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Source coding implementation using matlab

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Reference no: EM132294015

Source Coding Implementation Using MATLAB/Simulink

Learning Outcomes

b. Apply and evaluate the principles used in the generation, transmission and reception of digitally modulated signals;
c. Report on the characteristics of sampling and analogue to digital conversion and source coding;
d. Distinguish the digital modulation and demodulation techniques, channel coding and decoding and their performance;
f. Apply the techniques of, and report on, digital communication applications using matlab and hardware devices.

Assignment Description:

The purpose of this assignment is to motivate students to seek application of waveform coding techniques for digital audio transmission and digital audio recording. The assignment has two parts: Part A and Part B.

PART A: Implementation of µ-law and A-law Compander

Most modern communications systems operate in the digital domain for various reasons. However, most practical signals handled by these systems are naturally analogue in nature. Thus, an interface is needed between the signals and the systems handling them. This interface is called analogue-to-digital converter (ADC) and it's reciprocal, digital-to analogue converter (DAC). The three main functions of the ADC are sampling, quantization and encoding.

Requirements

1) Implement nonlinear quantizers µ-law and A-law compander in MATLAB/Simulink and compare the results. Matlab/Simulink code is required to be included in the report.

2) Prepare a report incorporating theories behind non-uniform quantization. Report should include comparison result and its interpretation from the simulation.

PART B: Source Coding in Digital Audio Systems

Digital audio has become an integral part of our lives. Nearly all of the transmission of speech signals over telephone channels is currently digital. Moreover, digital audio recording in the form of compact disks (CDs) has become very popular. This assignment exposes the student to real world applications of digital communication in digital audio transmission and recoding. Therefore, the student shall acquire skills to understand the real world requirements, critically review the existing techniques and write a technical report based on his or her investigation.

Requirements

The student needs to address the following three areas:

1) a) Requirement analysis: student is required to analyze the following for digital audio in telephone transmission systems:
• Bandwidth of speech signals and the required sampling rates to avoid aliasing
• Required number of bits per sample to achieve voice quality in telephony

b) In addition, student is also required to analyze the following for digital audio recording:
• Bandwidth of high quality audio and the required sampling rates
• Required number of bits per sample to achieve a high signal to quantization noise level for high quality audio.

2) Investigation of current methods: student is required to review and analyze waveform-coding techniques used in digital audio transmission and recording at present. At least PCM and DPCM methods need to be covered.

Verified Expert

Digital audio transmission system is implemented in MATLAB and the results are demonstrated.Part A deals with the implementation of A law and u law. Part B deals with the digital audio transmission system.

Reference no: EM132294015

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Reviews

len2294015

4/26/2019 3:17:39 AM

Grade Mark HD 80%+ Excellent Evaluation Logic is clear and easy to follow with strong arguments Sophisticati on and effectivity The presented solution demonstrated an extreme degree of sophistication Explanation All elements are present and well integrated. Reference style Clear styles with excellent source of references. Report structure and report presentation Proper writing. Professionally presented

len2294015

4/26/2019 3:17:31 AM

Section to be included in the report Description of the section Marks Requirements Requirement analysis for digital audio transmission and recoding 25 Current practices Literature review of the current waveform coders covering at least PCM and DPCM 20 Reference style IEEE referencing style 5 Poor writing Inadequate structure, careless presentation, or the report exceeds the word limit by more or less than 10% -10 Plagiarism Type of plagiarism - Copy from other student - Copy from internet source/textbook - Copy from other sources -50

len2294015

4/26/2019 3:12:10 AM

For Part A: Marks are allocated as follows: Section to be included in the report Description of the section Marks MATLAB programming competence Does student demonstrate competence in programming in MATLAB? Does the code run? Does the code solve the intended problem? 15 Non-uniform quantization. competence Does student demonstrate the ability to implement a function in a digital communication system in software? 5 Competence in modern technology Does student demonstrate the understanding of non-uniform quantization, and Why is it needed to be used in digital communications? 5 Critical reflection Does the report demonstrate reflection and understanding of the topic or it was hastily written? 5 Research depth Does the student work demonstrate that the student consulted additional referenced materials on the topic and used the IEEE referencing style well? 5

len2294015

4/26/2019 3:12:01 AM

All work must be submitted on Moodle by the due date along with a completed Assignment Cover Page. The assignment must be in MS Word format, 1.5 spacing, 11-pt Calibri (Body) font and 2 cm margins on all four sides of your page with appropriate section headings. Reference sources must be cited in the text of the report, and listed appropriately at the end in a reference list using IEEE referencing style for School of Business and School of Information Technology and Engineering respectively.

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