[연세대학교 확률과랜덤변수] 전기전자공학부 전공선택 교과목 확률과랜덤변수 프로젝트 최종 보고서 (전체 MATLAB 코드 및 설명 포함)

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연세대학교 전기전자공학부 확률과랜덤변수 강의의 학기말 프로젝트 보고서입니다.

100점 만점에 99점을 받았고, 이는 전체 조들 가운데 2등에 해당하는 성적입니다.

보고서 내에 문항별 MATLAB 코드와 해설이 모두 포함되어 있습니다.

감사합니다.

목차

① Introduction
② Problems and Solutions
③ Discussion
④ Conclusion

본문내용

① Introduction

The first question is to learn how the theorems of random variables and PDFs are applied to the real life, especially a Laplacian PDF to measure the speech power.
The second question is about quantizing the signal. We will use several type of quantizer. To calculate boundary point and probabilities, we will use conditional pdf that we had learned Lecture 7.
The third question is about random variable estimation. First, we train the program to acknowledge which one is spam mail and test it, which we call Naive Bayes classifier. We apply MAP theorem which is in Lecture 10.
The fourth question is about using Monte Carlo integration, it is useful when the integration is hard to calculate analytically. We had learned it in Lecture 9, 10.

② Problems and Solutions

※ Question 1 : Practical Engineering Problems

A. Setting Clipping Levels for Speech Signals
To determine the highest amplitude of the speech signal that can be expected to occur a common model is to use a Laplacian PDF for the amplitudes [1].

참고 자료

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