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Optimal Filtering

Single channel noise reduction using unified joint diagonalization and optimal filtering

Single channel noise reduction using unified joint diagonalization and optimal filtering

... Speech signals corrupted by additive noise suffer from a lower perceived quality and lower intelligibility than their clean counterparts and cause listeners to suffer from fatigue after extended exposure. Moreover, ...

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Joint fundamental frequency and order estimation using optimal filtering

Joint fundamental frequency and order estimation using optimal filtering

... the optimal filtering methods and their properties have been ...the optimal filtering methods have been demonstrated, in computer simulations, to have good performance in terms of the ...

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Optimal filtering for systems governed by coupled ordinary and partial differential equations

Optimal filtering for systems governed by coupled ordinary and partial differential equations

... -7- In Chapter IV an optimal filter is derived for a completely general class of stochastic systems governed by coupled nonlinear ordinary and partial differential equations of either fi[r] ...

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GSVD-Based Optimal Filtering with Analog Circuits Preprocessing for Interference Suppression in ELF Communication

GSVD-Based Optimal Filtering with Analog Circuits Preprocessing for Interference Suppression in ELF Communication

... Given that the magnetic core has greater impact on the performance of the magnetic antenna, the iron-based nanocrystalline alloy with maximum permeability greater than 80000 is chosen as the magnetic core. In the process ...

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Optimal Filtering of Complex Turbulent Systems with Memory Depth through Consistency Constraints.

Optimal Filtering of Complex Turbulent Systems with Memory Depth through Consistency Constraints.

... The classical theoretical result for convergence of the Kalman filter formulation [20] states that a necessary condition for linear filtering stability is the observability condition. Recently, Majda and Grote ...

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ACTIVE VIBRATION CONTROL OF A FLEXIBLE MANIPULATOR USING MODEL PREDICTIVE CONTROL AND KALMAN OPTIMAL FILTERING

ACTIVE VIBRATION CONTROL OF A FLEXIBLE MANIPULATOR USING MODEL PREDICTIVE CONTROL AND KALMAN OPTIMAL FILTERING

... The Kalman filter is generally used as an optimal state observer for systems which cannot be modelled accurately using only a deterministic model. It estimates the state variables given the presence of modelling ...

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SVD Based Optimal Filtering Technique for Noise Reduction in Hearing Aids Using Two Microphones

SVD Based Optimal Filtering Technique for Noise Reduction in Hearing Aids Using Two Microphones

... To evaluate the improvement of the speech intelligibility of noise reduction algorithms different performance metrics have been developed, which are mostly based on an averaged intelligibility gain. The basic idea was ...

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Optimal array filtering for seismic inversion

Optimal array filtering for seismic inversion

... Figure 3.6 shows a ‘worst case’ example where a plane wavefront is inci- dent on a rectangular sensor array with azimuth chosen so that only √ N different relative signal delays are available instead of N . One major ...

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Stateless Packet Filtering Firewall on the NIC & Address Based Filtering

Stateless Packet Filtering Firewall on the NIC & Address Based Filtering

... The last line of defense is always the structure of the wall, and guards of the castle keep itself. Today the keep is your network server that provides customers with web content, partners with business data, and ...

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IMAGE FILTERING

IMAGE FILTERING

... Images are usually defined as 2-Dimensional functions that carry data and help perceive some particular object [1]. Images can be compared to signals. Hence most of the techniques used on various signals can be applied ...

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Autonomous crowds tracking with box particle filtering and convolution particle filtering

Autonomous crowds tracking with box particle filtering and convolution particle filtering

... Autonomous systems such as Unmanned Aerial Vehicles (UAVs) need to be able to recognise and track crowds of people, e.g. for rescuing and surveillance purposes. Large groups generate multiple measurements with uncertain ...

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Implicit filtering and optimal design problems

Implicit filtering and optimal design problems

... The role of the scale, like the temperature in an annealing algorithm, the simplex size in the pattern search algorithms [16], [20], [21], the time step in the explicit ltering algorithm in [10], or the adaptivity ...

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Spam filtering

Spam filtering

... Here we have developed the Prototype for SPAM Filtering which provides security to users against SPAM emails. Here we also analysed that with the help of HADOOP framework we could provide advance Analysis to the ...

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Sequential estimation of intrinsic activity and synaptic input in single neurons by particle filtering with optimal importance density

Sequential estimation of intrinsic activity and synaptic input in single neurons by particle filtering with optimal importance density

... Figure 5 shows the results for a single realization when a number of parameters in the nominal model are unknown. We considered one, two, and four unknown parameters. Each of the plots include M = 100 iterations of the ...

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Improving state estimates over finite data using optimal FIR filtering with embedded unbiasedness

Improving state estimates over finite data using optimal FIR filtering with embedded unbiasedness

... that optimal FIR filters are essen- tially the full-horizon filters but their batch forms are com- putationally inefficient, we now focus our attention on the fast iterative form for OFIR-EU filter and plan to ...

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NICT’s Corpus Filtering Systems for the WMT18 Parallel Corpus Filtering Task

NICT’s Corpus Filtering Systems for the WMT18 Parallel Corpus Filtering Task

... Our settings were the same for all of the NMT systems. For each method, we use their score to select the top 100M and 10M sentences to train the corresponding NMT systems. In Table 4, “Origi- nal” means the original ...

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Bayesian Filtering. Scoring

Bayesian Filtering. Scoring

... Bayesian analysis involves teaching a system that a particular input gives a particular result. For Spam filtering, this teaching is repeated, many times over, with many spam and ham emails. Once this is finished, ...

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Web filtering and censoring

Web filtering and censoring

... While most countries depend solely on IP or URL filtering, China also exercises content filtering via its state-licensed ISPs. Content fil- ters purchased largely from foreign security companies examine ...

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SPAM MAIL FILTERING

SPAM MAIL FILTERING

... data filtering method is ...innovative filtering technique using instance selection method (ISM) to reduce the pointless data instances from training model and then classify the test ...

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Implicit Rating and Filtering

Implicit Rating and Filtering

... When explicit ratings are used in social filtering systems (where the ratings of other users are used to generate predictions) the costs and benefits are clearly represented at the interface. The act of rating ...

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