Search results “Dot product simulink”
Matlab Tutorial - 25 - Calculating the Vector Dot Product and Cross Product
Get more lessons like this at http://www.MathTutorDVD.com Learn how to calculate the dot product between two vectors using matlab. We will also learn how to enter and calculate the vector cross product using matlab.
Views: 164 mathtutordvd
Dot Product Review
This video is a review of the dot product. It includes how to calculate the scalar dot product and the angle between two vectors. Engineer It is a video series created primarily to supplement engineering classes at CSU Chico, but also to expose non-engineers to these same concepts in an understandable way. For more information please visit the official website at www.csuchico.edu/engineerit
Views: 517 EngineerItProgram
Memristor-Based Analog Computation and Neural Network Classification with a Dot Product Engine
Large memristor arrays composed of hafnium oxide are demonstrated with suitability for computing matrix operations at higher power efficiency than digital systems. The nonmemory application of memristors is performed in an analog computing platform. Computational operations with 6-bit equivalent precision are shown and utilized to directly compute neural network inference within a memristor crossbar. This is reported by Miao Hu, Catherine E. Graves, Can Li, Yunning Li, Ning Ge, Eric Montgomery, Noraica Davila, Hao Jiang, R. Stanley Williams, J. Joshua Yang, Qiangfei Xia, and John Paul Strachan in the article https://doi.org/10.1002/adma.201705914. To know more, please go to the Advanced Materials homepage.
Scalar product and Dot product in Matlab | Matlab Tutorials | MATLAB Programming : By Nehal
- NEHAL JAIN ([email protected]) (works at qcfinance.in) Learning Elementary Matlab course – (Personalized 5 hours of Live interactive classes to help you learn basics of MATLAB) We offer one on one live classes with customized topics to help our learners. We provide MATLAB for finance consultancy & also take MATLAB projects. Projects are charged according to hours taken to complete them. http://www.wiziq.com/course/67041-learning-elementary-matlab-one-to-one-classes http://qcfinance.in/learning-elementary-matlab-one-on-one-course/ https://www.udemy.com/course-manage/show-course-url/?courseId=321498 Email ID - [email protected] Skype ID - qcfinancein Our Website - http://qcfinance.in/ Our Blog - http://stockcreditfinancecfa.blogspot.in/ Our Courses- http://www.wiziq.com/course/67041-learning-elementary-matlab-one-to-one-classes https://www.wiziq.com/course/77609-introduction-to-r https://www.wiziq.com/course/7225-matlab-for-financial-engineering http://www.wiziq.com/course/70342-one-on-one-course-on-quant-finance-interviews-preparation http://www.wiziq.com/course/48106-one-on-one-training-to-prepare-for-frm-part-ii-exam http://www.wiziq.com/course/19620-vba-for-financial-engineering-and-modeling http://www.wiziq.com/course/7526-bloomberg-assessment-test-bat-exam-prep http://www.wiziq.com/course/71364-an-introduction-to-technical-analysis
Views: 127 Nehal Jain
Dot Products and Ship vs Wall Collision
If the SIGN of the dot product goes negative, then the angle between two vectors is greater than 90 degrees (PI/2), which means the ship has crossed the wall boundary.
Views: 774 Jamie King
Matlab difference between  RMS AND AVERAGE in sinusoidal waveform
for more electrical and electronics simulation video go to youtube channel - rkk salem web site http://rkksalem.weebly.com/
Views: 1673 karthik kumar
1.Matlab/Simulink-commonly used blocks Constant & Product Blocks
This video shows how to work with constant and product blocks in matlab/simulink software
Views: 642 Nageswar J
DOT and CROSS products | Matlab
Theory of dot and cross products, and it's calculations in Matlab
Views: 20 raidar ali
Simulink Product
Views: 69 TeraSoftTW
How to use Mux, Demux, Gain in Simulink  Matlab
Matlab, Simulink use of Mux, Demux & Gain
Views: 1528 Matlab
Developing Buck-Boost Converter Control: Designing Digital Controller
Learn more about simulating digital control for power electronics: http://bit.ly/2P0GMff Learn how to design a digital PID controller for a buck-boost converter. As the simulation model contains high-frequency switching and thus cannot be linearized, the transfer function is obtained by using system identification on measured input-output data. The transfer function is then used by the PID Tuner app from Simulink Control Design™ to automatically compute PID gains. PID controller design is verified in nonlinear simulation. Get free Buck-Boost Converter Control resources: http://bit.ly/2P0MVbq Download a trial: http://bit.ly/2P77UJK The example starts with a controller that has not been tuned. Simulation of a step response of output voltage shows that the controller does not provide desired response time. To tune the controller, PID Tuner app is used. The example shows how to open the feedback loop and inject a step signal into the plant. The simulation results are then collected and used for system identification to identify a transfer function of the converter at the current operating condition.   Once the transfer function has been obtained, PID Tuner automatically computes PID Controller gains to meet bandwidth and phase margin requirements. The computed gains are used to update the gains of PID Controller block in the Simulink® model. The full nonlinear simulation is used to verify the improved controller performance that meets response time requirements. © 2018 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names maybe trademarks or registered trademarks of their respective holders.
Views: 827 MATLAB
How to find 3D rotation matrix between two coordinate systems matlab?Using PCA?
http://www.mediafire.com/file/ak5lgikam3er5je/PCA.rar/file https://www.mathworks.com/matlabcentral/answers/400250-rotation-matrix-3d-point-data -------------------------------------------------------------------------------------------- clear;clc; load('data.txt');figure(1);scatter3(data(:,1),data(:,2),data(:,3),'.') %% hold on;scatter3(42.706,88.286,70.656,'diamond','r') PCA=pca(data);%use Principal component analysis method e1=PCA(:,1)'; e2=PCA(:,2)' ;e3=PCA(:,3)'; % 3 principal vector(3 eigenvector) of "data" n1=[1 0 0] ; n2=[0 1 0] ; n3=[0 0 1]; % 3 unit vector Ox,Oy,Oz %[PCA,~,lamda] = pca(data);%use this syntax to find eigenvalue of data. lamda is eigenvalue corresponding to 3 eigenvector (e1,e2,e3) % --------Conclusion1: each eigvector(each Principal component)is unit vector(e1,e2,e3) ---------------------% % --------Conclusion2: each eigvector(each Principal component) is always perpendicular to each other--------% % --------It means that "dot product" or "scalar product" of each eigvector is equal to zero-----------------% % --------Using the below syntax to find "scalar product" of 2 vector----------------------------------------% % dot(e1,e2); % dot(e1,e3); % dot(e2,e3); % --------Conclusion3: norm(||..x..||)of each eigvector(e1,e2,e3) is always equal to one-----% % --------Using the below syntax to find "norm" of each eigvector----------------------------% % norm(e1); % norm(e2); % norm(e3); %% transformation matrix from "e" space to "n" space R=[e1;e2;e3]; % rotation matrix. % match with xyz (e1//n1, e2//n2, e3//n3) % R=[e3;e2;e1]; % If e1//n3, e2//n2, e3//n1 %% newdata=(R*data')'; figure(2); n = fitNormal(newdata,1); grid on; % https://jp.mathworks.com/matlabcentral/fileexchange/37775-plane-fitting-and-normal-calculation % create the input data: data = rand(50,3)*100; data(:,3) = data(:,1) * .4 + data(:,2) * .6 + rand(50,1); -------------------------------------GENERAL CASE------------------------------------------ -------------------------------%%%%%%%%%%%%------------------------------------------ %% Load input 3D data clear;clc;filename = 'test.txt'; inputfile = importfile(filename); P = inputfile(:,1:3);%get data=coordinate(x,y,z) from set of data x = P(:,1) ; y = P(:,2) ;z = P(:,3) ; % get (x,y,z) coordinate x0 = x-mean(x) ; y0 = y-mean(y) ; z0 = z-mean(z) ; % remove mean P1 = [x0 y0 z0] ; %this step to bring the coord of P near to the origin. The new coord will be created scatter3(P1(:,1),P1(:,2),P1(:,3),'b.');%plot new coord of P1 HA=[min(P1(:,1)) min(P1(:,2)) max(P1(:,3))+1];%just for better visualaztion hold on;scatter3(HA(:,1),HA(:,2),HA(:,3),'g.');%just for better visualaztion %% Finding principal vector of 3D data P PCA=pca(P); e1=PCA(:,1)'; e2=PCA(:,2)' ;e3=PCA(:,3)'; % 3 principal vector(3 eigenvector) of "input data" n1=[1 0 0] ; n2=[0 1 0] ; n3=[0 0 1]; % 3 unit vector Ox,Oy,Oz %% transformation matrix from "e" space to "n" space R=[e2;e1;e3]; % rotation matrix , match with xyz (e1//n2, e2//n1, e3//n3) % R=[e1;e2;e3]; % rotation matrix , match with xyz (e1//n1, e2//n2, e3//n3) % R=[e3;e2;e1]; % If e1//n3, e2//n2, e3//n1 %% Finding the new rotate data newdata1=(R*P1')';%new data corresponding to P1 coordinate hold on; scatter3(newdata1(:,1),newdata1(:,2),newdata1(:,3),'r.'); newdata=[newdata1(:,1)+mean(x),newdata1(:,2)+mean(y),newdata1(:,3)+mean(z)]; %% Plot the original & rotation 3D data figure;scatter3(P(:,1),P(:,2),P(:,3),'b.'); hold on;scatter3(newdata(:,1),newdata(:,2),newdata(:,3),'r.'); HA=[min(P(:,1)) min(P(:,2)) max(P(:,3))+1];%just for better visualaztion hold on;scatter3(HA(:,1),HA(:,2),HA(:,3),'g.');%just for better visualaztion legend('original data(P)','rotated data(newdata)');title({'Plot the rotation matrix 3D point data';'(FINAL RESULT)'}); -------------------------------------------------------------------------------------- See more detail in below web to understand the formula of covariance: https://www.itl.nist.gov/div898/handbook/pmc/section5/pmc541.htm
Views: 1826 ha
MATLAB Programming Tutorial #17 Basics of Linear Algebra
MATLAB Programming Tutorial #17 Basics of Linear Algebra Complete MATLAB Tutorials @ https://goo.gl/EiPgCF
Views: 1283 Xoviabcs
Vector Dynamics - Coordinate Table
In this video I explain how to use the Dot Product to help change coordinate systems.
Views: 692 TheMrHandyMan
Automatic Tuning of Field-Oriented Controllers for an Induction Motor
Implement and automatically tune a field-oriented control system that controls the flux and torque of a three-phase induction motor. Learn more about Field-Oriented Control: http://bit.ly/2BiB8Q5 Learn more about Motor Control Design: http://bit.ly/2BeNc4U The control system consists of four PI controllers. The rotor speed and flux controllers in the outer loop provide references to the current controllers in the inner loop using the measured rotor speed and three-phase stator current as well as the Clarke and Park transformations. The four PI controllers are tuned using the Closed-Loop PID Autotuner block in a single simulation. This block injects an excitation signal during closed-loop plant operation to estimate the plant frequency response and automatically tune the PID gains. Based on the PID outputs, a PWM Generator module is used to generate the gate control pulses for the semiconductor switches in the machine-side power inverter, such that the desired flux and torque specifications are met. The Closed-Loop PID Autotuner block is part of Simulink Control Design™ since MATLAB® R2018a and the induction motor and power converters have been modeled in Simscape Power Systems™. Get a free product Trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See What's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2018 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names maybe trademarks or registered trademarks of their respective holders.
Views: 1048 MATLAB
AUTOSAR ECU Software Simulation in Simulink
AUTOSAR ECU Software Simulation simulates the behavior of an ECU’s Application Software and Basic Software services in a PC-based environment, Simulink®. Learn more about MathWorks support for AUTOSAR: http://bit.ly/2MVjWRM This implies replacing the hardware with some form of emulation, which primarily helps in validating the software via modeling simulation. By using Simulink, modeling and simulating the application layer software components are easily done. Now the question is: Can we model and simulate Basic software services? The answer is yes. Many basic software modules exist; we provide out-of-the-box preconfigured caller blocks and reference implementation for NVRAM Manager and Diagnostics Services. It takes time to read the bulky AUTOSAR specifications and understand the specifications of NVRAM Manager and Diag services. So preconfigured service callers and reference implementation blocks are provided to simulate the behavior of the software. This video demonstrates how to use the preconfigured BSW blocks by using the seat belt reminder Simulink model. Get a free product Trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See What's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2018 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names maybe trademarks or registered trademarks of their respective holders.
Views: 1146 MATLAB
Dot and Cross Product in Matlab in Urdu/Hindi
Dot and Cross Product in Matlab in Urdu/Hindi Here, you'll learn about dot and cross product of vectors, dot and cross product of vectors in hindi, dot and cross product khan academy, dot and cross product examples, cross multiply, cross product, online matlab compiler, scalar product, online matlab compiler, vector multiplication, dot product of two vectors, simulink. Download Matlab Software Here: https://bulkbytes.blogspot.com/2017/10/matlab-2013a-with-serial-key-full.html Subscribe our channel for more videos: https://www.youtube.com/channel/UCxeac6DPx87DO0wK2udQtoQ?view_as=subscriber?sub_confirmation=1
Views: 3 Math with Umair
IEA216 Mathematical Operations in Matlab
Addition, subtraction, multiplication, division, and exponentiation in Matlab. Software: Matlab Version: 2017a. Topics: 1:30 - Addition (+) operator 4:10 - Multiplication (*) operator 5:28 - The 'clear' and 'clc' commands 6:35 - Multiplication (*), the dot product 8:32 - Multiplication (*), element by element 9:05 - Division (/,\) operator, "left" and "right" divisions 10:21 - Solving multiple linear equations using the "right" division 12:12 - Division (/) operator, element by element 12:30 - Division by zero 12:56 - Exponentiation (*) operator
Views: 344 Yusri Yusup
Dot vs Cross Product
This video shows the difference between the dot and cross products. With the vectors [a,b,c] and [x,y,z], the dot product results in the scalar a*x + b*y + c*z. The cross product results the vector [b*z-c*y, c*x-a*z, a*y-b*x].
Views: 2741 Edward Shore
Vectors Concatenation
Introduction to the concept of concatenation in MATLAB
Views: 1156 Cedric Stallworth
Understanding Control Systems, Part 4: Simulating Disturbance Rejection in Simulink
This demonstration uses a car to show how you can simulate open- and closed-loop systems in Simulink®. Download the Simulink Models used in this video: https://goo.gl/XSVvJx Watch other MATLAB Tech Talks: https://goo.gl/jD0uOH Get a free Product Trial: https://goo.gl/C2Y9A5 First, you will learn how to model and tune open-loop systems. The goal of the demonstration is to maintain the speed of a car. Then, you’ll explore the behavior of the open-loop system in the presence of a disturbance. To illustrate disturbance rejection, the video shows how to model and simulate a feedback control system . You will gain insight into how feedback control compensates for disturbance. You’ll investigate signals such as error (in this example, the error is the difference between the measured and desired output), actuating signal (here, the actuating signal is the pedal’s position) and system output (in this example, the output is speed).
Views: 24123 MATLAB
Battery Management System Development in Simulink
Learn more on developing battery management systems: http://bit.ly/2P6Z6DA Battery management systems balance the state of charge of individual cells and ensure the proper charging, discharging, and safe operation of rechargeable battery packs. Get free resources on Battery Management systems: http://bit.ly/2P1PA4A Download a trial: http://bit.ly/2P77UJK Simulink® is used to create a model of a three-cell battery pack that is charged using a constant-current constant-voltage (CCCV) profile, and simultaneously equalizes the state of charge of the cells using on-charge passive balancing. The balancing logic is designed in Stateflow®, and it is ready for automatic C-code generation for hardware implementation." © 2018 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names maybe trademarks or registered trademarks of their respective holders.
Views: 2939 MATLAB
CAS DOT Lab -100- Memristor based neuromorphic computing
By Vishnu Jujhala and Vinod Kumar, Graduate Student At Texas Tech University, Spring 2015
Views: 1339 Tooraj Nikoubin
Matlab Vector Operations  - Beginner's Tutorial (3/15)
http://adampanagos.org Matlab vector examples are defined and various vector operations (component-wise operations, scalar product, etc.) are examined and performed in Matlab. If you enjoyed my videos please "Like", "Subscribe", and visit http://adampanagos.org to setup your member account to get access to downloadable slides, Matlab code, an exam archive with solutions, and exclusive members-only videos. Thanks for watching! -~-~~-~~~-~~-~- Checkout my newest video: "Signal Operations: Time Scaling, Downsampling, and Upsampling" https://www.youtube.com/watch?v=RWM-zmyDKp8 -~-~~-~~~-~~-~-
Views: 1422 Adam Panagos
Detecting division-by-zero with QGen
In this video, we use QGen static analysis capabilities to detect a potential division by zero.
Views: 554 Matteo Bordin
Plotting a Trajectory in 3D
Illustrates how to create a plot from data points in three-dimensional space outlining the path of an object. Get a free product Trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See What's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2018 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names maybe trademarks or registered trademarks of their respective holders.
Views: 1460 MATLAB
Lesson16 GY-521 Module & MPU-6050
GY-521-Module & MPU-6050. Demonstrate the Elegoo sketch provided in the tutorial covering the GY-521-Module which uses a 6-axis, 6 DOF, MEMS MPU-6050. A beginner's guide to the Most Complete Starter Kit by Elegoo. Hello everyone, I'm Rick the Tech Enthusiast here with the next Elegoo Lesson. This is the next lesson on my Arduino UNO Series covering the Most Complete Starter Kit by Elegoo. I try to follow the included tutorial and will point out any changes or corrections as I find them. As mentioned before, I purchased this Elegoo starter kit and Elegoo isn't sponsoring me. I just thought it would be fun to do a video of each Lesson as I was learning the Arduino environment. We’ll need a few things from your Elegoo Arduino UNO kit. I’ll list the items below. In this lesson we’re going to check out the GY-521 Module. I’ll step through the Elegoo provided tutorial and briefly explain how code makes this happen. We’ll build and configure a simple circuit that is provided in the tutorial to demonstrate the functionality. The sketch uses Wire.h Library and I2C to communicate to the module. I hope you enjoy it. Parts you’ll need for the tutorial: * Elegoo Arduino UNO R3 board * GY-521 Module * Four or five female-to-male jumper wires The next lesson will be Lesson 17: HC-SR501 PIR Sensor Links: This lesson’s sketch and associated drawings can be found at [Github](https://github.com/rmorenojr/ElegooTutorial) * MAX7219 LED Dot Matrix Module 8 x 8 with 5pcs Dupont Line – Amazon: https://www.amazon.com/gp/product/B07775NFS1/ref=as_li_tl?ie=UTF8&camp=1789&creative=9325&creativeASIN=B07775NFS1&linkCode=as2&tag=rmorenojr-20&linkId=e22554aadef2d560362378583368f4cf * Elegoo EL-KIT-001 UNO R3 Project Complete Starter Kit with Tutorial for Arduino (63 Items) on Amazon: https://www.amazon.com/gp/product/B01CZTLHGE/ref=as_li_tl?ie=UTF8&camp=1789&creative=9325&creativeASIN=B01CZTLHGE&linkCode=as2&tag=rmorenojr-20&linkId=ac3601531bad9439bc32c77b0088b741 * Elegoo’s web site https://www.elegoo.com/ https://www.elegoo.com/product/elegoo-uno-r3-project-complete-starter-kit/ * Fritzing Software: http://fritzing.org/download/ * Arduino Language Reference (English): https://www.arduino.cc/reference/en/ * Wire.requestFrom() https://www.arduino.cc/en/Reference/WireRequestFrom * Wire.read() https://www.arduino.cc/en/Reference/WireRead * Wire.write() https://www.arduino.cc/en/Reference/WireWrite * Wire.beginTransmission() https://www.arduino.cc/en/Reference/WireBeginTransmission * Wire.endTransmission() https://www.arduino.cc/en/Reference/WireEndTransmission * Wire.requestFrom() https://www.arduino.cc/en/Reference/WireRequestFrom * Wire.available() https://www.arduino.cc/en/Reference/WireAvailable * TDK InvenSense MPU-6000 and MPU-6050 https://www.invensense.com/products/motion-tracking/6-axis/mpu-6050/ * Ep. 57 Arduino Accelerometer & Gyroscope Tutorial MPU-6050 6DOF Module by EEEnthusiast https://www.youtube.com/watch?v=M9lZ5Qy5S2s Music provided by Free Music Archive, by artist Jahzzar - [Jahzzar_-_01_-_Shake_It](http://freemusicarchive.org/music/Jahzzar/) This is another video for my Arduino tutorial series. If you like the series, be sure to rate and subscribe. Thanks for watching
Views: 953 Ricardo Moreno
Matlab Tutorial - 35 - Inputting Matrices and Extracting Elements - Part 1
Get more lessons like this at http://www.MathTutorDVD.com Learn how to work with matrix math in matlab in this lesson. We will learn how to input a matrix and extract elements of matrices.
Views: 52 mathtutordvd
Matlab - Sect 47 - Matrix Norm, EigenValues, and the Characteristic Polynomial
Math Tutor Series for Matlab Programming.
Views: 1823 Ahmed Hamdy
Intro to Vectors
Views: 682 t vanausd
Matlab 2016 - Language Fundamentals Expressions - Formating - Indexing - Type of Arrays Part 2
Matlab 2016 is used by Lots of engineers and scientists worldwide to evaluate and plan the systems and products transforming our world. Matlab is the easiest and most creative software environment for engineers and scientists. MATLAB (matrix laboratory) is a multi-standard mathematical computing environment and fourth-generation programming language. It is a tool for doing mathematical calculations with matrices and vectors. Matlab Programming language is established by MathWorks. And Matlab Programming Language Platform is enhanced for solving engineering and Scientific complications. In this Online Matlab Course, you will learn the all the very important concepts of Matlab programming from entering matrices to the most advanced simulation courses using Matlab and Simulink. In this Video Lecture : You Will Learn the Very Basics of Getting Started with Matlab 2016 and will learn some very basics tips. Matrices and Magic Squares About Matrices Entering Matrices sum, transpose, and diag Expressions Variables Numbers Matrix Operators Entering Commands The format Function Suppressing Output Entering Long Statements Command Line Editing Indexing Subscripts The Colon Operator Concatenation Deleting Rows and Columns Scalar Expansion Types of Arrays Multidimensional Arrays Cell Arrays Characters and Text Structures
Views: 1118 TheEngineeringWorld
ETAS INCA-VLINK -- Blockset for Measurement and Calibration on Windows
INCA-VLINK a allows the deployment of Simulink® models as executable programs running on standard Windows PCs.This video introduces the main product features and shows how to work with the product. Since this video contains large screen recordings, we recommend to select a high resolution (Full Screen) and best video quality (HD). More information on ETAS INCA-VLINK: http://www.etas.com/inca_vlink
Views: 2504 ETAS
Introduction to Stateflow for Student Competition Teams
Learn basic Stateflow® terminology and functionality, as well as the workflow to design and simulate a simple state diagram. Stateflow is a graphical environment that enables modeling and simulating decision logic using state machines and flow charts. For more information about Stateflow, please visit the product page.
Views: 1096 MATLAB
Matlab Tutorial - 39 - Multiplying and Dividing Matrices Element-by-Element
Get more lessons like this at http://www.MathTutorDVD.com Learn how to multiply and divide matrices element by element. This operation is different from the usual matrix multiplication.
Views: 360 mathtutordvd
Building a Radar Data Cube with MATLAB and Phased Array System Toolbox
Learn more about Phased Array System Toolbox: http://www.mathworks.com/videos/phase... Download a Free Trial of Phased Array System Toolbox: https://www.mathworks.com/programs/tr... Build a radar data cube for two systems: an eight-element uniform linear array with a single radar target, and an array with 121 elements mounted on the surface of a sphere and 20 targets. Phased Array System Toolbox™ provides algorithms and apps for the design, simulation, and analysis of sensor array systems in radar, sonar, wireless communications, and medical imaging applications. The system toolbox includes pulsed and continuous waveforms and signal processing algorithms for beamforming, matched filtering, direction of arrival (DOA) estimation, and target detection. It also includes models for transmitters and receivers, propagation, targets, jammers, and clutter. The system toolbox lets you model the dynamics of ground-based, airborne, or ship-borne multifunction radar systems with moving targets and platforms. You can design end-to-end phased array systems and analyze their performance under different scenarios using synthetic or acquired data. The toolbox apps let you explore the characteristics of sensor arrays and waveforms and perform link budget analysis. In-product examples provide a starting point for implementing custom phased array systems.
Views: 4098 MATLAB
Multiplying Matrices + Matlab -Tutorial
How to Multiply two Matrices ? How to Multiply two Matrices in Matlab?
Views: 194 Wiki YouTube
Sect 01|   The User Interface   Part 1
This Course Focusing on the Essential Skills you should have if you are using or intended to use MATLAB, the course is about 61 tutorial each of them not more than 15 min, and includes the followings: Sect 1 - The User Interface - Part 1 Sect 2 - The User Interface - Part 2 Sect 3 - The User Interface - Part 3 Sect 4 - Using the Help Menus Sect 5 - Basic Arithmetic and Order of Operations Sect 6 - Exponents and Scientific Notation Sect 7 - Working with Fractions and the Symbolic Math Toolbox - Part 1 Sect 8 - Working with Fractions and the Symbolic Math Toolbox - Part 2 Sect 9 - Defining and Using Variables Sect 10 - Adding Comments to your Matlab Code Sect 11 - Clearing Variables Sect 12 - Adjusting the Display Precision for Calculations Sect 13 - Creating and Storing Values in Symbolic Variables Sect 14 - Performing Calculations with Symbolic Variables Sect 15 - Factorial, Square Roots, and nth Roots Sect 16 - Trigonometric Functions and their Inverses Sect 17 - Hyperbolic Functions and their Inverses Sect 18 - Exponentials and Logarithms Sect 19 - Basic Calculations with Complex Numbers Sect 20 - Calculating the Magnitude and Angle of Complex Numbers Sect 21 - Trig Functions, Logarithms, and Exponentials with Complex Numbers Sect 22 - Complex Numbers and the Symbolic Math Toolbox Sect 23 - Inputting Vectors and Extracting Components Sect 24 - Adding and Subtracting Vectors and Multiplying Vectors by a Scalar Sect 25 - Calculating the Vector Dot Product and Cross Product Sect 26 - Finding the Mean, Sum, and Length of a Vector Sect 27 - Extracting a Subset of Vector Elements Sect 28 - Creating Vectors with Evenly Spaced Elements Sect 29 - Joining Vectors Together Sect 30 - Multiplying and Dividing Vectors Element-by-Element Sect 31 - Applying Math Functions to Elements of a Vector Sect 32 - Creating Vectors with Random Elements Sect 33 - Calculating Mean, Median, and Standard Deviation of Data in a Vector Sect 34 - Working with Vectors using the Symbolic Math Toolbox Sect 35 - Inputting Matrices and Extracting Elements - Part 1 Sect 36 - Inputting Matrices and Extracting Elements - Part 2 Sect 37 - Adding and Subtracting Matrices and Multiplying by a Scalar Sect 38 - Multiplying Matrices Sect 39 - Multiplying and Dividing Matrices Element-by-Element Sect 40 - Finding the Length, Size, Sum, and Number of Elements in a Matrix Sect 41 - Joining Matrices Together Sect 42 - Apply Mathematical Functions to Matrices Sect 43 - Creating an Identity Matrix Sect 44 - Matrix Transpose, Diagonal Elements, and LU Decomposition Sect 45 - Solving A System of Equations using Row Reduced Echelon Form Sect 46 - Matrix Determinant, Inverse, Trace, and Rank Sect 47 - Matrix Norm, EigenValues, and the Characteristic Polynomial Sect 48 - Working with Matrices and the Symbolic Math Toolbox Sect 49 - Solving Algebraic Equations Sect 50 - Solving Systems of Linear Equations Sect 51 - Solving Algebraic Equations Symbolically Sect 52 - Solving Systems of Algebraic Equations Symbolically Sect 53 - Defining Mathematical Functions Sect 54 - Taking Derivatives in Calculus Sect 55 - Evaluating Derivatives at a Point Sect 56 - Taking Partial Derivatives in Calculus Sect 57 - Indefinite and Definite Integrals Sect 58 - Taking Limits in Calculus Sect 59 - Basic Scatter Plots Sect 60 - Plotting Functions Sect 61 - Changing Plot Appearance
Views: 115 TO Courses
Matlab - Sect 26 - Finding the Mean, Sum, and Length of a Vector
Math Tutor Series for Matlab Programming.
Views: 594 Ahmed Hamdy
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In this lecture, we define "homogeneous" linear systems, and discuss how to find the solutions to these systems in parametric vector form.
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