|
|');
>> title('Magnitude Response of h(n)=(0.9)^{|n|}');
>> subplot(2,1,2); plot(w/pi,phaH);
>> xlabel('w/pi'); ylabel('Degrees');
>> title('Phase Response of h(n)=(0.9)^{|n|}');
3.11 (3)
>> [h1,n1]=stepseq(0,0,40);
>> [h2,n2]=stepseq(40,0,40);
>> [h3,n3]=si
|
|
|
_7(n)');
>> title('Sequence x_7(n)');
2.3 (1)
>> n1=[-12:12]; x1=[-2,-1,0,1,2];
>> x1=x1'*ones(1,5);
>> x1=(x1(:))';
>> Hs=stem(n1,x1);
>> xlabel('n'); ylabel('x_1(n)');
>> title('Sequence x_1(n)');
2.3 (3)
>> n3=[0:11]; x3=sin(0.1*pi*n3).*(stepseq(0,0
|
|
|
1. 서론
1) A/D conversion 의 의미와 단계별 과정
2) Mathematical model for an A/D, D/A converter
2. 본론
1) Sampling
2) Quantization
3) Encoding
3. 실습 - Matlab
1) Voice Signal 의 Recoding, Writing, plotting
2) Voice Signal 의 Quantization bits 변환 (1~16bits)
3) 각 nbits 양자
|
|
|
1. Problem P2.1:
(a) x1 (n) = å10
m=0 (m+1)[d(n2m1)d(n2m)] ; 0 n 25.
clear; close all;
Hf_1 = figure(’Units’,’normalized’,’position’,[0.1,0.1,0.8,0.8],’color’,[0,0,0]);
set(Hf_1,’NumberTitle’,’off’,’Name’,’P2.1ac’);
%
% x1(n) = sum_
|
|
|
Signal Processing, P.Z. Peebles Jr.,
McGraw-Hill, 4th ed, 2001.
- MATLAB 객체 지향 프로그래밍 언어, 박전수 역, 아진, 2008. 1. Simulate the experiment of a coin toss with P(head) = p as follows:
2. Plot the following PMF of the binomial random variable X using MATLAB:
3. The De Moivre-Lapl
|
|
|
(b) MATLAB CODE
Plot the Problem 2. (b) : Plot the PDF with normal(Gaussian) Distribution N(10,25)
< 참고문헌 >
- Probability, Random Variables and Random Signal Processing, P.Z. Peebles Jr.,
McGraw-Hill, 4th ed, 2001.
- MATLAB 객체 지향 프로그래밍 언어, 박전수 역, 아진, 2008. 없음
|
|
|
Using the adaptive modulation, the system gets the high performance in the throughput aspect when the channel performance is not critical to the design threshold. Nonuniform MPSK is more powerful throughput performance than uniform MPSK system. The Digital Signal Processing technologies using adapti
|
|
|
still image compression standards (JPEG, JPEG2000) and summary their characteristics.
①JPEG
②JPEG2000
2. Investigate the video compression techniques and describe the difference between the still image compression and video compression.
3. Investigate the quantization process in signal proce
|
|
|
신호처리는 아날로그 신호를 다루는 통신분야와 디지털 신호를 다루는 DSP(digital signal processing) 분야로 나뉜다. 이 책에서는 아날로그 신호에 대한 전반적인 내용을 요약해서 1장에서 설명하고 2장에서는 아날로그 신호를 샘플하는 방법, 3장
|
|
|
|
위해 Matlab 7.10.0 (R2010a) Ver를 사용하였습니다. - Encoding
: YUV
: Intra Prediction
: Inter Prediction
: DCT
: Quantization
: Rounding
: Zigzag scan
: Entropy Coding
- Decoding
: Entropy Coding
: Inverse zigzag scan
: De-Quantization, Inverse DCT
: Motion Compensation
|
|
메뉴펼치기
