data to the base station.With the development of wireless sensor networks,it has a wide range of practical and useful applications.Compared with the traditional network,WSN have limited
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