Kapalı

Adaptive and array signal processing (tutoring)

I am looking for people who can teach me below topics.

1. Adaptive Filters

- Single channel adaptive equalization (temporal filter)

- Multi channel adaptive beamforming (spatial filter)

2 Mathematical Background

2.1 Calculus

- Gradients

- Differentiation with respect to a complex vector

- Quadratic optimization with linear constraints (method of Lagrangian multipliers)

2.2 Stochastic processes

- Stationary processes

- Time averages

- Ergodic processes

- Correlation matrices

2.3 Linear algebra

- Eigenvalue decomposition

- Eigenfilter

- Linear system of equations

- Four fundamental subspaces

- Singular value decomposition

- Generalized inverse of a matrix

- Projections

- Low rank modeling

3 Adaptive Filters

3.1 Linear Optimum Filtering (Wiener Filters)

- Principle of Orthogonality

- Wiener-Hopf equations

- Error-performance surface

- MMSE (minimum mean-squared error)

- Canonical form of the error-performance surface

- MMSE filtering in case of linear Models

3.2 Linearly Constrained Minimum Variance Filter

- LCMV beamformer

- Minimum Variance Distortionless Response (MVDR) spectrum: Capon's method

- LCMV beamforming with multiple linear constraints

3.3 Generalized Sidelobe Canceler

3.4 Iterative Solution of the Normal Equations

- Steepest descent algorithm

- Stability of the algorithm

- Optimization of the step-size

3.5 Least Mean Square (LMS) Algorithm

3.6 Recursive Least Squares (RLS) Algorithm

4 High-Resolution Parameter Estimation

- Data model (DOA estimation)

- Eigendecomposition of the spatial correlation matrix at the receive array

- Subspace estimates

- Estimation of the model order

4.1 Spectral MUSIC

- DOA estimation

- Example: uniform linear array (ULA)

- Root-MUSIC for ULAs

- Periodogram

- MVDR spatial spectrum estimation (review)

4.2 Standard ESPRIT

- Selection matrices

- Shift invariance property

4.3 Signal Reconstruction

- LS solution

- MVDR / BLUE solution

- Wiener solution (MMSE solution)

- Antenna patterns

4.4 Spatial smoothing

4.5 Forward-backward averaging

4.6 Real-valued subspace estimation

4.7 1-D Unitary ESPRIT

- Reliability test

- Applications in Audio Coding

4.8 Multidimensional Extensions

- 2-D MUSIC

- 2-D Unitary ESPRIT

- R-D Unitary ESPRIT

4.9 Multidimensional Real-Time Channel Sounding

4.10 Direction of Arrival Estimation with Hexagonal ESPAR Arrays

5 Tensor-Based Signal Processing

5.1 Introduction and Motivation

5.2 Fundamental Concepts of Tensor Algebra

5.3 Elementary Tensor Decompositions

- Higher Order SVD (HOSVD)

- CANDECOMP / PARAFAC (CP) Decomposition

5.4 Tensors in Selected Signal Processing Applications

6 Maximum Likelihood Estimators

6.1 Maximum Likelihood Principle

6.2 The Fisher Information Matrix and the Cramer Rao Lower Bound (CRLB)

- Efficiency

- CRLB for 1-D direction finding applications

- Asymptotic CRLB

Beceriler: Matlab ve Mathematica , Matematik, Algoritma, İstatistik, Mühendislik

Daha fazlasını gör: multisim audio signal processing project help, ofdm signal processing, signal processing excel, matlab signal processing freelance, radar signal processing jobs, looking people looking money, audio signal processing net development, looking people need job, audio signal processing python, signal processing matlab project, signal processing money, radar signal processing simple project, metatrader email signal processing, where can i find people who are looking for digital marketing, where can i find people looking for graphic design projects, adaptive signal processing projects

İşveren Hakkında:
( 0 değerlendirme ) Ilmenau, Germany

Proje NO: #31627931

Bu iş için 3 freelancer ortalamada ₹2333/saat teklif veriyor

saied2017

Hello I'm Mohamed saeed control engineer with high experience I have checked your jopb and ready to help you in your project.

₹1500 INR / saat tutarından itibaren
(62 Değerlendirme)
6.6
nik016

Hello, I have a PhD in signal processing and have been teaching "Adaptive filters" and "Array Signal Processing", at graduate level in the university. I can teach you all the above subjects from the beginning to the e Daha Fazla

₹3900 INR / saat tutarından itibaren
(3 Değerlendirme)
3.9
(6 Değerlendirme)
3.8