We analyze a new group testing system, termed semi-quantitative group testing, which may be viewed as a concatenation of an adder channel and a discrete quantizer. Our focus is on non-uniform quantizers with arbitrary thresholds. For a given choice of parameters for the semi-quantitative group testing model, we define three new families of sequences capturing the constraints on the code design imposed by the choice of the thresholds. The sequences represent extensions and generalizations of Bh and certain types of super-increasing and lexicographically ordered sequences, and they lead to code structures amenable for efficient recursive decoding. We describe the decoding methods and provide an accompanying computational complexity and perfor...
We consider the problem of non-adaptive noiseless group testing of N items of which K are defective....
We consider the following “efficiently decodable ” non-adaptive group testing problem. There is an u...
Abstract — We consider some computationally efficient and provably correct algorithms with near-opti...
Abstract—We consider a novel group testing procedure, termed semi-quantitative group testing, motiva...
We propose a novel group testing framework, termed semi-quantitative group testing, motivated by a c...
We consider threshold group testing – a generalization of group testing, which asks to identify a se...
A non-adaptive quantitative group testing (GT) scheme based on sparse codes-on-graphs in combination...
We introduce a natural generalization of the well-studied group testing problem: A test gives a posi...
We present computationally efficient and provably correct algorithms with near-optimal sample-comple...
We introduce a natural generalization of the well-studied group testing problem: A test gives a posi...
The basic goal in combinatorial group testing is to identify a set of up to d defective items within...
A new decoding algorithm for geometrically uniform TCM schemes is proposed, based on the group prope...
In this paper, we study bounds on the minimum length of ( k, n, d)-superimposed codes introduced by ...
We initiate a computational theory of statistical tests. Loosely speaking, we say that an algorithm ...
PAPER AWARD1. We present computationally efficient and provably correct algorithms with near-optimal...
We consider the problem of non-adaptive noiseless group testing of N items of which K are defective....
We consider the following “efficiently decodable ” non-adaptive group testing problem. There is an u...
Abstract — We consider some computationally efficient and provably correct algorithms with near-opti...
Abstract—We consider a novel group testing procedure, termed semi-quantitative group testing, motiva...
We propose a novel group testing framework, termed semi-quantitative group testing, motivated by a c...
We consider threshold group testing – a generalization of group testing, which asks to identify a se...
A non-adaptive quantitative group testing (GT) scheme based on sparse codes-on-graphs in combination...
We introduce a natural generalization of the well-studied group testing problem: A test gives a posi...
We present computationally efficient and provably correct algorithms with near-optimal sample-comple...
We introduce a natural generalization of the well-studied group testing problem: A test gives a posi...
The basic goal in combinatorial group testing is to identify a set of up to d defective items within...
A new decoding algorithm for geometrically uniform TCM schemes is proposed, based on the group prope...
In this paper, we study bounds on the minimum length of ( k, n, d)-superimposed codes introduced by ...
We initiate a computational theory of statistical tests. Loosely speaking, we say that an algorithm ...
PAPER AWARD1. We present computationally efficient and provably correct algorithms with near-optimal...
We consider the problem of non-adaptive noiseless group testing of N items of which K are defective....
We consider the following “efficiently decodable ” non-adaptive group testing problem. There is an u...
Abstract — We consider some computationally efficient and provably correct algorithms with near-opti...