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SIGNAL PROCESSING 2019-2020

 


PROJECT CODE SIGNAL PROCESSING 2019-2020 DOWNLOAD

OK9SP01

A New Construction Framework for Polyphase Complete Complementary Codes With Various Lengths

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OK9SP02

A Theoretical Framework of Robust H-Infinity Unscented Kalman Filter and Its Application to Power System Dynamic State Estimation

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OK9SP03

Advanced Low-Complexity Multicarrier Schemes Using Fast-Convolution Processing and Circular Convolution Decomposition

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OK9SP04

Advances in Distributed Graph Filtering

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OK9SP05

Communication-Censored ADMM for Decentralized Consensus Optimization

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OK9SP06

Convergence Analysis of Gaussian Belief Propagation Under High-Order Factorization and Asynchronous Scheduling

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OK9SP07

Correction of Corrupted Columns Through Fast Robust Hankel Matrix Completion

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OK9SP08

Covariance Matrix Estimation From Linearly-Correlated Gaussian Samples

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OK9SP09

DeepLOB Deep Convolutional Neural Networks for Limit Order Books

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OK9SP10

Delta-Ramp Encoder for Amplitude Sampling and Its Interpretation as Time Encoding

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OK9SP11

Designing Sets of Binary Sequences for MIMO Radar Systems

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OK9SP12

Eigendecomposition-Free Sampling Set Selection for Graph Signals

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OK9SP13

Ergodicity in Stationary Graph Processes A Weak Law of Large Numbers

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OK9SP14

Estimation From Quantized Gaussian Measurements When and How to Use Dither

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OK9SP15

Frame-Based Sparse Analysis and Synthesis Signal Representations and Parseval K-SVD

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OK9SP16

Gather and Conquer Region-Based Strategies to Accelerate Safe Screening Tests

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OK9SP17

Information-Theoretic Pilot Design for Downlink Channel Estimation in FDD Massive MIMO Systems

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OK9SP18

Invertible Particle-Flow-Based Sequential MCMC With Extension to Gaussian Mixture Noise Models

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OK9SP19

Joint Optimization of Dimension Assignment and Compression in Distributed Estimation Fusion

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OK9SP20

Joint Time-of-Arrival Estimation for Coherent UWB Ranging in Multipath Environment With Multi-User Interference

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OK9SP21

Learning Optimal Resource Allocations in Wireless Systems

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OK9SP22

Learning ReLU Networks on Linearly Separable Data Algorithm, Optimality, and Generalization

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OK9SP23

Localization From Incomplete Euclidean Distance Matrix Performance Analysis for the SVD-MDS Approach

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OK9SP24

Multi-user regularized zero-forcing beamforming

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OK9SP25

New Saddle-Point Technique for Non-Coherent Radar Detection With Application to Correlated Targets in Uncorrelated Clutter Speckle

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OK9SP26

Noisy Accelerated Power Method for Eigenproblems With Applications

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OK9SP27

Non-Existence of Convolution Sum System Representations

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OK9SP28

On the Two-User MISO Interference Channel With Single-User Decoding Impact of Imperfect CSIT and Channel Dimension Reduction

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OK9SP29

Online Graph-Adaptive Learning With Scalability and Privacy

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OK9SP30

Online Power Optimization in Feedback-Limited,Dynamic and Unpredictable IoT Networks

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OK9SP31

Optimal Spectral Initialization for Signal Recovery With Applications to Phase Retrieval 

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OK9SP32

Projected Stochastic Primal-Dual Method for Constrained Online Learning With Kernels

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OK9SP33

Robustness of Difference Coarrays of Sparse Arrays to Sensor Failures—Part I A Theory Motivated by Coarray MUSIC

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OK9SP34

Robustness of Difference Coarrays of Sparse Arrays to Sensor Failures—Part II Array Geometries

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OK9SP35

Semi-Blind Inference of Topologies and Dynamical Processes Over Dynamic Graphs

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OK9SP36

Source Resolvability of Spatial-Smoothing-Based Subspace Methods A Hadamard Product Perspective

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OK9SP37

Space-Time Media-Based Modulation

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OK9SP38

Stable Principal Component Pursuit via Convex Analysis

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OK9SP39

State-Space Adaptive Nonlinear Self-Interference Cancellation for Full-Duplex Communication

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OK9SP40

Structured and Unstructured Outlier Identification for Robust PCA A Fast Parameter Free Algorithm

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OK9SP41

Tight Performance Bounds for Compressed Sensing With Conventional and Group Sparsity

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OK9SP42

Trainable ISTA for Sparse Signal Recovery

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OK9SP43

Transmit MIMO Radar Beampattern Design via Optimization on the Complex Circle Manifold

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OK9SP44

Two-Dimensional Super-Resolution via Convex Relaxation

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OK9SP45

Two-Stage Analog Combining in Hybrid Beamforming Systems With Low-Resolution ADCs

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OK9SP46

Two-Timescale Hybrid Compression and Forward for Massive MIMO Aided C-RAN

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OK9SP47

Uncovering Source Ranges From Range Differences Observed by Sensors at Unknown Positions  Fundamental Theory

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OK9SP48

Unimodality-Constrained Matrix Factorization for Non-Parametric Source Localization

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OK9SP49

User Selection and Power Minimization in Full-Duplex Cloud Radio Access Networks

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OK9SP50

Wideband MIMO Radar Waveform Design

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