SIGNAL SYNTHESIS AND RECOVERY TECHNIQUES

Name: SIGNAL SYNTHESIS AND RECOVERY TECHNIQUES
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Rating: 4 (125 reviews)

ECE 735

과목 설명

Signals and their representation. Signal synthesis subject to constraints on peak voltage, energy, duration-bandwidth product. The theory of alternating projections onto convex sets and applications to inverse problems in signal processing: signal recovery using incomplete data, image recovery in tomography using limited views, phase retrieval in optical astronomy.

선수과목

Graduate/professional standing

충족 요건

This course does not satisfy any prerequisites.

학점

미보고

개설 시기

미보고

평점

2.92

-8.4% 과거 데이터 대비

수료율

100%

과거 데이터 대비 변화 없음

A 비율

50%

68.92% 과거 데이터 대비

학급 규모

-56.8% 과거 데이터 대비

Cumulative Grade Distribution

강사 (2026 Summr)

다음 사이트의 평점순으로 정렬 Rate My Professors

유사 과목

SIGNALS AND SYSTEMS

ECE 330

Time-domain response and convolution; frequency-domain response using Fourier series, Fourier transform, Laplace transform; discrete Fourier series and transform; sampling; z-transform; relationships between time and frequency descriptions of discrete and continuous signals and systems.

ADVANCED DIGITAL IMAGE PROCESSING

ECE 738

Deterministic and stochastic spatio-temporal image models, transform domain processing, Markov random fields and anisotropic diffusion; MAP parameter estimation, ill-posed inverse problems, robust statistics and non-linear digital filtering in image processing. Applications to image restoration, motion estimation, (video) image compression (MPEG, JPEG) and tomography. Knowledge of image processing [such asE C E/COMP SCI 533] strongly encouraged.

DIGITAL SIGNAL PROCESSING

ECE 431

Sampling continuous-time signals and reconstruction of continuous-time signals from samples; spectral analysis of signals using the discrete Fourier transform; the fast Fourier transform and fast convolution methods; z-transforms; finite and infinite impulse response filter design techniques; signal flow graphs and introduction to filter implementation.

IMAGE PROCESSING

COMPSCI/ECE 533

Mathematical representation of continuous and digital images; models of image degradation; picture enhancement, restoration, segmentation, and coding; pattern recognition, tomography.

SIGNALS, INFORMATION, AND COMPUTATION

ECE 203

Introduction to the signals, information, and computational techniques in electrical engineering.