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Under the ever more complex and dense electromagnetic environment, specific emitter identification (SEI) technique opens up prospects for discriminating and identifying different emitters of the same class. SEI is implemented by employing the unintentional modulation on pulse (UMOP), which is unavoidable and unique to individual emitters. However, the characteristics of UMOP have not been sufficiently...
Unintentional modulation (UIM), which is unavoidable and unique to individual emitters, can be used to reliably realize emitter identification. Previous identification methods extract features from either some parts of the signal, ignoring the UIM on the other parts, or immediately the whole signal, resulting in heavy computational loads. In this paper, we take the structure of UIM into consideration,...
Video-based person re-identification has become a hot topic in the field of research on computer vision and intelligent surveillance, which is more robust to the variations in a person's appearance than single-shot based methods and involves space-time information. However, the most existing spatiotemporal features have been proposed for action recognition that they mainly focus on the exact spatial...
As all kinds of transducers are being connected in different IoT (Internet of Things) applications, varied sensor data need to be collected and transmitted via network for further processing. To facilitate the process for signal or data treatment, there is the need to regulate a protocol for the local data processing for a smart transducer in terms of its computational capabilities. This paper reports...
Pedestrian detection is paramount for advanced driver assistance systems (ADAS) and autonomous driving. As a key technology in computer vision, it also finds many other applications, such as security and surveillance etc. Generally, pedestrian detection is conducted for images in visible spectrum, which are not suitable for night time detection. Infrared (IR) or thermal imaging is often adopted for...
The feature modelling technology makes micro device design in a more convenient way. This paper concentrates on how to revise the original feature model and construct manufacturing model through process constraint method. By generating reference manufacturing model, the design features are mapping to manufacturing features organized with layer information. After constraint features mapping procedure,...
Respiratory rate can often be extracted from electrocardiogram (ECG) or (photoplethysmogram) PPG by analyzing its' beat morphological feature or the variability of time interval. In this paper, the respiratory rates were derived from ECG and PPG signals by using two algorithms based on beat morphology and time interval, respectively. The four groups of estimation results were evaluated by comparing...
To elucidate the spinning signatures of ballistic missile warhead, the model of spinning motion for ballistic missile warhead is established and the mathematical formulas for micro-Doppler signatures caused by spinning motion is derived. Then the time-varying micro-Doppler signatures are analysed with high-resolution time-frequency transform, and the micro-Doppler frequency is calculated based on...
Measuring image similarity is important in many applications. Different algorithms propose to compare images using pixel-based mean square error methods others use structure-based image quality index. We present, here, a new feature-based approach that utilizes image phase congruency measurement to quantify the assessment of the similarities or differences between two images
Micro-Doppler effect is of great potential for radar target recognition since the micro-dynamics of structures on the target can be detected with it. The recognition process includes time-frequency analysis of the returned radar signal, feature extraction from time-frequency distribution images, and classification according to the feature set. In this paper, the time-frequency distribution images...
This paper presents a new metric to assess the performance of the image fusion algorithm. The proposed metric is based on image phase congruency, which provides an absolute measurement of image feature with a numeric value ranging from zero to one. By comparing the local cross-correlation of corresponding phase congruence maps of input images and fusion output, the quality of the fused result is assessable...
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