Automatic Modulation Classification of Overlapped Sources Using Multi-Gene Genetic Programming With Structural Risk Minimization Principle

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

automatic verification of authentication protocols using genetic programming

implicit and unobserved errors and vulnerabilities issues usually arise in cryptographic protocols and especially in authentication protocols. this may enable an attacker to make serious damages to the desired system, such as having the access to or changing secret documents, interfering in bank transactions, having access to users’ accounts, or may be having the control all over the syste...

15 صفحه اول

Dimensionality Reduction and Improving the Performance of Automatic Modulation Classification using Genetic Programming (RESEARCH NOTE)

This paper shows how we can make advantage of using genetic programming in selection of suitable features for automatic modulation recognition. Automatic modulation recognition is one of the essential components of modern receivers. In this regard, selection of suitable features may significantly affect the performance of the process. Simulations were conducted with 5db and 10db SNRs. Test and ...

متن کامل

Automatic selection of features for classification using genetic programming

Classiier design often involves the hand-selection of features, a process which relies on human experience and heuristics. We present the Evolutionary Pre-processor, a system which automatically extracts features for a range of classiication problems. The Evolutionary Pre-processor uses Genetic Programming to allow useful features to emerge from the data, simulating the innovative work of the h...

متن کامل

Dyadic Classification Trees via Structural Risk Minimization

Classification trees are one of the most popular types of classifiers, with ease of implementation and interpretation being among their attractive features. Despite the widespread use of classification trees, theoretical analysis of their performance is scarce. In this paper, we show that a new family of classification trees, called dyadic classification trees (DCTs), are near optimal (in a min...

متن کامل

Automatic Data Based Patient Classification Using Genetic Programming

Classification problems are one of the major topics not only in computer science in general, but also especially in medical data mining. When it comes to automatically classifying patients into those which are possibly suffering from a certain disease and those which are healthy, one often has to face the problem that special tests (such as blood analysis, e.g.) produce high costs of time and m...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEEE Access

سال: 2018

ISSN: 2169-3536

DOI: 10.1109/access.2018.2868224