2016年1月27日 星期三

Dsp2016


期末報告專區:

Python DSP 頻譜分析的聖杯。


Friture


http://friture.org/


1. 下載安裝執行檔

2. 玩一玩
3. 下載 原始碼
4. 設法重建
5. 修改、學習。


很多例子,但要重跑還有些 Bug ,主要是新舊版本 Python 模組 不完全相容之故。
some programs for 期末專題

ry0604


也可試一下 以下路徑之 pygame 範例。

D:\Anaconda3\Lib\site-packages\pygame\examples

訊號系統 2016  程式作業  截止日期  2016/06/27


作業繳交專頁:  http://ryteach.blogspot.tw/2016/06/2016.html



in this course, we will follow the following textbook: Textbook: Think DSP.  

in Class, we will discuss the following htmlVersion
sourceCode (all)

Here is a special presentation in .ipynb format,
which can be further wonderfully experimented,
if you have installed IPython (now it is Jupyter)

chap01.ipynb


chap02.ipynb




https://sites.google.com/site/sigsys15/

BookAuthor: Allen Downey

Instructor:  Renyuan Lyu

Syllabus https://goo.gl/NsngSd

Textbook (v.1.0.2)
https://www.dropbox.com/s/h3xeb4et4hx3rnv/thinkdsp_v1.0.2.pdf?dl=0

RefBook for the Python language
https://goo.gl/UXx1nr

Class 01: 2016/02/23/
====
there are 3 DSP projects I have done in "Scratch", 
2 in music signal, 
1 in speech signal.

01. https://scratch.mit.edu/projects/97667347/

02. https://scratch.mit.edu/projects/97862625/

03. https://scratch.mit.edu/projects/97872106/

we will read the Preface and the Contents in "thinkDsp" in class together.
please download the text book (for free) and print it out,
you must take the text book to the class each time.

http://greenteapress.com/thinkdsp/html/thinkdsp001.html


Chapter 0  Preface

Signal processing is one of my favorite topics.
It is useful in many areas of science and engineering,
and if you understand the fundamental ideas,
it provides insight into many things we see in the world,
and especially the things we hear.
....



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