DIGITAL SIGNAL PROCESSING

Name: DIGITAL SIGNAL PROCESSING
Availability: OutOfStock
Rating: 4.2 (634 reviews)

ECE 431

과목 설명

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.

선수과목

ECE 330 , graduate/professional standing, or member of Engineering Guest Students

충족 요건

This course does not satisfy any prerequisites.

학점

미보고

개설 시기

미보고

평점

3.48

2.6% 과거 데이터 대비

수료율

100%

2.09% 과거 데이터 대비

A 비율

36%

-18.49% 과거 데이터 대비

학급 규모

49.84% 과거 데이터 대비

Cumulative Grade Distribution

강사 (2026 Summr)

다음 사이트의 평점순으로 정렬 Rate My Professors

유사 과목

INTRODUCTION TO REAL-TIME DIGITAL SIGNAL PROCESSING

ECE 303

Emphasizes the implementation of DSP algorithms on a digital signal processor in "real-time." Many of the signal processing algorithms that were used inE C E 203will be reviewed in MATLAB and then will be implemented on a floating point signal processor in "real-time" using the C programming language. Explore many basic digital signal processing processes in real-time. Gain the ability to create and develop your own Digital Signal Processing projects for a modern digital signal precessor using an Integrated Development Environment. Lab hardware will be provided.

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.

DIGITAL SIGNAL PROCESSING LABORATORY

ECE 432

Implementation of digital signal processing algorithms on special-purpose and general-purpose hardware. Use of assembly and high-level languages, and simulator to develop and test IIR, FIR filters and the FFT for modern DSP chips. Scaling for fixed point arithmetic. Use of high level languages to implement real time, object oriented component based DSP systems in general purpose computers. DSP applications, including data and voice communication systems.

COMMUNICATION SYSTEMS I

ECE 436

Amplitude, frequency, pulse, and pulse-code modulation. Narrow-band noise representation and signal-to-noise ratios for various modulation schemes. Pulse shaping, timing recovery, carrier synchronization, and equalization. Sampling, quantization and coding.

SIGNALS, INFORMATION, AND COMPUTATION

ECE 203

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