Subspace learning methods are very sensitive to the illumination, translation, and rotation variances in image recognition. Thus, they have not obtained promising performance for palmprint recognition so far. In this paper, we propose a new descriptor of named histogram oriented lines (HOL), which is variant gradients (HOG). HOL changes has robustness against small transformations because slight translations rotations make value changes. Based on HOL, even some simple subspace can achieve high rates.

Machine learning approaches are becoming increasingly popular to improve the efficiency of specific emitter identification (SEI). However, in most non-cooperative SEI scenarios, supervised and semi-supervised often incompatible due lack labeled datasets. To solve this challenge, an unsupervised framework is proposed based on information maximized generative adversarial networks (InfoGANs) radio frequency fingerprint embedding (RFFE). enhance individual discriminability, a gray histogram...

It is difficult to recognize Automatic Link Establishment (ALE) behaviors of a short-wave radio station, if we do not acquire the station's communication protocol standard. A method proposed different ALE by using an improved unidimensional DenseNet. In this work, directly signals in physical layer without Hence, can avoid difficulties demodulation, decryption and so on. Actually, original DenseNet used extensively field computer vision, firstly adapted for input. And then, two parallel...

Isometric feature mapping (ISOMAP) presents remarkable performance for nonlinear dimensionality reduction in diversified research domains. Landmark-ISOMAP(L-ISOMAP) has been proposed to improve the scalability of ISOMAP by performing most complicated computations on a subset points referred as landmarks. In this paper, we present novel landmark point selection method L-ISOMAP. The approach first attempts find minimum set cover neighbourhood sets and get corresponding data points, candidate...

Forward error correction coding is the most common way of channel and key point coding. Therefore, recognition which type an important issue in non-cooperative communication. At present, FEC codes mainly concentrated field semi-blind identification with known types codes. However, receiver cannot know previously systems such as cognitive radio remote sensing it to recognize error-correcting encoding no prior information. In paper, we come up a neoteric method identify based on Recurrent...

Specific emitter identification involves extracting the fingerprint features that represent individual differences of through processing received signals. By identifying extracted features, one can also identify to which signals belong. Due in transmitter hardware, this cannot be duplicated. Therefore, SEI plays an important role field information security and reduce leakages caused by key theft. This method used military support communication countermeasures via identification. In paper,...

Isometric feature mapping (Isomap) is a widely-used nonlinear dimensionality reduction method, but it suffers from high computational complexity. L-Isomap variant of Isomap which faster than Isomap. In this algorithm, subset points are chosen out the total data as landmark so to simplify embedding computation. paper, we propose novel selection method for based on greedy algorithm. Experiments performed synthetic and physical sets validate effectiveness proposed method. Internet traffic...

Specific transmitter identification (SEI) is a technology that uses received signal to identify which individual radiation source the transmitted belongs. It can complete of in non-cooperative scenario. Therefore, there are broad application prospects field wireless-communication-network security, spectral resource management, and military battlefield-target communication countermeasures. This article demodulates reconstructs digital modulation obtain without modulator distortion...

It is difficult to obtain many labeled Link Establishment (LE) behavior signals sent by non-cooperative short-wave radio stations. We propose a novel unidimensional Auxiliary Classifier Generative Adversarial Network (ACGAN) get more and then use DenseNet recognize LE behaviors. Firstly, few real samples were randomly selected from as the training set of ACGAN. Then, new was formed combining with fake generated trained In addition, convolutional auto-coder proposed describe reliability these...

The key to jam frequency-hopping communication is estimate its parameters efficiently and precisely. An algorithm for estimating the hop duration of frequency hopping (FH) signals based on multi-window partially overlapped Reassigned Smoothed Pseudo WVD (RSPWVD) adaptive threshold detection technique proposed. It divides signal into segments according some analytical window, analyses every segment by RSPWVD, connects maximal values all segments' RSPWVD at sample time method employs FH...