## Üniversite ( Matlab,Python ) Özel Ders

DESTEK VEREBİLECEGİM KONULAR   Matlab – Matlab Simulink   Yukarıda ki derslerde özel ders için iletişime geçebilirsiniz.(Daha hızlı bir etkileşim için Email üzerinden yazmanızı öneririm)

## MATLAB full course

Learn the basics of MATLAB Desktop introduction Set Path Compare files Find files Import Data Analyze Code Simulink introduction Layout Preferences Add-on Help Live Script App in MATLAB Comment Elementary Math Linear Algebra Random Number Generation...

## Code debugging in MATLAB

You can debug your programs in the following ways: Divide the program into several shorter sections and try each section separately. Write the results of the calculations in the middle stages of the program flow. You can do this easily by removing the semicolon (;)...

## Session 9: Familiarity with MATLAB environment 2

Introduction to MATLAB environment 2 Why Familiarity with Environment 2? In preparing this training course, we have studied, reviewed, and consulted a lot! As we said in the first meetings, we decided not to bombard the interested parties with MATLAB facilities and...

## Session 08: Operations on Arrays in MATLAB

Introduction to Array Operations in MATLAB In the meeting with the MATLAB environment, we said that we can use MATLAB as a calculator. When you read the word calculator, what kind of calculator came to your mind? Simple calculators for shopkeepers or engineering...

## Session 07: Indexing in MATLAB

An introduction to indexing in MATLAB All variables in MATLAB are arrays, so to work with MATLAB we need to know how to work with arrays. In solving various problems with MATLAB, it often happens that we need the following two features: To extract a specific element...

## Session 06: Special matrices in MATLAB

In the previous session, we learned how to define arrays in MATLAB of different sizes. The problem, however, is that defining an array as a previous session (ie entering numbers manually) is appropriate for small arrays. Suppose we want to create a 100 × 100...

## Session 05: Creating Arrays in MATLAB

MATLAB stands MATrix LABratory means Lab matrix well. The reason for this naming is that all MATLAB variables are arrays. That is, each variable can contain several elements. By array in MATLAB, we mean the same vector and matrix in MATLAB that you have definitely...

## Session 04: MATLAB Tricks 1

Important constants in MATLAB tricks MATLAB has a set of special numbers and operators. In the following, we have introduced some frequently used cases.   Pi number in MATLAB The number π (pi or pi) is one of the most important constants in MATLAB. If you want to...

## Session 03 : Define a variable in MATLAB

Command window in MATLAB In the command window, in front of the >> sign you can enter your commands. Then, press Enter to execute the commands in MATLAB. Without any explanation, let’s write the first command in MATLAB. We want to multiply two numbers....

## Session 02: Familiarity with the MATLAB environment

Free MATLAB training is the name of one of the unique, complete and free collections of Artificial Intelligence Academy. You can see the list of free MATLAB training sessions in this link ( click ). In the first session of free training MATLAB, we want to provide you...

## Session 01: What is MATLAB?

Introduction : In this session, we want to answer three questions: What is MATLAB? Why learn MATLAB? How to learn MATLAB? In short, in this session, our goal is to introduce you to MATLAB software and its capabilities.   What is MATLAB? Figure 1: MATLAB software...

## Free MATLAB training

MATLAB software training can be divided into two levels: Basic level training Specialized level training   Basic level education is the same in all fields of study such as electricity, mathematics, computer, mechanics, civil engineering, etc. Because in the basic...

## AMD processors now run the Matlab app without any problems

According to new announcements, AMD’s Ryzen and Theradripper series CPUs can now run the popular MATLAB application, which is intended for engineers and scientists, much better than before. MATLAB is a programming platform developed by MathWorks specifically for...

## The Core Concepts of Model-Based Design

Model-Based Design is founded on eight core concepts: • Executable specification A model that encapsulates design requirements at a specific level of detail.   • System-level simulation The practice of simulating a model of the system to investigate system...

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## Some image enhancement methods

There are two main methods in digital image enhancement: spatial domain method and frequency domain method. Spatial domain method mainly processes the pixel in the image on the basis of gray mapping transformation. Frequency domain method is based on convolution...

## 3D World Editor in Simulink

install 3D world editor : vrinstall -install run it  : vredit To bring Simulink blocks for VR , type the following command : vrlib Blocks in 3D Animation VR sink Write data from Simulink model to virtual world   VR Source Read data from virtual world to Simulink...

A Hybrid car with navigation and safety and propulsion system run 2 million lines of embedded code.  MATLAB and Simulink help model based designer to design model with benefits such as faster design, higher quality, lower cost and greater flexibility.  Simulink is a...

## MATLAB TIPS AND TRICKS

Version Issues One of the key issues to be mindful of is that there are two new versions of MATLAB every year, one in the spring of that year (e.g., 2016a) and one in the fall (e.g., 2016b). Whereas changes in each release are incremental, over time, these changes do...

## Numerical integral of an input function or data set using Simpson’s rule

function I = simpsons(f,a,b,n) if numel(f)¿1 % If the input provided is a vector n=numel(f)-1; h=(b-a)/n; I= h/3*(f(1)+2*sum(f(3:2:end-2))+4*sum(f(2:2:end))+f(end)); else % If the input provided is an anonymous function h=(b-a)/n; xi=a:h:b; I=...

## flow rate calculation in the microfluidic channels using the rectangular channel flow equations

The following protocol calculated flow rate in the microfluidic channels using data obtained from PIV using the rectangular channel flow equations.   %Calculates flow rate from velocity according to the exact solution of %rectangular channel flow %Enter...

## flow rate calculation in the microfluidic channels using Purday approximation

flow rate calculation in the microfluidic channels using data obtained from PIV using the Purday approximation.   %Program uses the maximum velocity obtained from PIV to calculate the flow %rate %Define time step (us) time step=90; %Channel width (um) w=1500;...

## Sinc interpolation on input waveforms

function [yi, ypi] = sincdint(x, y, xi, c) % SINCDINT 1-D piecewise discrete sinc interpolation % SINCDINT(X,Y,XI,C) interpolates to find YI, the values of the % underlying function Y at the points in the array XI, using % piecewise discrete sinc interpolation. X and...

## Kalman Filter

Kalman Filter A Kalman filter is an optimal recursive data processing algorithm. One of the aspect of this optimality is that the Kalman filter incorporates all the information that can be provided to it. It processes all available measurements, regardless of their...

## Wavelet Transformation

Wavelet Transformation The wavelet transformation (WT) is a method of signal representation that enables simultaneous analysis in the time and frequency domains and aids the analysis of nonstationary signals such as spike trains by inducing sparsity. The wavelet...

## Variability Modeling and Management In Mobile Devices

Variability Modeling and Management In Mobile Devices The problems of power consumption, temperature stress and reliability degradation will only worsen with CMOS scaling and the consequent increase in variability. Variability in integrated circuits refers to the...

## Making Sustainable Fiber Optic

introduction The planning, development and implementation of a sprawling urban city is no easy task. For a moment, consider the modern metropolitan city perhaps in which you may currently reside; at some point, a city planner considered the effects of each additional...

## Xillybus IP core Implementation

The Xillybus IP core was implemented on a Virtex-5 FPGA on a Xilinx xupv5lx110t board. The core ports were connected to ChipScope integrated logic analyzer for on-chip testing. Before integrating the Xillybus IP core into the spike-based data reduction platform, its...

## Hardware Implementation And System Evaluation of Spike-Based Data Reduction Platform

This chapter details the hardware implementation of the platform design, and how the testing of each building block was performed. The spike detection processing modules were designed using Verilog HDL code. They were simulated using Xilinx® ISim for functional...

## Random Forest

Random Forest Random Forest is a schema for building a classification ensemble with a set of decision trees that grow in the different bootstrapped aggregation of the training set on the basis of CART (Classification and Regression Tree) and the Bagging...

## Basics of screws

Basics of screws The screw, a simple machine, is an inclined plane wrapped around a cylinder, used either as a fastener or as a force and motion modifier. Screws take many forms; the most common form consists of a cylindrical shaft with helical grooves or ridges...

## Stroke

Stroke Stroke provides an excellent model for the study of , in part due to its prevalence. Strokes are unfortunately quite common: 1 in 6 men and 1 in 5 women worldwide will suer a  stroke, and it can aect people of any age: around 27 per 100,000 perinatal (< 30...

## Principles of oximetry

Cellular respiration and oxygen transport in the body A basic understanding of cellular respiration is crucial to this work; to wit, a brief overview will be provided. There are two types of cellular respiration in the body:  aerobic and anaerobic respiration. Aerobic...

## Greedy Algorithms

Greedy algorithms estimate the support and coefficients of the signal in an iterative approach. At each iteration the estimate of the signal is improved by updating its support. Two well know Greedy algorithms are Matching Persuit (MP)  based methods and Iterative...

## C++ Boost implementation

In order to generate uniform distributed sample on the fly, the C++ Boost library was applied with its powerful statistical distribution templates. For generating a uni form distributed sample, the Mersenne Twister generator was implemented used. The Mersenne Twister...

## Tweet Information

The number of tweets collected for participating users varies widely, as shown in Figure. As discussed in subsection only about the most recent 3200 tweets can be collected from a user.The average of 1538 tweets collected per user and median of 1065 suggest that for...