Posts Tagged ‘resample’:

Research on the Algorithm about Target Tracking Based on Image Processing

Target Tracking is a major research direction of computer vision research. It is a highly integrated discipline which relates to computer science and engineering, signal processing, statistics, cognitive science and artificial intelligence and many other fields of advanced technology. The driving force of the research on target detection and tracking comes from the needs of

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Study on Seal Identification

With the development of the computer techniques, difficulties of forging seal decline. Therefore economic crimes caused by forgery seals are hard to be forbidden. The purpose of seal identification study is to provide a system that can identify tested seal images to be genuine or forgery, and it also can offer an automatic, efficient and

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Research and Implement on Resample and Synchronization Technique of the Digital If Receiver

With the rapid development of wireless communication technology, software radio technology, computer technology and large-scale integrated circuit technology,IF digital receiver has become an important part in modern communication systems for the characteristics of generality,openness and programmable. Therefore, it is significant to research into and develop digital IF receiver. PCM/FM is used popularly in the telemetry

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Passive Image Forensics Based on Fourier Spectrum Analysis

Over the past years, digital images have been widely used in the Internet and many other applications. As image processing techniques are developing at a rapid speed, tampering digital images without leaving any obvious traces becomes easier and easier. Passive image forensics, a technology of detecting image authenticity and source without relying on any pre-extraction

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Research on the Particle Filter Tracking Methods

The most achievements of the signal processing theory are still on the random signal with Gaussian assumption and the using the linear model. However the statistical characteristics of the signal are not always accords with Gaussian hypothesis, and the complex signal cannot be correctly described by linear model. Then the non-Gaussian and nonlinear signal processing

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