In this communication, necessary and sufficient conditions are presented for the unique blind identification of possibly nonminimum phase channels driven by cyclostationary processes. Using a frequencydomain formulation, it is first shown that a channel can be identified by the second-order statistics of the observation if and only if the channel transfer function does not have special uniformly spaced zeros. This condition leads to several necessary and sufficient conditions on the observation spectra and the channel impulse response. Based on the frequency-domain formulation, a new identification algorithm is proposed

Blind channel identification based on second-order statistics: a frequency-domain approach

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Conformal Array Antenna Theory And Design

This paper presents a dual band circular microstrip patch antenna with an elliptical slot for future 5G mobile communication networks. The antenna has resonating frequencies of 28 GHz and 45 GHz, with bandwidths of 1.3 GHz and 1 GHz, respectively. Efficiency of the antenna is 85.6% at 28 GHz and 95.3% at 45 GHz. The return loss at 28 GHz is −40 dB, with maximum gain of 7.6 dB while at 45 GHz return loss is −14 dB with maximum gain of 7.21 dB. The antenna is designed on a Rogers RT5880 (lossy) substrate with dielectric constant of 2.2 and loss tangent (tan δ) of 0.0013. The antenna has a compact size of 6× 6× 0.578 mm3. Array configuration is used to achieve 12 dB gain, required for mobile communication. The proposed array has resonance frequencies of 28 GHz, 34 GHz and 45 GHz with maximum gain of 13.5 dB and radiation efficiency of 98.75%. Centre series fed technique is used for the excitation of array. SAR value of array antenna obtained at 28 GHz is 1.19 W/kg, at 34 GHz is 1.16 W/kg, and at 45 GHz is 1.2 W/kg. CST Microwave Studio, a 3D simulating tool, is used for the antenna design and calculation of the antenna parameters along with the SAR analysis.

https://www.jpier.org/download/18101401.pdf

Elliptical slot circular patch antenna array with dual band behaviour for future 5G mobile communication networks

https://cyberleninka.org/article/n/192835.pdf

Symmetric encryption algorithms using chaotic and non-chaotic generators: A review.

A depth camera-based novel method is proposed here for efficient facial expression recognition. For each pixel in a depth image, eight local directional strengths are obtained and ranked. Once the rank of all pixels is obtained, eight histograms are developed for the eight surrounding directions. The histograms are then concatenated to represent features for a depth image of a face. This approach is named local directional rank histogram pattern (LDRHP). To combine with LDRHP features, one more robust feature extraction technique named local directional strength pattern (LDSP) is proposed. Typical local directional pattern (LDP) considers only absolute values of edge strengths for a pixel. This generalization in LDP may generate the same patterns for two different kinds of edge pixels. LDSP can overcome this problem. It considers the binary values of the position with the directions representing the highest and lowest original strengths. The highest strength indicates the strongest direction on the bright side of a pixel and the lowest one indicates the strongest direction in the dark side of that pixel. Hence, combining binary positions of these two directions can generate more robust patterns than LDP. Besides, LDSP pattern of a pixel is of six bits, whereas traditional LDP-based patterns are of eight bits (e.g., local directional deviation-based pattern and local directional position pattern). Thus, LDSP reduces the dimension of features with the same time adding robustness. For a depth image in a depth video, LDSP features are augmented with LDRHP features followed by Kernel principal component analysis and generalized discriminant analysis to generate more robust features. At last, the features are trained with a deep learning approach and convolutional neural network for successful facial expression recognition. The proposed approach is compared and shown to outperform the traditional expression recognition methods.

Facial Expression Recognition Using Salient Features and Convolutional Neural Network

In this paper, different scenario-based network performance parameters with optimization for heterogeneous ad-hoc are reviewed, observed and analyzed. Emergency services, traffic congestion and safety issues in transportation system can be resolute by intelligent communication heuristic and transforming information between vehicles and transportation infrastructure. Dynamic behavior of topology, high mobility, congestion, scalability and self-organization makes it difficult and costly to implement in real time deployment. Under different scenarios and conditions performance of different routing protocols and network lifetime are observed in literature by different authors using different simulation tools. Road conditions, variable speed of vehicles, driver unpredictable behavior and obstacles influence the performance of different routing protocols. Mobility and packet size put a great impact on network lifetime. In this paper we analyzed the throughput and packet delivery ratio at different BSMs in three different scenarios one for urban city and two scenarios for routing protocol with varying speed of vehicle. Mobility and link awareness can enhance the network lifetime and other parameters like throughput, goodput and packet delivery ratio of vehicular ad hoc network observed under simulation.

Cross Layer Optimization with QoS for Heterogeneous ad-hoc Network

In this paper, we proposed a new model for recognizing various emotions of humans with different age groups and gender. Fuzzy is used for extracting more accurate region of interest, i.e., face. The dimensionality of face image is reduced by the Principal Component Analysis (PCA) [12] and finally emotion is recognized and classified using Euclidean Distance. Database is prepared and some performance metrics like recognition-rate v/s Eigen-range has been calculated. The proposed method was also tested on FACES Collection database [13]. The experiment results demonstrate that the emotion recognition system has been successful with average recognition rate of 96.66% (with both experiment databases) when approximately or more than 60% eigenfaces used. It is also shown that database can be easily expanded to classify faces and non faces images.

https://www.researchgate.net/profile/Sandip_Vijay2/publication/267871570_Human_Emotion_Recognition_and_Classification_from_Digital_Colour_Images_Using_Fuzzy_and_PCA_Approach/links/546092c90cf295b561620cc4.pdf

Human Emotion Recognition and Classification from Digital Colour Images Using Fuzzy and PCA Approach

In this paper, four routing protocols AODV (Adhoc On demand distance vector), ZRP (Zone routing protocol), DSR (Dynamic Source Routing), and DYMO (Dynamic Manet On Demand), are analyzed and compared by using QualNet simulator on the basis of performance metrics such as Throughput, Average End-to-End Delay, Average Jitter, Total Packets Received, Packet Delivery Ratio, Energy Consumption in transmit mode, receive mode, sleep mode and idle mode. The results are taken, examined and analyzed in order to test the efficiency of these four protocols using different energy models. From the study performed it has been analyzed that ZRP consumes maximum energy while other protocols show similar consumption with Generic as the maximum energy consuming mode in transmit receive and idle modes. Mica-motes consumes energy in sleep mode while it shows the least consumption in transmit and receive mode for all the four protocols.

/pdf/energy-model-based-performance-analysis-of-wireless-sensor-fegm1xjagw.pdf

Energy Model based Performance Analysis of Wireless Sensor Networks

One of the major challenges in wireless ad hoc network is the design of robust routing protocols. The routing protocols are designed basically to established correct and efficient paths between source and destination. In the recent years several routing protocols have been proposed in literature and many of them studied through extensive simulation at different network characteristics. This paper present performance comparison of four mobile ad-hoc network routing protocols i.e. Ad-hoc On Demand Distance Vector (AODV), (DYMO), Bellman using Qualnet 5.0.2 The performance analysis is based on different network metrics such as End-to-End delay(s), Average Jitter(s), Total packet received and Throughput

Performance Analysis of AODV, DYMO and Bellman Routing Protocols in Mobile Ad-Hoc Network

This paper compares the different parameters for differently configured single substrate circular patch and double substrate square patch microstrip antenna. The proposed antenna 1 is fed by proximity coupled feed whereas the proposed antenna 2 is single fed to excite the antenna. Copper clad substrate is used in this design. The circular polarization is achieved by the proposed antennas without 90° hybrid coupler. The proposed antennas are applicable for L and S band applications (1.26GHz and 2.56/2.65 GHz respectively). The gain of both of the antenna are approximately same. This comparison will provide the technique for miniaturization using single substrate.

/pdf/comparative-analysis-of-a-circularly-polarized-microstrip-1nl9o6mht3.pdf

Sandip Vijay

Papers

Cross Layer Optimization with QoS for Heterogeneous ad-hoc Network

Human Emotion Recognition and Classification from Digital Colour Images Using Fuzzy and PCA Approach

Energy Model based Performance Analysis of Wireless Sensor Networks

Performance Analysis of AODV, DYMO and Bellman Routing Protocols in Mobile Ad-Hoc Network

Comparative Analysis of a Circularly Polarized Microstrip Antenna with a Cross-Slot using Single and Double Substrate