![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
Space Time Code Representation in Transform Domain
In this paper, the space time block code is investigated in transform domain. We represent the orthogonal space time block codes by using a fast Hadamard transform. Additionally, the filter theory is considere...
-
Chapter and Conference Paper
Cocyclic Jacket Matrices and Its Application to Cryptography Systems
We describe the extended Hadamard matrices named Jacket in terms of combinatorial designs, and show that the center weighted Jacket matrices belong to a class of cocyclic matrices. Additionally, a simple publi...
-
Chapter and Conference Paper
Memory Reused Multiplication Implementation for Cryptography System
In this paper, we simply present a memory reused multiplication implementation. This scheme could efficiently reduce the number of computations for cryptography system or other computation algorithms.
-
Chapter and Conference Paper
Decoding Consideration for Space Time Coded MIMO Channel with Constant Amplitude Multi-code System
The space time constant amplitude multi-code design applied to wireless communication is reported in this paper. The propose systems could lead to both simple implementation and the maximum diversity gain corr...
-
Chapter and Conference Paper
High Rate UWB-LDPC Code and Its Soft Initialization
In this paper, we describe a kind of high rate low density parity check (LDPC) code and its decoding scheme for ultra wideband (UWB) communication. Particularly, the proposed scheme uses a hybrid soft normaliz...
-
Chapter and Conference Paper
A Fast Search and Advanced Marking Scheme for Network IP Traceback Model
Defending against distributed denial-of-service (DDoS) attack is one of the hardest security problems on the internet today. In this paper, we investigate a fast search algorithm for IP trace back, which is si...
-
Chapter and Conference Paper
Detecting Changes of Functional Connectivity by Dynamic Graph Embedding Learning
Our current understandings reach the unanimous consensus that the brain functions and cognitive states are dynamically changing even in the resting state rather than remaining at a single constant state. Due t...