搜索结果: 1-15 共查到“知识库 signal processing”相关记录32条 . 查询时间(0.068 秒)
Statistical Signal Processing for Novelty Detection
Support Vector Machines Health condition monitoring Novelty detection and Machine learning methods
2015/9/29
The goal of this article is to investigate and suggest techniques for health condition monitoring and diagnosis using machine learning from sensor data. In particular, this article overview and discus...
Some considerations for different time-domain signal processing of pulse compression radar
code correlation ionosphere radar time domain
2015/8/28
Radar technology has for a long time used various systems that allow detection under high-resolution conditions, while emitting at the same time low peak power. Among these systems, transmitted pulse ...
Array signal processing with robust rejection constraints via second-order cone programming
Vector and array signal processing noise the ellipsoid array robust optimization
2015/8/10
We consider the array signal processing problem of choosing the weight vector to minimize noise power, subject to a unit array gain for the desired wave, and subject to rejection constraints on interf...
A minimax theorem with applications to machine learning, signal processing, and finance
convex optimization minimax theorem robust optimization
2015/8/10
This paper concerns a fractional function of the form x^Ta/sqrt{x^TBx}, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, and choosing (a,B)...
Real-time convex optimization in signal processing
Convex optimization signal processing coefficient of algorithm filtering array design
2015/8/7
Convex optimization has been used in signal processing for a long time, to choose coefficients for use in fast (linear) algorithms, such as in filter or array design; more recently, it has been used t...
A Minimax Theorem with Applications to Machine Learning, Signal Processing, and Finance
convex optimization minimax theorem robust optimization
2015/7/9
This paper concerns a fractional function of the form x^Ta/sqrt{x^TBx}, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, and choosing (a,B)...
Real-Time Convex Optimization in Signal Processing
Real-Time Convex Optimization Signal Processing
2015/7/9
Convex optimization has been used in signal processing for a long time, to choose coefficients for use in fast (linear) algorithms, such as in filter or array design; more recently, it has been used t...
Gaussian Processes for Nonlinear Signal Processing
Gaussian Processes Nonlinear Signal Processing
2013/5/2
Gaussian processes (GPs) are versatile tools that have been successfully employed to solve nonlinear estimation problems in machine learning, but that are rarely used in signal processing. In this tut...
Signal processing with Levy information
Signal processing L磂vy process Esscher transformation nonlinear filtering innovations process information process cybernetics.
2012/9/14
L磂vy processes, which have stationary independent increments, are ideal fo modelling the various types of noise that can arise in communication channel If a L磂vy process admits exponential moments, th...
Non-commutative tomography: A tool for data analysis and signal processing
Non-commutative tomography data analysis signal processing
2011/8/2
Abstract: Tomograms, a generalization of the Radon transform to arbitrary pairs of non-commuting operators, are positive bilinear transforms with a rigorous probabilistic interpretation which provide ...
We review some of the issues involved in using different plasmonic guided-wave structures for modulation, switching and filtering.
Asynchronous signal processing for brain-computer interfaces
Asynchronous sigma delta modulators (ASDM) brain computer interface (BCI) wireless OFDM communications prolate spheroidal waveform (PSW) chirp modulation
2011/3/22
Brain-computer interfaces (BCIs) provide a way to monitor and treat neurological diseases. An important application of BCIs is the monitoring and treatment of epilepsy, a neurological disorder charac...
Statistical mechanical analysis of hierarchical random code ensemble in signal processing
Statistical mechanical analysis hierarchical random code ensemble signal processing
2010/11/23
We study a random code ensemble with a hierarchical structure, which is closely related to generalized random energy model with discrete energy values.Based on this correspondence, we analyze this ens...
Efficient Information Aggregation Strategies for Distributed Control and Signal Processing
Efficient Information Aggregation Strategies Distributed Control Signal Processing
2010/12/14
This thesis will be concerned with distributed control and coordination of networks consisting of multiple, potentially mobile, agents. This is motivated mainly by the emergence of large scale network...
Compensation of Cross-gain Modulation in Filtered Multi-channel Optical Signal Processing Applications
Fiber optics communications Phase modulation Radio frequency photonics
2015/6/10
We experimentally demonstrate compensation of nonlinearity due to cross-gain modulation in wideband analog systems employing narrow-band optical filtering, which is essential for multi-channel optical...