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Signal Processing and Communications Laboratory Seminars
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The Signal Processing and Communications Laboratory holds regular seminars, followed by questions and tea. They are open to all. If you have a question about this list, please contact: rff22; Laura Reed; Dr Ramji Venkataramanan. If you have a question about a specific talk, click on that talk to find its organiser. 4 upcoming talks and 197 talks in the archive. Engineering and medicine: Opportunities in type 1 diabetes
Research Challenges in Applying Control to Wheel-Rail Contact Problems
Plug-and-Play Synthesis and Computation of Predictive Controllers
Sensor fusion and parameter inference in nonlinear dynamical systems
"Biased excitable networks: how cells direct motion in response to gradients (a control perspective)"
Digitisation of modern and traditional dances using motion capture technology
Programming Cells: Computing with DNA
Predictive control of mechatronic systems
Predictive control of mechatronic systems
Pre CDC talk
Practical progress and research challenges in wireless technology.
Compressed Sensing in Cancer Biology? (A Work in Progress)
Dual-Tree Complex Wavelets - their key properties and a range of image-processing applications
Innovation in Cambridge Engineering – how to foster it?
Audio/Video R&D at Google
Probabilistic Methods in Cancer Biology
Financial Modelling with 2-EPT Levy Processes
Introduction to the physics and modelling of electro- and magnetoencephalography
Engineering and Control of Biological circuits: from yeast to mammalian cells
Economic MPC and the role of exponential turnpike properties
Estimation, Identification and control of cell populations
Probabilistic Amplitude and Frequency Demodulation
Stroke Rehabilitation using Electrical Stimulation & Robotics: Open problems in control, identification, sensing and motor learning
Entropy and data compression (II)PLEASE NOTE: There will be no lectures during the Easter break (12 March - 9 April). Lectures will resume on 16 April.
Decentralized Optimal Control and Connections to the Human Motor System
Modelling Network Data
Entropy and data compression (I)
On the Equivalence of TCM Encoders
Introduction to information theory
Combinatorial Channel Signature Modulation for Wireless ad-hoc Networks
Monte Carlo Inference for Alpha-Stable Processes
Optimal proposal densities for particle filters
Rao-Blackwellized Particle Smoothing for Conditionally Linear Gaussian Models (NOTICE CHANGED TIME!)
Compressible distributions and Compressed Sensing
Design and flight testing of nonlinear flight control laws
The SUDOKU Coding Project
Recursive parameter estimation procedures
Monocular 3D Pose Estimation
Hankel structured low rank matrix completion
Data sketching for cardinality and entropy estimation
Local Sequential Monte Carlo Methods
Second- versus fourth-order dynamics in imaging
An internal model principle for consensus in heterogeneous multi-agent systems
Robust stability analysis of linear time-varying feedback systems
Universal laws, architectures, and behaviors of robust, evolvable networks
Applications of Image Registration
Applications of Image Registration
L1 Adaptive Control and Its Transition to Practice
Topics on joint source-channel coding and multiuser detection
Hard decisions do not cause a 2dB power loss
How Much Energy Is Required to Send One Bit Reliably over the Poisson Channel with Feedback?
Control Challenges in Powertrain, Combustion and Drilling Control
Sigma-Points, Cubatures and Rao-Blackwellization in Recursive Bayesian Estimation
What's under the bonnet? A review of Diesel Engines and their control
Coding problems involving values and their positions
Title to be confirmed
A Step Beyond The State Of The Art Robust Model Predictive Control Synthesis Methods
Title to be confirmed
Specification, Design and Verification of Distributed Embedded Systems
Model Predictive Control Design and Implementation for Spacecraft Rendezvous
Simulation, Modelling and Embedded Deployment of Complex Algorithms
Extremes of Random Coding Error Exponents
Physical Layer Network coding for Next Generation Wireless Broadband Networks
Flexible Small Cell Green Networks: Breaking the Spectral Efficiency Barrier
Sequential Monte Carlo methods for estimating large scale volatility matrices - CANCELLED (to be rearranged in Lent term)
Bayesian Alignment of Unlabelled Marked Point Sets Using Random Fields
Online temporally adaptive parameter estimation with applications to streaming data analysis.
Joint Algorithm/Architecture Design of Communication Systems
Improving ARMA-GARCH Forecasting
On the structural controllability of networks of linear systems
Adaptive Monte Carlo on multivariate binary sampling spaces
Adaptive Networks and Bio-Inspired Cognition
The Weiss conjecture for infinite dimensional control systems
Sensor Networks for the Sake of Security - NOW FRIDAY 23rd JULY
Functional methods for the design of shiftable and steerable wavelet transforms
Performance limitations of networked systems with information constraints
Fundamental limits on the suppression of molecular fluctuations
CANCELLED
Title to be confirmed
SIMPLY COOPERATIVE
Adaptive Sensing and Information
Exploring ODE model uncertainty via diffusions, with application to physiological processes
Embedded Optimization for Optimal Control of Mechatronic Systems
Local scoring rules
Optimal experiment design for open and closed loop identification
Bayesian inference for exponential random graphs - POSTPONED DUE TO TRAVEL DIFFICULTIES
Matrix Inequalities with Matrix Unknowns
Regional Climate Change Impact Assessments, Knowledge Action Networks, and the Cambridge/UCSD Global Water Initiative
Collaborating Swarms, Multi-network Topologies and Constrained Coalitional Games
Itakura-Saito nonnegative factorizations of the power spectrogram for music signal decomposition
Event-triggered sampling for state estimation
Estimation of Noisy Diffusions
SMALL, MEDIUM, LARGE: NONLINEAR SYSTEMS ANALYSIS TOOLS USING SUM OF SQUARES
Energy Flow in Interconnected Systems
Adaptive MCMC and Bayesian time-frequency analysis
Performance Improvement in Paper Making using Model Predictive Control
Q-learning and Pontryagin's Minimum Principle
Marginal and joint space representations within ABC, and the issue of bias
Stochastic Model Predictive Control: Tractability and constraint satisfaction
Verifying stability of approximate explicit MPC
Lookahead in Sequential Monte Carlo
Teaching control using lego
Massively Parallel Advanced Monte Carlo Methods on Many-Core Processors
Recent results on Bayesian image recovery
Fault-tolerant control - is it possible?
Recent Theoretical Developments in Optimal Control
An Adaptive Sequential Monte Carlo Algorithm For Bayesian Mixture Analysis
Optimal scaling of the random walk Metropolis
Rare Event Simulation for Processes with Light Tailed Increments
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Rare Event Simulation for Processes with Light Tailed Increments
Mobile Wireless Networked Controlled Systems: Control Issues
Testing for Local Stationarity in Acoustic Signals: Parametric and Nonparametric Approaches
Bit-Interleaved Coded Modulation Systems with Quantized Soft-Out Demodulators
Network Coding for the Multiple Access Channel
Toward Sparse and Structured Projections for Compressed Sensing
Sparse Approximation and Atomic Decomposition: Considering Atom Interactions in Evaluating and Building Signal Representations
Load balancing by network curvature control
Routing and Network Coding on Lines, Stars, and Rings
Synchronverters: Inverters that mimic synchronous generators
Factor Analysis with a Mixture of Gaussian Factors, with Application to Separation of the Cosmic Microwave Background
Research Challenges in Cognitive Radio Networks
Approximate Sparsity Recovery from Noisy Compressed Sensing
Gradient systems: overview and recent results
ROBUST PRACTICAL OUTPUT TRACKING FOR HIGHLY NONLINEAR SYSTEMS
Feedback and Robustness in Population Dynamics
Classification and Dimensionality Reduction using Convex Class Models
Overview of Control Systems Research at the Rolls-Royce Control and Systems University Technology Centre.
Learning transformational invariants from natural movies
Filter Design with Secrecy Constraints
Analytical solutions, duality and symmetry in constrained control and estimation
Visual Signal Processing Algorithms in Post Production
R&D in Control & Optimization in ABB Corporate Research
Control systems for Maglev and active railway suspensions
Compressed sensing: some theory, algorithms and applications
Markov Random Fields for Classification in High Dimensional Spaces with Application to fMRI Analysis
Modularity, polyrhythms, and what robotics and control may yet learn from the brain
Navigation and collision avoidance for aircraft and cars
Model-based EM Source Separation and Localization in Reverberant Mixtures
Stochasticity and bistability in the lac operon
Bayesians turn to experts for advice!
Machine learning based approaches for decision & control under uncertainties (in electric power systems)
Optimal Control behind the Passive Dynamic Walking?
Input-Output Controllability Analysis and Control Structure Selection
Power allocation in delay-limited wireless channels
Learning to Control
Stabilisability via time-delayed feedback: an eigenvalue optimisation approach
From calcium imaging to spikes, using sequential Monte Carlo methods
Performance and Implementation Aspects of Nonlinear Filtering
Hierarchical Bayesian models for audio and music processing
Bayesian Inference for Diffusions using Data Augmentation MCMC
A Bayesian Wavelet-Based Multidimensional Deconvolution With Sub-Band Emphasis
Tracking ground based targets in aerial video with dual-tree wavelet polar matching and particle filtering
Information Fusion for Remote Sensing Satellite Networks
A systems-scale dynamic analysis of complex biology systems
Towards control and design of pulse-based systems
Making Machines Listen
MIMO Systems: Myths & Realities
Subdiagonal pivot structures and associated canonical forms under state isometries
Convex Matrix Inequalities vs Linear Matrix Inequalities
Monte Carlo PHD Filtering
Dynamics of Chemical Reaction Networks
Feedback Control and the Arrow of Time
Blind sparsity constrained inverse problems in volumetric imaging
Stability analysis for hybrid dynamical systems
Eulerian and Lagrangian Observability of Point Vortex Flows
Price Mechanisms for Distributed Control Synthesis
Lattice Decoding for Digital Communications: Where Minkowski Meets Shannon
Signal/Image Reconstruction from Sparse Measurements: Theory, Algorithms and ApplicationsSignal Processing Laboratory Seminar
Some Applications of the Kullback-Leibler Divergence Rate in Hidden Markov Models
Constant-Factor Approximation Algorithms for Stochastic Control
Systems and control challenges in model-based reservoir engineering
Information Flows in Cooperative Networked Control Systems
A behavioural approach to play in mechanical networks
Towards applied nonlinear adaptive control
Random-Set Theory and its Applications to Wireless Communications
Color Image Processing: Basic Foundation and Interesting Problems
New Applications of the Dual-Tree Complex Wavelet Transform
A Guide to Using GPUs for General Signal Processing
Filtering and Smoothing in Non-linear Dynamical Systems using Quadrature Expectation Propagation (EP)
DIMENSIONALITY REDUCTION and FEATURE SELECTION IN HYPERSPECTRAL IMAGE CLASSIFICATION
Efficient stochastic optimal control for navigation and motor planning
Subspace-based Fundamental Frequency Estimation
Methods for the Periodically Correlated Random Processes: Estimation, Decomposition, ModellingNote unusual time and room
Modeling Natural Sounds with Modulation Cascade Processes
Hyperanalytic Denoising
Analysis of Channel Coding for Redundant Sources
Estimating entropy rates with confidence intervals
Reduced kernel rules for classification
Title to be confirmedPostponed
Complex Wavelets: What are they and what can they do?
Sustainability Informatics, present situation, challenges, vision
Audio signal indexing : Application to drum signal separation and transcriptionNote unusual time and room
Gaussian Particle Implementations of Probability Hypothesis Density Filters
Statistical Applications of the Cross-Entropy Method
Geometry of Sparse RepresentationsRoom changed
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