The Fourier transformation - 2023-07-23

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PyDataVE #12 How to use the Fourier transformation to divide the signals https://www.meetup.com/pydata-venice/events/294621445/

Data & Analytics

The Fourier Transformation
@PyDataVenice #12 #Meetup #PyData

Alessandra Bilardi
Data & Automation Specialist
● AWS User Group Venezia member
● Coderdojo member
● PyData Venezia member
alessandra.bilardi@gmail.com
@abilardi
bilardi

Agenda
Goal
Challenge
Solutions
Results
Applications

Goal
https://commons.wikimedia.org/wiki/File:Sin.svg

Custom algorithm
Goal:
count periods
Challenge:
signal decomposition

Custom algorithm
Goal:
count periods
Challenge:
signal decomposition
● input
○ signal composition
● output
○ periods for each signal

The Fourier
transformation
Goal:
count periods
Challenge:
signal decomposition

The Fourier
transformation
Goal:
count periods
Challenge:
signal decomposition
● input
○ signal composition
● output
○ frequency
○ each signal

Results
● input
○ signal composition
● output
○ frequency
○ each signal

Machine Learning
Goal:
count periods
Challenge:
signal decomposition

Machine Learning
Goal:
count periods
Challenge:
signal decomposition
● training data
○ signal composition
○ blank for each signal
● inference data
○ signal composition
○ each signal

Results
● training data
○ signal composition
○ blank for each signal
● inference data
○ signal composition
○ each signal

Results
ECG 1
● training data
○ signal composition
○ blank for each signal
● inference data
○ signal composition
○ each signal

Results
ECG 1 ECG 2
● training data
○ signal composition
○ blank for each signal
● inference data
○ signal composition
○ each signal

The Fourier
transformation
Goal:
signal cleaning
Pay attention:
signal reduction

The Fourier
transformation
Goal:
signal cleaning
Pay attention:
signal reduction
● input
○ signal composition
● output
○ frequency
○ signal
○ noice

Applications
ECG, compression, pattern, audio, vibration

Applications
● biomedical signal analysis
ECG, compression, pattern, audio, vibration

Applications
● biomedical signal analysis
● data compression
ECG, compression, pattern, audio, vibration

Applications
● biomedical signal analysis
● data compression
● pattern recognition
ECG, compression, pattern, audio, vibration

Applications
● biomedical signal analysis
● data compression
● pattern recognition
● audio processing
ECG, compression, pattern, audio, vibration

Applications
● biomedical signal analysis
● data compression
● pattern recognition
● audio processing
● vibration analysis
ECG, compression, pattern, audio, vibration

Thanks for listening.
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FP Growth Algorithm and its Applications

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【社内勉強会資料_Octo: An Open-Source Generalist Robot Policy】

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一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单

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一比一原版(CBU毕业证)卡普顿大学毕业证如何办理

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一比一原版(CU毕业证)卡尔顿大学毕业证成绩单

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CU毕业证【微信95270640】（卡尔顿大学毕业证成绩单本科学历）Q微信95270640(补办CU学位文凭证书)卡尔顿大学留信网学历认证怎么办理卡尔顿大学毕业证成绩单精仿本科学位证书硕士文凭证书认证Seneca College diplomaoffer,Transcript办理硕士学位证书造假卡尔顿大学假文凭学位证书制作CU本科毕业证书硕士学位证书精仿卡尔顿大学学历认证成绩单修改制作，办理真实认证、留信认证、使馆公证、购买成绩单，购买假文凭，购买假学位证，制造假国外大学文凭、毕业公证、毕业证明书、录取通知书、Offer、在读证明、雅思托福成绩单、假文凭、假毕业证、请假条、国际驾照、网上存档可查！如果您是以下情况，我们都能竭诚为您解决实际问题：【公司采用定金+余款的付款流程，以最大化保障您的利益，让您放心无忧】 1、在校期间，因各种原因未能顺利毕业，拿不到官方毕业证+微信95270640 2、面对父母的压力，希望尽快拿到卡尔顿大学卡尔顿大学毕业证文凭证书； 3、不清楚流程以及材料该如何准备卡尔顿大学卡尔顿大学毕业证文凭证书； 4、回国时间很长，忘记办理； 5、回国马上就要找工作，办给用人单位看； 6、企事业单位必须要求办理的；面向美国乔治城大学毕业留学生提供以下服务: 【★卡尔顿大学卡尔顿大学毕业证文凭证书毕业证、成绩单等全套材料，从防伪到印刷，从水印到钢印烫金，与学校100%相同】【★真实使馆认证（留学人员回国证明），使馆存档可通过大使馆查询确认】【★真实教育部认证，教育部存档，教育部留服网站可查】【★真实留信认证，留信网入库存档，可查卡尔顿大学卡尔顿大学毕业证文凭证书】我们从事工作十余年的有着丰富经验的业务顾问，熟悉海外各国大学的学制及教育体系，并且以挂科生解决毕业材料不全问题为基础，为客户量身定制1对1方案，未能毕业的回国留学生成功搭建回国顺利发展所需的桥梁。我们一直努力以高品质的教育为起点，以诚信、专业、高效、创新作为一切的行动宗旨，始终把“诚信为主、质量为本、客户第一”作为我们全部工作的出发点和归宿点。同时为海内外留学生提供大学毕业证购买、补办成绩单及各类分数修改等服务；归国认证方面，提供《留信网入库》申请、《国外学历学位认证》申请以及真实学籍办理等服务，帮助众多莘莘学子实现了一个又一个梦想。专业服务，请勿犹豫联系我如果您真实毕业回国，对于学历认证无从下手，请联系我，我们免费帮您递交诚招代理：本公司诚聘当地代理人员，如果你有业余时间，或者你有同学朋友需要，有兴趣就请联系我你赢我赢，共创双赢你做代理，可以帮助卡尔顿大学同学朋友你做代理，可以拯救卡尔顿大学失足青年你做代理，可以挽救卡尔顿大学一个个人才你做代理，你将是别人人生卡尔顿大学的转折点你做代理，可以改变自己，改变他人，给他人和自己一个机会他交友与城里人交友但他俩就好像是两个世界里的人根本拢不到一块儿不知不觉山娃倒跟周围出租屋里的几个小伙伴成了好朋友因为他们也是从乡下进城过暑假的小学生快乐的日子总是过得飞快山娃尚未完全认清那几位小朋友时他们却一个接一个地回家了山娃这时才恍然发现二个月的暑假已转到了尽头他的城市生活也将划上一个不很圆满的句号了值得庆幸的是山娃早记下了他们的学校和联系方式说也奇怪在山娃离城的头一天父亲居然请假陪山娃耍了活

Machine learning and optimization techniques for electrical drives.pptx

balafet

1.Seydhcuxhxyxhccuuxuxyxyxmisolids 2019.pptx

Tiktokethiodaily

standardisation of garbhpala offhgfffghh

ArpitMalhotra16

The affect of service quality and online reviews on customer loyalty in the E...

jerlynmaetalle

一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单

vcaxypu

ArtEZ毕业证【微信95270640】☀《ArtEZ艺术学院毕业证购买》Q微信95270640《ArtEZ毕业证模板办理》文凭、本科、硕士、研究生学历都可以做,《文凭ArtEZ毕业证书原版制作ArtEZ成绩单》《仿制ArtEZ毕业证成绩单ArtEZ艺术学院学位证书pdf电子图》毕业证 [留学文凭学历认证(留信认证使馆认证)ArtEZ艺术学院毕业证成绩单毕业证证书大学Offer请假条成绩单语言证书国际回国人员证明高仿教育部认证申请学校等一切高仿或者真实可查认证服务。多年留学服务公司,拥有海外样板无数能完美1:1还原海外各国大学degreeDiplomaTranscripts等毕业材料。海外大学毕业材料都有哪些工艺呢？工艺难度主要由：烫金.钢印.底纹.水印.防伪光标.热敏防伪等等组成。而且我们每天都在更新海外文凭的样板以求所有同学都能享受到完美的品质服务。国外毕业证学位证成绩单办理方法： 1客户提供办理ArtEZ艺术学院ArtEZ艺术学院毕业证假文凭信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）； 2开始安排制作毕业证成绩单电子图； 3毕业证成绩单电子版做好以后发送给您确认； 4毕业证成绩单电子版您确认信息无误之后安排制作成品； 5成品做好拍照或者视频给您确认； 6快递给客户（国内顺丰国外DHLUPS等快读邮寄） — — — — 我们是挂科和未毕业同学们的福音我们是实体公司精益求精的工艺！ — — — - 一真实留信认证的作用(私企外企荣誉的见证): 1：该专业认证可证明留学生真实留学身份同时对留学生所学专业等级给予评定。 2：国家专业人才认证中心颁发入库证书这个入网证书并且可以归档到地方。 3：凡是获得留信网入网的信息将会逐步更新到个人身份内将在公安部网内查询个人身份证信息后同步读取人才网入库信息。 4：个人职称评审加20分个人信誉贷款加10分。 5：在国家人才网主办的全国网络招聘大会中纳入资料供国家500强等高端企业选择人才。却怎么也笑不出来山娃很迷惑父亲的家除了一扇小铁门连窗户也没有墓穴一般阴森森有些骇人父亲的城也便成了山娃的城父亲的家也便成了山娃的家父亲让山娃呆在屋里做作业看电视最多只能在门口透透气不能跟陌生人搭腔更不能乱跑一怕迷路二怕拐子拐人山娃很惊惧去年村里的田鸡就因为跟父亲进城一不小心被人拐跑了至今不见踪影害得田鸡娘天天哭得死去活来疯了一般那情那景无不令人摧肝裂肺山娃很听话天天呆在小屋里除了看书写作业就是睡带

Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...

Subhajit Sahu

Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.

Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...

Subhajit Sahu

Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.

一比一原版(TWU毕业证)西三一大学毕业证成绩单

ocavb

TWU毕业证【微信95270640】西三一大学没毕业>办理西三一大学毕业证成绩单【微信TWU】TWU毕业证成绩单TWU学历证书TWU文凭《TWU毕业套号文凭网认证西三一大学毕业证成绩单》《哪里买西三一大学毕业证文凭TWU成绩学校快递邮寄信封》《开版西三一大学文凭》TWU留信认证本科硕士学历认证 [留学文凭学历认证(留信认证使馆认证)西三一大学毕业证成绩单毕业证证书大学Offer请假条成绩单语言证书国际回国人员证明高仿教育部认证申请学校等一切高仿或者真实可查认证服务。多年留学服务公司,拥有海外样板无数能完美1:1还原海外各国大学degreeDiplomaTranscripts等毕业材料。海外大学毕业材料都有哪些工艺呢？工艺难度主要由：烫金.钢印.底纹.水印.防伪光标.热敏防伪等等组成。而且我们每天都在更新海外文凭的样板以求所有同学都能享受到完美的品质服务。国外毕业证学位证成绩单办理方法： 1客户提供办理西三一大学西三一大学本科学位证成绩单信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）； 2开始安排制作毕业证成绩单电子图； 3毕业证成绩单电子版做好以后发送给您确认； 4毕业证成绩单电子版您确认信息无误之后安排制作成品； 5成品做好拍照或者视频给您确认； 6快递给客户（国内顺丰国外DHLUPS等快读邮寄） — — — — 我们是挂科和未毕业同学们的福音我们是实体公司精益求精的工艺！ — — — - 一真实留信认证的作用(私企外企荣誉的见证): 1：该专业认证可证明留学生真实留学身份同时对留学生所学专业等级给予评定。 2：国家专业人才认证中心颁发入库证书这个入网证书并且可以归档到地方。 3：凡是获得留信网入网的信息将会逐步更新到个人身份内将在公安部网内查询个人身份证信息后同步读取人才网入库信息。 4：个人职称评审加20分个人信誉贷款加10分。 5：在国家人才网主办的全国网络招聘大会中纳入资料供国家500强等高端企业选择人才。广州火车东站的那一刻山娃感受到了一种从未有过的激动和震撼太美了可爱的广州父亲的城山娃惊喜得几乎叫出声来山娃觉得父亲太伟大了居然能单匹马地跑到这么远这么大这么美的地方赚大钱高楼大厦鳞次栉比大街小巷人潮涌动山娃一路张望一路惊叹他发现城里的桥居然层层叠叠扭来扭去桥下没水却有着水一般的车水马龙山娃惊诧于城里的公交车那么大那么美不用买票乖乖地掷下二枚硬币空调享受还能坐着看电视呢屡经辗转山娃终于跟着父亲到拉

Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...

pchutichetpong

M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years. Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success. MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies. According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”

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Machine learning and optimization techniques for electrical drives.pptx

1.Seydhcuxhxyxhccuuxuxyxyxmisolids 2019.pptx

standardisation of garbhpala offhgfffghh

The affect of service quality and online reviews on customer loyalty in the E...

一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单

Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...

Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...

一比一原版(TWU毕业证)西三一大学毕业证成绩单

Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...

The Fourier transformation - 2023-07-23

1. The Fourier Transformation @PyDataVenice #12 #Meetup #PyData

2. Alessandra Bilardi Data & Automation Specialist ● AWS User Group Venezia member ● Coderdojo member ● PyData Venezia member alessandra.bilardi@gmail.com @abilardi bilardi

3. Alessandra Bilardi Data & Automation Specialist ● AWS User Group Venezia member ● Coderdojo member ● PyData Venezia member alessandra.bilardi@gmail.com @abilardi bilardi

4. Alessandra Bilardi Data & Automation Specialist ● AWS User Group Venezia member ● Coderdojo member ● PyData Venezia member alessandra.bilardi@gmail.com @abilardi bilardi

5. Alessandra Bilardi Data & Automation Specialist ● AWS User Group Venezia member ● Coderdojo member ● PyData Venezia member alessandra.bilardi@gmail.com @abilardi bilardi

6. Alessandra Bilardi Data & Automation Specialist ● AWS User Group Venezia member ● Coderdojo member ● PyData Venezia member alessandra.bilardi@gmail.com @abilardi bilardi

7. Agenda Goal Challenge Solutions Results Applications

8. Goal

9. Goal https://commons.wikimedia.org/wiki/File:Sin.svg

10. Goal https://commons.wikimedia.org/wiki/File:Sin.svg

11. Goal https://commons.wikimedia.org/wiki/File:Sin.svg

12. Challenge

13. Challenge

14. Challenge

15. Challenge

16. Challenge

17. Challenge

18. Challenge

19. Challenge

20. Data simulation code

21. Solutions

22. Custom algorithm Goal: count periods Challenge: signal decomposition

23. Custom algorithm Goal: count periods Challenge: signal decomposition ● input ○ signal composition ● output ○ periods for each signal

24. The Fourier transformation Goal: count periods Challenge: signal decomposition

25. The Fourier transformation Goal: count periods Challenge: signal decomposition ● input ○ signal composition ● output ○ frequency ○ each signal

26. Signal decomposition code

27. Results ● input ○ signal composition ● output ○ frequency ○ each signal

28. Results ● input ○ signal composition ● output ○ frequency ○ each signal

29. Results ● input ○ signal composition ● output ○ frequency ○ each signal

30. Results ● input ○ signal composition ● output ○ frequency ○ each signal

31. Machine Learning Goal: count periods Challenge: signal decomposition

32. Machine Learning Goal: count periods Challenge: signal decomposition ● training data ○ signal composition ○ blank for each signal ● inference data ○ signal composition ○ each signal

33. Signal decomposition code

34. Results ● training data ○ signal composition ○ blank for each signal ● inference data ○ signal composition ○ each signal

35. Results ECG 1 ● training data ○ signal composition ○ blank for each signal ● inference data ○ signal composition ○ each signal

36. Results ECG 1 ECG 2 ● training data ○ signal composition ○ blank for each signal ● inference data ○ signal composition ○ each signal

37. The Fourier transformation Goal: signal cleaning Pay attention: signal reduction

38. The Fourier transformation Goal: signal cleaning Pay attention: signal reduction ● input ○ signal composition ● output ○ frequency ○ signal ○ noice

39. Applications ECG, compression, pattern, audio, vibration

40. Applications ● biomedical signal analysis ECG, compression, pattern, audio, vibration

41. Applications ● biomedical signal analysis ● data compression ECG, compression, pattern, audio, vibration

42. Applications ● biomedical signal analysis ● data compression ● pattern recognition ECG, compression, pattern, audio, vibration

43. Applications ● biomedical signal analysis ● data compression ● pattern recognition ● audio processing ECG, compression, pattern, audio, vibration

44. Applications ● biomedical signal analysis ● data compression ● pattern recognition ● audio processing ● vibration analysis ECG, compression, pattern, audio, vibration

45. Thanks for listening. @PyDataVenice #12 #Meetup #PyData

The Fourier transformation - 2023-07-23

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