ECS154A SSII24 Project 1Matlab

Java Python ECS154A SSII24

August 8, 2024

Project 1

Due August 16, 2024 at 9:00 PM

This project description is subject to change at anytime for clarification. For this project you will be working alone.

Desired Outcomes

•   Exposure to using circuit simulator (Logisim Evolution)

•   Exposure to gray codes

•   Exposure to seven segment displays

•   An understanding of how to develop simple combinatorial logic circuits

Project Description

You will be using a digital logic simulator called Logisim Evolution available at https://github.com/logisim-evolution/logisim-evolution/releases for this project. For this project you can only use components under the Wiring and Gates sections. You will be given a starter circuit that provides a testing main circuit.   Submit a README.md with your circuit file compressed together in a tgz (tar gzip) file. Your README file must have your name, SID number, a brief description of what circuits work/don’t work, and a list of sources you used for designing of your circuit (you do not need to list the book or lecture notes it is assumed these have been used). Any allowed use of Generative AI must be properly documented.

1.   Use Logisim Evolution to design a circuit to do a three-bit unsigned comparison of two values.  Use X2, X1, X0 and Y2, Y1, Y0 as inputs.  Outputs should be E and N.  E is true if X = Y and N is true if X < Y. Use the following naming convention:

Inputs:   X2 X1 X0

Y2 Y1 Y0

Outputs:      E  N

Circuit: Compare

2.   Use Logisim Evolution to design a circuit to convert a 4-bit binary value into a 4-bit Gray code. In a Gray code successive values differ in only one bit. Your Gray code will be based upon the last digit of you SID. Use the following naming convention:

Inputs:   B3 B2 B1 B0

Output:   G3 G2 G1 G0

Circuit: Gray

3.   Use Logisim Evolution to design a circuit to convert a five-segment counting rod like encoding to a seven-segment display output. The counting rod numbering looks as follows:

Make sure to get all correct encodings of vertical and horizontal lines to the seven-segment display. For example V W X as true and W X Y as true are both valid encodings for 3, as are V W Y and V X Y.

Figure 1. Five Segment Display

Figure 2. Seven Segment Display

Inputs:   V W X Y Z

Output:   A B C D E F G

Circuit: FiveSeven

You can unzip the given tgz file with utilities on your local machine, or if you upload the file to the CSIF, you can unzip it with the command:

tar -xzvf proj1given.tgz

You must submit the circuit file, README.md file, and.git directory in a tgz archive. You can tar gzip a directory with the command:

tar -zcvf archive-name.tgz directory-name

You should avoid using existing circuits as a primer that are currently available on the Internet. You MUST specify in your README.md file any sources of circuits that you have viewed to help you complete this project. You MUST properly document ALL uses of Generative&n ECS154A SSII24 Project 1Matlab bsp;AI following the guidelines outlined in the Generative AI Restrictions. All class projects will be submitted to MOSS like software to determine if students have excessively collaborated. Excessive collaboration, or failure to list external code sources will result in the matter being referred to Student Judicial Affairs.

Grading

The point breakdown can be seen in the table below. Make sure your circuit executes correctly in Logisim Evolution 3.8.0 as that is where it is expected to execute. You will make an interactive grading appointment to have your assignment graded. You must have a working webcam for the interactive grading appointment. Project submissions received 24hr prior to the due date/time will received 10% extra credit. The extra credit bonus will drop offata rate of 0.5% per hour after that, with no additional credit being received for submissions within 4hr of the due date/time.

Points

Description

10

Has git repository with appropriate number of commits

10

Has README.md with proper documentation

15

Comparison circuit correctly outputs E on inputs

15

Comparison circuit correctly outputs N on inputs

20

Gray code circuit correctly encodes values according to SID

20

Five segment encoding correctly outputs seven segment values

10*

Student understands all circuits they have provided

*          Students  who  are  unable  to  demonstrate  understanding  of their  circuit  could  receive

negative points and resulting in score as low as zero overall regardless of functioning of circuit submitted         

通过短时倒谱(Cepstrogram)计算进行时-倒频分析研究(Matlab代码实现)内容概要:本文主要介绍了一项关于短时倒谱(Cepstrogram)计算在时-倒频分析中的研究,并提供了相应的Matlab代码实现。通过短时倒谱分析方法,能够有效提取信号在时间与倒频率域的特征,适用于语音、机械振动、生物医学等领域的信号处理与故障诊断。文中阐述了倒谱分析的基本原理、短时倒谱的计算流程及其在实际工程中的应用价值,展示了如何利用Matlab进行时-倒频图的可视化与分析,帮助研究人员深入理解非平稳信号的周期性成分与谐波结构。; 适合人群:具备一定信号处理基础,熟悉Matlab编程,从事电子信息、机械工程、生物医学或通信等相关领域科研工作的研究生、工程师及科研人员。; 使用场景及目标:①掌握倒谱分析与短时倒谱的基本理论及其与傅里叶变换的关系;②学习如何用Matlab实现Cepstrogram并应用于实际信号的周期性特征提取与故障诊断;③为语音识别、机械设备状态监测、振动信号分析等研究提供技术支持与方法参考; 阅读建议:建议读者结合提供的Matlab代码进行实践操作,先理解倒谱的基本概念再逐步实现短时倒谱分析,注意参数设置如窗长、重叠率等对结果的影响,同时可将该方法与其他时频分析方法(如STFT、小波变换)进行对比,以提升对信号特征的理解能力。
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