In order to solve the problem of low classification accuracy for frequency hopping signals under low signal-to-noise ratio, a classification method of frequency hopping signal is presented. By using STFT to gain time-...
In order to solve the problem of low classification accuracy for frequency hopping signals under low signal-to-noise ratio, a classification method of frequency hopping signal is presented. By using STFT to gain time-frequency distribution features, and reducing noise component, the time-frequency distribution image of frequency hopping signal is got. By training convolutional neural network for time-frequency distribution image, the frequency hopping signals are classified. The simulation results show that the average recognition accuracy of frequency hopping signal reaches 90.61% when the signal-to-noise ratio is 0dB. Because of avoiding to use the large amount of sampling data directly to extract features, the method improves the processing efficiency.
In order to de-noise the noise signal generated by radar and other military equipment and recover the original signal, two simulation models, Bp neural network and Elman neural network, were established by using MATLA...
In order to de-noise the noise signal generated by radar and other military equipment and recover the original signal, two simulation models, Bp neural network and Elman neural network, were established by using MATLAB simulation software to de-noise the signal. Some parameters of neural network in signal denoising process are changed to observe the influence of these parameters on neural network. Through the final simulation analysis, it is found that Elman neural network has better effect than Bp neural network, which is more suitable for noise processing and data prediction of radar and other military equipment, while Bp neural network is more suitable for solving problems with complex internal mechanism.
Cross-modal retrieval aims at enabling flexible retrieval across different modalities. The core of cross-modal retrieval is to learn projections for different modalities and make instances in the learned common subspa...
详细信息
Online monitoring of the dielectric loss of capacitive equipment is an effective method to judge its insulation status. Because the higher harmonics and noise signals in the power grid will bring errors to the measure...
详细信息
This survey presents an overview of recent attempts on semantic segmentation on biomedical images using deep learning techniques. Deep learning is a revolutionary technology and recent advances in it have made it poss...
详细信息
The power sector has been widely invested-in for many years. There is a need in finding lasting solutions that can ameliorate the ever-dynamic challenges attached to it which makes the researcher looking for technique...
详细信息
Some appearance defects will inevitably occur during the production of injection parts. Traditional manual detection is slow and error-prone. Aiming at this point, this paper proposes to use machine vision technology ...
详细信息
Now-a-days online reviews have become an indispensable resource for customers'decision making before purchasing any product. Product reviews provide valuable information that helps customers, retailers, and produc...
详细信息
The proceedings contain 70 papers. The special focus in this conference is on Soft Computing andsignalprocessing. The topics include: Human Pose Estimation and Activity Classification Using machinelearning Approach...
ISBN:
(纸本)9789811524745
The proceedings contain 70 papers. The special focus in this conference is on Soft Computing andsignalprocessing. The topics include: Human Pose Estimation and Activity Classification Using machinelearning Approach;implementation of Interpolation in Credit Card Fraud Detection;A Statistical-Semantic PSO Model for Customer Reviews-Based Question Answering Systems;low-Cost IoT Based Spirometer Device with Silicon Pressure Sensor;recommending Research Article Based on User Queries Using Latent Dirichlet Allocation;an Applied Time Series Forecasting Model for Yield Prediction of Agricultural Crop;design and Implementation of the Protocol for Secure Software-Based Remote Attestation in IoT Devices;label Assignment and Sentimental Analysis for a Product Review on Twitter Data;preserving the Privacy of Audio File Using Ideal Secret Sharing Scheme with Cloud Storage;hadoop Performance Acceleration by Effective Data and Job Placement;modified Quick Fuzzy Hypersphere Neural Network for Pattern Classification Using Supervised Clustering;third Eye: Assistance for Reading Disability;enhanced Attach Procedure for Prevention of Authentication Synchronisation Failure Attack;static Load Balancing Algorithms in Cloud Computing: Challenges and Solutions;a Survey on Text Question Responsive Systems in English and Indian Languages;vehicle Type Classification Using Deep learning;Deep learning Approach: Detection of Replay Attack in ASV Systems;acoustic Scene Classification Using Convolutional Neural Network;classification of Microscopic Algae: An Observational Study with AlexNet;Innovative Secure Authentication Interface for Hadoop Cluster Using DNA Cryptography: A Practical Study;a Novel True Colour Image Bit Modification Technique for Image Steganography;A GRU-Based Neural machine Translation Followed by Proper Noun Transliteration;real-Time Suspicious Activity Detection.
In modern society and economy, a "personal data" can be considered as an "asset" with an own intrinsic value: since the increasing speed of technological evolution (added to the borderless context ...
详细信息
暂无评论