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Digital Communications and Signal Processing Assignment

创建日期：2024-07-15 17:19:25

所属分类：物理Physical

标签： CV4 7AL

Digital Communications and Signal Processing Assignment

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Digital Communications and Signal Processing Assignment
Winner prize:
the one who gets the highest score to solve question 2 and 8 will be awarded 100 GBP:
the best filter developer and demodulator in 2024
Requirement:
1. Source code needed for question 2, 6, 7, and 8 (commented). In addition, for these questions,
you should include descriptions and useful figures in your report if you find it is useful to
explain your answer better.
2. The plotting code is not necessary to provide, e.g. the plotting code for question1.
3. The final report including the answers of all questions and the required source code should
be zipped together and submitted via Tabula.
4. Please visit the following web site for a submission cover sheet
5. The completed report should be submitted before 12 noon on
Thursday Week 10 (i.e., 15th March 2024).
1. Write the following sinusoids in terms of complex exponentials and plot them both in time and
frequency domains:
a. x(t) = 3 cos ( 100 p t+15o)
b. x(t) = 10 sin(1000 p t)
c. x(t) = 3 sin ( 200 p t-0.2 p)
d. x(t) = 2sin(200 p t)+ 4sin(400 p t)
2. A Chinese character (everyone will be randomly assigned to one, possibly distorted) is drawn,
see for example, as in Fig. 1, using 10 x10 squares and being sampled row by row.
The digital signal is then transmitted using ASK and Manchester code is used. Also, the signal is
coded using parity code (odd parity for rows and even parity for columns). From the file you
received, demodulate them and recover the original signal.
Each signal corresponds to a different 300x300 black-and-white bitmap image. Prior to
modulation, the data was augmented by one extra column and row to include parity bits (odd
parity for rows, even parity for columns). ASK and Manchester coding were used for
modulation. The carrier frequency is 1000 Hz. The data is transmitted row after row. At the end
each row, an 'end-of-row' signal is transmitted (5 periods of a sinusoid wave at half the
frequency of the carrier). The sampling rate of the wave file is 5000 Hz.
Use w=wavread('filename'); to read a .wav file.
3. Assume we have event {N, R} with probability P(N)=0.2 and P(R)=0.8 and the sequences as
shown in Table 1 are coded using the Huffman code. Fill in Table 1 and explain in details how you
created the Huffman tree and the results you obtained. Comment on the average code length and
entropy.
Sequence NNN NNR NRN RNN RRN RNR NRR RRR
Probability
Codeword
Codeword
Length (in
bits)
Weighted
code
length
Entropy
Table 1.
4. Asecond-order digital filter can be described by means of the following diagram (Fig. 2). Derive
the difference equation of the above filter.
Fig. 2.
5. The pole-zero specification of a digital filter is as follows:
Pole Zero
1/2 + j /2, 1/2- j /2 -1, -1
Its gain at d.c. is |H(1)|=1. Determine the z-transfer function of the filter and hence the filter
coefficients (i.e. an and bn where n=0,1,2).
6. Write a subroutine in a conventional programming language (e.g., C, Pascal, Matlab or Java) to
implement the filter. It should have x(n) and the filter coefficients (i.e. a0, a1, a2, b1 and b2) as input
parameters, and y(n) as the output parameter.
7. Use a random number generation subroutine to generate zero mean additive noise x(n) of variance
0.3 and add it to the sinusoid x(m,n)=cos(mn) to produce noisy sequences g(m,n) for m=1,5, i.e.
E x(n) = 0
E x(n) 2 = 0.3
g(m,n) = x(m,n)+ x(n)
Calculate the mean square error
Eem =
M -1
å[x(m, n) - g(m, n)]2
n=0
where M=40. Describe the behaviour of Eem/M as a function of M.
8.Using a filter designed by yourself to clean up the noise as much as possible. Write down in details on how
you do it into a report and submit the code and report via Tabula.

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1300A ENGG 1300 OLET1139 STAT 3503 STAT 206 FEM11149 ELEN 4720 COMP20003 SOLA1070 CS574 C11CS LINB29H3 MAST90083 ECON7200 STAT 610 LINB29 DSM-5 COMP3161 EEEN40010 MATH 4431 K353 STA 3386 IERG4300 COMS W4167 ENG5298 AMME 2302 CS3910 COMPSCI 320 STATS 369 GR5242 COSC 328 CSCI435 MGTS1301 INFS2200 COMP3900 CIS 375 Module AE03 COMP3121 CS260 HAM503 MGMT5050 INT3075 COSC 285 GEOL0029 GEGE2X01 STAT1201 MATH1061 MMF1941H STAT 5060 CS 520 COMP 4320 MSIN0104 000T FINS3648 ECMT2160 ECON4003 Phys 129L CSE 142 CS 3130 MGEB01 EECS 340 Finance (20443/20444) ECMM149 COMP5310 EEEN60180 CSC 111 AT2 CSCI 4430 STAB57 MA/CSC 427 MATH322 D100 CSCI544 CITS3004 CI6227 CSE 565 APCO 1P01 852L1 ELEC S411F COMP3207 STATS330 ECON7530 FIT5149 CSI4104 CMPT 371 COMP201 SEHS4696 FI4003 MATH6182 CG1 WS MATH401 MGT 205 QTM 110 COMP 0137 MACE12201 FIT5210 ECE 544 BISM7206 HUDM 6055 ECON3203 STATS 210 MSCI 570 MATH6173 COMPSCI4039 Accounting COM3503 AOE2024 ECON213 PSYC10004 Control Data 100/200A PHIL2617 PHYS3116 MIE250 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