K-best Schnorr–Euchner (KSE) decoding algorithm is proposed in this paper to approach near-maximum-likelihood (ML) performance for multiple-input–multiple-output (MIMO) detection.
Electronic Codebook Mode (ECB),Cipher Block Chaining Mode (CBC).Cipher Feedback Mode (CFB) Only blocks of j <= 64 bits are enciphered at a time. A small j requires more cycles through the encipherment algorithm per unit of plaintext and thus grea
About A natural language parser is a program that works out the grammatical structure of sentences, for instance, which groups of words go together (as "phrases") and which words are the subject or object of a verb. Probabilistic parsers use knowled
Tokenization of raw text is a standard pre-processing step for many NLP tasks. For English, tokenization usually involves punctuation splitting and separation of some affixes like possessives. Other languages require more extensive token pre-process
Chapter 1. Introduction 1.1 Is Pattern Recognition Important? 1.2 Features, Feature Vectors, and Classifiers 1.3 Supervised, Unsupervised, and Semi-Supervised Learning 1.4 MATLAB Programs 1.5 Outline of the Book Chapter 2. Classifiers Based on Bayes
5G wireless Communication MIMO K-Best Algorithm The demand for wireless and high-rate communication system is increasing gradually, and multiple input multiple-output (MIMO) is one of the feasible solutions to accommodate the growing demand for its
