View allAll Photos Tagged Matlab

Photographed by Alison Steele, UT Austin School of Architecture Visual Resources Collection TA

www.atelierpopulaire.org/

 

Same photo as

www.flickr.com/photos/thomasfournier/243248064

but reprocessed by some homemade effects that I tried to implement with Matlab and that works surprinsingly good. If you're interested in these effects (it basically increases the contrast), please contact me...

"University of Texas at Austin"

"University of Texas School of Architecture"

"UT Austin"

"UTSOA"

"Additive Manufacturing"

"Matlab"

"Materials Lab"

"Student works"

"Spring 2014"

"University of Texas at Austin"

"University of Texas School of Architecture"

"UT Austin"

"UTSOA"

"Additive Manufacturing"

"Matlab"

"Materials Lab"

"Student works"

"Spring 2014"

London Voronoi partitioned by postcode, colored by the relative sizes of the polygons. Parks and rivers can be seen by the lower density of postcodes.

Curated by Kuth/Ranieri (Byron Kuth, Elizabeth Ranieri, Juta Cinco, Eliza Koshland) and UTSOA (Sydney Mainster, Charlton Lewis, Travis Cook, Jen Wong, Rachel Bullock, Dan Zou, Lana Denkeler, Mehreen Charania, Eric Lam, James Spence).

 

Photographed by Selina Ortiz, School of Architecture Visual Resources Collection Photography TA

"University of Texas at Austin"

"University of Texas School of Architecture"

"UT Austin"

"UTSOA"

"Additive Manufacturing"

"Matlab"

"Materials Lab"

"Student works"

"Spring 2014"

I call my newest invention "The Smile-O-Tron 5k".

 

And here is what you do: Train you system (eigenfaces) on smiling people, then take an image with serious faces, find them, project them into face space and back, and tadaa: They are smiling! Happy days!

 

Below you can see the reconstruction error near the actual faces.

"University of Texas at Austin"

"University of Texas School of Architecture"

"UT Austin"

"UTSOA"

"Additive Manufacturing"

"Matlab"

"Materials Lab"

"Student works"

"Spring 2014"

Photographed by Alison Steele, UT Austin School of Architecture Visual Resources Collection TA

Mit dieser Funktion wird häufig für die Leistungsfähigkeit von MatLab geworben. Das jedem Macintosh beiliegende, kostenlose Visualisierungstool Grapher kann sie — wie man sieht — aber auch sehr nett darstellen.

"University of Texas at Austin"

"University of Texas School of Architecture"

"UT Austin"

"UTSOA"

"Additive Manufacturing"

"Matlab"

"Materials Lab"

"Student works"

"Spring 2014"

Photographed by Alison Steele, UT Austin School of Architecture Visual Resources Collection TA

INGLE, Vinay K.; PROAKIS, John G.. Digital signal processing using MATLAB: international student edition. 2 ed. Toronto: Thomson Learning, 2007. xv, 605 p. (BookWare Companion Series; PWS BookWare companion series (Thomson)). Inclui bibliografia e índice; il. tab. quad.; 24cm. ISBN 0495244414.

 

Disponível em:

instructors.coursesmart.com/9780495073116. Acesso em: 5 maio 2011.

 

Resumo:

This supplement to any standard DSP text is one of the first books to successfully integrate the use of MATLAB® in the study of DSP concepts. In this book, MATLAB® is used as a computing tool to explore traditional DSP topics, and solve problems to gain insight. This greatly expands the range and complexity of problems that students can effectively study in the course. Since DSP applications are primarily algorithms implemented on a DSP processor or software, a fair amount of programming is required. Using interactive software such as MATLAB® makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. Interesting practical examples are discussed and useful problems are explored. This updated second edition includes new homework problems and revises the scripts in the book, available functions, and m-files to MATLAB® V7.

 

Notas de conteúdo:

1. Introduction

2. Discrete-Time Signals and Systems

3. The Discrete-Time Fourier Analysis

4. The z-Transform

5. The Discrete Fourier Transform

6. Digital Filter Structures

7. FIR Filter Design

8. IIR Filter Design

9. Applications in Adaptive Filtering

10. Applications in Communications

 

Palavras-chave:

TEMPO DE SINAIS E SISTEMAS; ANALISE DE FOURIER; TRANSFORMADA Z-; TRANSFORMADA DE FOURIER; ESTRUTURAS DE FILTROS DIGITAIS; FILTROS FIR; FILTROS IIR; PROCESSAMENTO DE SINAIS DIGITAIS.

 

CDU 621.391:519.6 / I51d / 2 ed. / 2007

Photographed by Alison Steele, UT Austin School of Architecture Visual Resources Collection TA

A man bathes in a river next to a small houseboat in rural Matlab, Bangladesh. This water is contaminated by faeces from the human and animal populations living on the banks of the river.

Scherk's surface is defined by exp(z)cos(x)-cos(y)=0. If z is treated as a complex number rather than a real and multiplied by exp(it) the solution to Re(exp(z)cos(x)-cos(y))=0 performs this curious dance act. The color denotes the imaginary part.

 

This set works nicely as a slideshow.

 

Rendered in Matlab using isosurfaces.

"University of Texas at Austin"

"University of Texas School of Architecture"

"UT Austin"

"UTSOA"

"Additive Manufacturing"

"Matlab"

"Materials Lab"

"Student works"

"Spring 2014"

Norwegian Ambassador HE Ms Sidsel Bleken and Norwegian Institute of Public Health officials visited Matlab Health Research Centre to learn more about Hepatitis E Vaccine HEV study led by icddr,b senior scientist Dr K Zaman, and different maternal and child health services and Matlab hospital. The visitors also went to the field to see how community health research workers are engaged in routine HDSS data collection in the villages. Photos: Rabiul Hasan

Photographed by Alison Steele, UT Austin School of Architecture Visual Resources Collection TA

"University of Texas at Austin"

"University of Texas School of Architecture"

"UT Austin"

"UTSOA"

"Additive Manufacturing"

"Matlab"

"Materials Lab"

"Student works"

"Spring 2014"

Built with INKSCAPE,MATLAB & GIMP

Inspired from mathematical typography by Tiemen Rapati

"University of Texas at Austin"

"University of Texas School of Architecture"

"UT Austin"

"UTSOA"

"Additive Manufacturing"

"Matlab"

"Materials Lab"

"Student works"

"Spring 2014"

"University of Texas at Austin"

"University of Texas School of Architecture"

"UT Austin"

"UTSOA"

"Additive Manufacturing"

"Matlab"

"Materials Lab"

"Student works"

"Spring 2014"

Photographed by Alison Steele, UT Austin School of Architecture Visual Resources Collection TA

Photographed by Alison Steele, UT Austin School of Architecture Visual Resources Collection TA

"University of Texas at Austin"

"University of Texas School of Architecture"

"UT Austin"

"UTSOA"

"Additive Manufacturing"

"Matlab"

"Materials Lab"

"Student works"

"Spring 2014"

"University of Texas at Austin"

"University of Texas School of Architecture"

"UT Austin"

"UTSOA"

"Additive Manufacturing"

"Matlab"

"Materials Lab"

"Student works"

"Spring 2014"

Photographed by Alison Steele, UT Austin School of Architecture Visual Resources Collection TA

پروژه تشخیص چهره با استفاده از الگوریتم KPCA با MATLAB

در این پست پروژه تشخیص چهره با استفاده از الگوریتم KPCA با متلب را آماده کرده ایم که الگوریتم مورد استفاده در آن (KPCA) یک الگوریتم جدید و پیشرفته در زمینه پردازش تصویر می باشد. در ادامه می تونید فیلم و تصاویر از خروجی این پروژه پردازش تصویر...

 

www.noavarangermi.ir/%d8%aa%d8%b4%d8%ae%db%8c%d8%b5-%da%8...

Country boats transport people across the Meghna-Dhonagoda River.

 

Photo credit: Rob Hope/REACH

 

www.reachwater.org.uk

 

If you use one of our photos, please credit it accordingly and let us know. You can reach us via Flickr or at reach@water.ox.ac.uk

Not the true Saturn.Saturn texture applied to sphere.Rings are generated in MATLAB and rendered in SunFlow.

matlab-recognition-code.com/iris-identification-using-2d-...

Abstract

Identification of people by way of biometric applied sciences is turning into widespread. Different biometric applied sciences like finger, face, voice, iris recognition, and so forth. use totally different behavioral or psychological traits of people for recognition. Early methods used to have password and ID playing cards for verification however it has two main issues of forgotten passwords and stolen ID playing cards. Biometrics offered answer to those issues. Among the all biometrics, iris recognition has achieved highest recognition accuracy. An iris is a coloured space between darkish pupil and brilliant sclera. Iris has distinctive traits like stability of iris patterns all through life time, not surgically modifiable. Its chance of uniqueness amongst all people has made it a dependable and environment friendly human recognition method. It can be utilized in lots of purposes like managed entry, airports, ATM, and so on. Many researchers developed iris recognition methods which are totally different to one another with respect to function extraction.

Iris construction has complicated and plentiful textures which might be extracted as options for iris coding. We current a brand new illustration of iris coding through the use of 2D wavelet. The proposed scheme of function extraction is to make use of the multi-degree coefficients of decomposition elements of picture by way of wavelet. A function vector consists of H-degree decomposition coefficients alongside vertical and horizontal course. From these coefficients a compact binary code is generated.

Keyword: Matlab, supply, code, iris, recognition, identification, wavelet, wavelets, decomposition.

  

 

 

  

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Matlab Upazila, Chandpur District, Bangladesh.

 

Photo credit: Rob Hope/REACH

 

www.reachwater.org.uk

 

If you use one of our photos, please credit it accordingly and let us know. You can reach us via Flickr or at reach@water.ox.ac.uk

Scherk's surface is defined by exp(z)cos(x)-cos(y)=0. If z is treated as a complex number rather than a real and multiplied by exp(it) the solution to Re(exp(z)cos(x)-cos(y))=0 performs this curious dance act. The color denotes the imaginary part.

 

This set works nicely as a slideshow.

 

Rendered in Matlab using isosurfaces.

"University of Texas at Austin"

"University of Texas School of Architecture"

"UT Austin"

"UTSOA"

"Additive Manufacturing"

"Matlab"

"Materials Lab"

"Student works"

"Spring 2014"

"University of Texas at Austin"

"University of Texas School of Architecture"

"UT Austin"

"UTSOA"

"Additive Manufacturing"

"Matlab"

"Materials Lab"

"Student works"

"Spring 2014"

"University of Texas at Austin"

"University of Texas School of Architecture"

"UT Austin"

"UTSOA"

"Additive Manufacturing"

"Matlab"

"Materials Lab"

"Student works"

"Spring 2014"

"University of Texas at Austin"

"University of Texas School of Architecture"

"UT Austin"

"UTSOA"

"Additive Manufacturing"

"Matlab"

"Materials Lab"

"Student works"

"Spring 2014"

Scherk's surface is defined by exp(z)cos(x)-cos(y)=0. If z is treated as a complex number rather than a real and multiplied by exp(it) the solution to Re(exp(z)cos(x)-cos(y))=0 performs this curious dance act. The color denotes the imaginary part.

 

This set works nicely as a slideshow.

 

Rendered in Matlab using isosurfaces.

Photographed by Alison Steele, UT Austin School of Architecture Visual Resources Collection TA

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