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