Open AccessBook
Fundamentals Of Statistical Signal Processing
About:
The article was published on 2001-03-16 and is currently open access. It has received 7058 citations till now. The article focuses on the topics: Statistical signal processing.read more
Citations
More filters
Proceedings ArticleDOI
Large scale test of sensor fingerprint camera identification
TL;DR: This paper presents a large scale test of camera identification from sensor fingerprints using Flickr, an existing on-line image sharing site, to overcome the problem of acquiring a large number of cameras and taking the images, and reveals several interesting new facts about camera fingerprints and their impact on error analysis in practice.
Journal ArticleDOI
Channel Estimation for OFDM
TL;DR: This survey will first review traditional channel estimation approaches based on channel frequency response (CFR) and Parametric model (PM)-based channel estimation, which is particularly suitable for sparse channels, will be also investigated in this survey.
Journal ArticleDOI
Novel Clock Phase Offset and Skew Estimation Using Two-Way Timing Message Exchanges for Wireless Sensor Networks
TL;DR: This paper proposes novel clock skew estimators assuming different delay environments to achieve energy-efficient network-wide synchronization for WSNs and derives the Cramer-Rao lower bounds and the maximum likelihood estimators under different delay models and assumptions.
Book
MIMO-OFDM for LTE, WiFi and WiMAX: Coherent versus Non-coherent and Cooperative Turbo Transceivers
TL;DR: This monograph is dedicated to the design of practical coherent, non-coherent and cooperative MIMO-OFDM turbo-transceivers.
Journal ArticleDOI
On the impact of PCA dimension reduction for hyperspectral detection of difficult targets
TL;DR: The popular principal components transform [aka. principal components analysis (PCA)] is used to explore the impact that dimension reduction has on adaptive detection of difficult targets in both the reflective and emissive regimes.
References
More filters
Book
Adaptive Filter Theory
TL;DR: In this paper, the authors propose a recursive least square adaptive filter (RLF) based on the Kalman filter, which is used as the unifying base for RLS Filters.
Journal ArticleDOI
Fundamentals of statistical signal processing: estimation theory
TL;DR: The Fundamentals of Statistical Signal Processing: Estimation Theory as mentioned in this paper is a seminal work in the field of statistical signal processing, and it has been used extensively in many applications.
Book
Probability, random variables and stochastic processes
TL;DR: This chapter discusses the concept of a Random Variable, the meaning of Probability, and the axioms of probability in terms of Markov Chains and Queueing Theory.
Book
Probability, random variables, and stochastic processes
TL;DR: In this paper, the meaning of probability and random variables are discussed, as well as the axioms of probability, and the concept of a random variable and repeated trials are discussed.
Book
Discrete-Time Signal Processing
TL;DR: In this paper, the authors provide a thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete time Fourier analysis.