代写program、代做Java/c++程序设计

日期：2024-03-01 10:57

Digital Communications and Signal Processing Assignment

2024

Department of Computer science, University of Warwick CV4 7AL, UK

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:

http://www.dcs.warwick.ac.uk/undergraduate/cover.html

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

?[x(m, n) - g(m, n)]2

n=0

where M=40. Describe the behaviour of Eem/M as a function of M.

8. Download a noisy sound file from https://www.dcs.warwick.ac.uk/~feng/dcsp.html. 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.