Teaching Responsibility

LJMU Schools involved in Delivery:

LJMU Partner Taught

Learning Methods

Lecture
Practical
Tutorial

Module Offerings

7516ELEMST-SEP-PAR

Aims

This module aims to develop an advanced understanding of techniques and practical experience in industry-oriented applications of digital signal processing.

Learning Outcomes

1.
Demonstrate advanced understanding of the concepts and analytical tools for DSP systems
2.
Design and implement a range of complex digital filters
3.
Apply high level techniques for a stochastic signal
4.
Use DSP to implement a range of complex engineering applications

Module Content

Outline Syllabus:Digital Signal Processing (DSP) and Systems – Fundamentals, Architectures and Characteristics Analysis Tools and Transforms – Fourier: CTFT, DTFT, DFT, FFT; Laplace and Z-transforms Digital Filters: Design and Implementation – FIR, Analogue Prototypes, IIR, Algorithms Stochastic signal processing, Random Processes, Spectrum, PSD, white noise DSP Implementations: Multirate Signal Processing – Sampling, Aliasing, Interpolation and Decimation Speech Processing – LPC, Synthesis, Coding and Recognition A/D and D/A Conversions – Quantization, Sample and Hold, Antialiasing, Acquisition Digital Communication – Digital modulation, Multiplexing, Noise Modulation – MIMO, OFDM, Wavelets, Data Transmission – bandwidth, Coding, Entropy, Errors Radio Frequency - Signal Conditioning, Down and Up Conversions, Detection, DDC, NCO, CIC Filter, Sparse Antenna Array Design - Factorization Approach, Aperture Functions
Additional Information:This module aims to develop an advanced understanding of techniques and practical experience in industry-oriented applications of digital signal processing.

Assessments

Exam
Report