M518 Mixed Signal Processors Web Site

This page is created to support the teaching for M518 unit taught by Dr. Branislav Vuksanovic and Hassan Parchizadeh.

C8051F120

Course Overview

This course deals with the techniques and systems used for mixed-signal processing of real-world signals.
Signals from the real-world can be processed using analogue or digital techniques. In some cases, the choice of processing technique is clear, while in a lot of other cases there is no clear choice and a combination of both of those techniques might be best suited to solve the problem. Mixed-signal processors can help engineers realise the requirements of particular system by integrating both analogue and digital processing capabilities onto a common silicon device known as mixed-signal processor (MSP).
This aim of this course is to explain the concepts of mixed-signal systems by considering both signal processing techniques and specific mixed-signal hardware used to implement those techniques and algorithms.

Course Topics, Lecture Handouts and Other Useful Stuff

Lecture (BV part) and lab plan can be found here [pdf].
Deadlines for the laboratory work demonstration are also indicated in the document.

Link to materials for the part of the unit taught by Hassan parchizadeh.

Resources for introduction to DSP and digital filters

Link to a similar course at NDCU.
Lectures on LaPlace Transform, Fourier Transform, Z Transform and FIR filters might be of special interest to students with little DSP background.
Good overview of DSP basics, taken from this book can be downloaded here [pdf].
Link to short and easy online digital filters tutorial.
Introduction to Fourier Transform [pdf] taken from this book.
Link to one more Fourier Transform explanation

Topics covered by Branislav Vuksanovic and related materials:

Introduction to C programming for C8051F120 [pdf] - C knowledge test - [pdf]
You can download Keil uVision simulator from here, install it on your PC and try it on this demo program
Implementing discrete time convolution [pdf]
Implementing discrete time convolution - demos
Try those demo programs for FIR filtering and DT convolution
Block processing:
- straight forward implementation - FIRB1.c
- convolution function based implementation - FIRB2.c
Sample by Sample processing:
- straight forward implementation - FIRS1.c
- circular buffer based implementation - FIRS2.c
- better circular buffer based implementation (uses pointers) - FIRS3.c
Implementing IIR filters and digital resonators [pdf] ... and Matlab demo
- theory and real-time implementation of IIR filters: Z Transforms for the Embedded System Engineer
Simple filter design using pole-zero placement method [pdf]
Frequency estimation, discrete correlation and other tone detection algorithms [pdf]
- summary and C code for DFT and FFT algorithms: DFT & FFT
- some problems with DFT/FFT results
Tutorial [pdf]

How to increase the processor frequency to 100 MHz? - Try using this C function

Handwritten lecture notes (weeks 1-6) [pdf]; (weeks 7-10) [pdf]

Laboratory Handouts

First laboratory is an introduction to hardware and software tools you will use [pdf].

Simple Matlab GUI to help you with your Goertzel filter testing [zip]

Coursework

Coursework specification including assessment dates can be accessed here [pdf].
Current status of coursework demonstrations is here [pdf].

Useful Manuals

C8051F120DK Development Kit User's Guide [pdf]
C8051F120 Technical Summary [pdf]
C51 Compiler Manual [pdf]

Instructor

Dr Branislav Vuksanovic
Senior Lecturer
Electronic & Computer Engineering
Anglesea Building, A3.02
branislav.vuksanovic@port.ac.uk