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MATLAB Projects

MATLAB projects | Innowitech MATLAB Projects
Bangalore INDIA

Innowitech Solutions bangalore offers MATLAB projects guidance. It offers MATLAB projects e.g. cloth recognition, sleep detection, IFFT, OFDM, LDACS, viterbi decoder etc. in Bangalore,INDIA.

This page provides list of MATLAB projects offered by Innowitech in Bangalore along with basic synopsys. Projects include OFDM physical layer, OFDMA physical layer, MIMO Tx-Rx chain, convolutional encoder and viterbi decoder , CTC encoder and decoder, Discrete Wavelet Transform (DWT) , Fast Fourier Transform (FFT), LTE downlink chain simulation, data compression, iris edge detection etc. Innowitech is one of the top in Bangalore for providing quality project guidance in MATLAB signal processing domain. All the MATLAB projects listed will be delivered along with complete project report once order is placed. Support will be provided to understand the project and run the MATLAB simulation of the code.

Following table mentions list of MATLAB projects offered by Innowitech Solutions Bangalore, INDIA.

Clothing Pattern Recognition in MATLAB

This page covers Clothing Pattern Recognition MATLAB Project basics including synopsis. This clothing Pattern Recognition project is coded in MATLAB language. This MATLAB project is guided by Innowitech, Bangalore,INDIA.

Description of MATLAB Project on Clothing Pattern Recognition

Project Overview:

  • We have developed a camera-based prototype system that recognizes clothing patterns in four categories (plaid, striped, patternless, and irregular) and identifies a few clothing colors.
  • The system integrates a camera, a microphone, a computer, and a pair of earphones for audio description of clothing patterns and colors to the blind.
  • The clothing patterns and colors are described to blind users verbally.
  • This system can be controlled by speech input through microphone.
To develop a device prototype that:
  • Recognizing the pattern of cloth as one of the four basic patterns (Pattern-less, Plaid, Striped or Irregular).
  • Detecting the most visible colors present in the cloth pattern.
  • Producing an audio output for the user.
  • Thus, making the life of visually-impaired people more independent and easy.
Project Demo

Sleep Detection Image Processing MATLAB

This page covers Sleep detection image processing MATLAB Project basics including synopsis. This Sleep detection image processing project is coded in MATLAB language. This MATLAB project is guided by Innowitech,Bangalore,INDIA.

Description of MATLAB Project on Sleep detection image processing

The objective was to develop a non-invasive system for detecting the closing of eyes of a person driving an automobile and provide an alarm indication thus preventing road accidents from occurring. Live video relay of the driver’s eyes is processed using Image Processing in MATLAB to detect whether the eye is closed for more than a fixed duration thus indicating conditions of fatigue, alcohol consumption etc. The system proves to be more accurate and safe compared to the existing sleep detection system developed using Infrared Sensors and Micro-processors.

Project Demo

OFDM Transmitter MATLAB PROJECT | OFDM Receiver MATLAB Code

This page covers OFDM Transmitter and Receiver MATLAB Project basics including synopsis. This OFDM Transmitter and Receiver project is coded in MATLAB language. This MATLAB project is guided by Innowitech,Bangalore,INDIA.

Description of MATLAB Project on OFDM Transmitter and Receiver

OFDM is a Orthogonal Frequency Division Multiplexing technique. In this project we will be developing OFDM Transmitter chain used in fixed WiMAX as per IEEE 802.16-2004 Specifications for downlink chain. In the WiMAX system there are two basic components CPE (Customer Premises Equipment) and BS (Base Station). The transmission from BS to CPEs is called as downlink and transmission from CPEs to BS is called as uplink. The OFDM physical layer transmitter consists of scrambler, Reed Solomon encoder, convolution encoder, puncturing, Interleaver, data mapping(data modulation), OFDM symbol formation, 256 point IFFT , cyclic prefix(CP) insertion module. This transmitter generated baseband IQ data which is inserted to DAC and RF part before transmission in the air. The other OFDM standards which also can be implemented are WLAN (802.11a/b) and L-band Digital Aeronautical Communication System (LDACS).

Audio Based Application Control in MATLAB

This page covers Audio Based Application Control MATLAB Project basics including synopsis. This Audio Based Application Control project is coded in MATLAB language. This MATLAB project is guided by Innowitech,Bangalore,INDIA.

Description of MATLAB Project on Audio Based Application Control

Under this project, we are using a common controller for the basic home appliances. The controller has an audio input unit to detect the user’s speech. An audio authentication system allows only specific users to access the controller and the devices connected to it. Some specific parameters of the user’s voice are stored in an on-chip memory. Every time a user wants to access the controller, it compares his/her voice’s parameters with those saved in the database. If the parameters match, the user can control the devices using voice commands.

Convolutional Encoder MATLAB PROJECT | Viterbi Decoder MATLAB

This page covers covolutional encoder and viterbi decoder MATLAB Project basics including synopsis. This convolutional encoder and viterbi decoder project is coded in MATLAB language. This MATLAB project is guided by Innowitech,Bangalore,INDIA.

Description of MATLAB Project on Convolutional Encoder & Viterbi Decoder

Convolution encoder and viterbi decoder is used as forward error correction techniques used in wireless system. It helps in achieving better BER at the same SNR compare to non FEC based wireless system. In this MATLAB project, convolution encoder and viterbi decoder with following specifications have been implemented.

Convolution Encoder (3, 1, 4) Features:

  • Coding Rate: 1/3
  • Constraint Length: 5
  • Output Bit Length: 3
  • Message Bit Length: 1
  • Maximal Memory Order / no. of Memory Elements = 4
  • Generator Polynomials: 25 (8), 33 (8), 37 (8)

Viterbi Decoder Features:

  • Codeword Length: 20
  • Coding Rate: 1/3
  • Constraint Length: 5
  • Trace Back Length: 20
  • Quantization Levels: two (Hard decision type)
  • Generator Polynomials: 25 (8), 33 (8), 37 (8)

OFDM MIMO STBC SM in MATLAB

This page covers OFDM MIMO MATLAB Project basics including synopsis. This OFDM MIMO project include STBC and SM techniques.The project is coded in MATLAB language. This MATLAB project is guided by Innowitech,Bangalore,INDIA.

Description of MATLAB Project on OFDM MIMO

MIMO stands for Multiple Input Multiple Output technique. It is employed as part of physical layer for various upcoming wireless technologies viz. Mobile Wimax and LTE. It has several advantages based on MIMO type viz. STBC, SM. STBC (Space Time Block Coding) helps in achieving better coverage by transmitting multiple symbols of the same data while SM (Spatial Multiplexing) transmits multiple data stream simultaneously to achieve higher data rate. MIMO implementation has been carried out using Almoutti codes for 2×2 configuration. The other configuration can also be implemented based on interest and requirement.

OFDMA Physical layer in MATLAB

This page covers OFDMA Physical Layer MATLAB Project basics including synopsis. This OFDMA Physical Layer project include transmiter and receiver and is coded in MATLAB language. This MATLAB project is guided by Innowitech,Bangalore,INDIA.

Description of MATLAB Project on OFDMA Transmitter, Receiver

OFDMA is a Orthogonal Frequency Division Multiple Access. It is the technique by which common resource (frequency and time) is shared among multiple subscriber stations. The technique is employed in Mobile WiMAX physical layer as well as LTE downlink chain. In this project OFDMA transmitter and receiver chain has been implemented as per IEEE 802.16e standard for downlink chain for 128 point FFT.

LDACS1 MATLAB PROJECT | LDACS2 MATLAB Project

This page covers LDACS1 and LDACS2 MATLAB Projects including synopsis. This project covers LDACS1 and LDACS2 Physical layer simulation in MATLAB language. This MATLAB project is guided by Innowitech,Bangalore,INDIA.

Description of MATLAB Project on LDACS1 and LDACS2 Physical Layer Simulation

LDACS is used as L-band Digital Aeronautical Communication System. It is basically communication mechanism between Air Craft Stations and Ground Station system. There are two versions of LDACS viz. LDACS1 and LDACS2. LDACS1 is based on OFDM modulation scheme and supports FDD topology. LDACS2 is based on GSM and supports TDD configuration. Transmission link from Aircraft Station (AS) to the Ground Station (GS) is referred as reverse link and transmission link from Ground Station (GS) to Aircraft Station is referred as forward link. This MATLAB project simulates LDACS1 physical layer used in Aircraft Transmitter and Ground Station receiver.

LTE Downlink Chain in MATLAB

This page covers LTE Downlink MATLAB Project basics including synopsis. This LTE Downlink physical layer simulation project is coded in MATLAB language. This MATLAB project is guided by Innowitech,Bangalore,INDIA.

Description of MATLAB Project on LTE Downlink PHY simulation

Long Term Evolution (LTE) is an advanced standard technology of the mobile communication systems. LTE has been developed by the 3rd Generation Partnership Project (3GPP). The new features exhibited by this technology is a direct impact of applying new modulation and coding techniques such as the Orthogonal Frequency Division Multiplexing (OFDM) for the Downlink and the Single Carrier Frequency Division Multiple Access (SC-FDMA) for the Uplink as well as turbo coding. This paper presents implementation of the transmitter of the LTE downlink physical layer according to releases 8 and 9 Using MATLAB/Simulink analysis tool. DL-SCH includes five steps of CRC, segmentation, second CRC, turbo coding and rate matching. PDSCH includes steps of scrambling, modulation mapping, layer mapping, pre-coding, resource mapping and OFDM. Also, paper presents the reduction of PAPR using PTS algorithm.

IRIS Edge Detection in MATLAB

This page covers IRIS Edge Detection MATLAB Project basics including synopsis. This IRIS Edge Detection project is coded in MATLAB language. This MATLAB project is guided by Innowitech,Bangalore,INDIA.

Description of MATLAB Project on IRIS Edge Detection

Different steps have been followed for this MATLAB project. It includes histogram Equalization, GAUSSIAN FILTERING and CANNY EDGE DETECTION.

Front End Synchronization in MATLAB

This page covers Front End Synchronization MATLAB Project basics including synopsis. This Front End Synchronization project include time offset estimation and correction, frequency offset estimation and correction and channel estimation and correction and are coded in MATLAB language. This MATLAB project is guided by Innowitech,Bangalore,INDIA.

Description of MATLAB Project on Front End Synchronization – Time, Frequency and Channel

OFDM system is prone to various interference leading to ISI, ICI and so on. This project covers time offset estimation and correction using Cyclic prefix, frequency offset estimation and correction using smith-cox algorithm and channel estimation and correction using Least Square Estimation technique.

MATLAB Image Processing projects

Other than DWT technique used for image compression, text and picture data compression techniques and iris edge detection Innowitech bangalore offers various image processing projects such as face detection, voice identification and more. Write with your specific requirement for us to respond.

Fast Fourier Transform MATLAB PROJECT | FFT MATLAB

This page covers FFT MATLAB Project basics including synopsis. This FFT (Fast Fourier Transform) project is coded in MATLAB language. This MATLAB project is guided by Innowitech,Bangalore,INDIA.

Description of MATLAB Project on FFT-Fast Fourier Transform

FFT refers to Fast Fourier Transform. There are several ways to calculate DFT or Discrete Fourier Transform. FFT is one such method to calculate DFT. There are three main steps to perform FFT. The FFT works by decomposition method. Decomposition is done for N point signal till each signal represent single time domain signal. These N points of time domain signals are converted into a single frequency domain signal spectrum. In this project 1024 point FFT has been implemented base on decimation In Frequency radix-2 FFT algorithm. FFT is used in various wireless standards such as WiMAX, Mobile WiMAX and LTE systems for various sizes.

Discrete Wavelet Transform MATLAB PROJECT | DWT MATLAB

This page covers DWT MATLAB Project basics including synopsis. This DWT (Discrete Wavelet Transform) project is coded in MATLAB language. This MATLAB project is guided by Innowitech,Bangalore,INDIA.

Description of MATLAB Project on DWT-Discrete Wavelet Transform

There are various techniques for image compression. One among them is DWT or Discrete Wavelet Transform. In this MATLAB project DWT with following specifications have been implemented.

  • Wavelet Family: Daubechies 9,7
  • Wavelet Type: Biorthogonal
  • Filter Bank architecture: Polyphase with Distributed Arithmetic structure
  • Input Data Word length: 16 bits
  • Co-efficient word length: 9 bits
  • Input image for compression: 512×512 grayscale image

Lossless Data Compression in MATLAB

This page covers Lossless Data Compression MATLAB Project basics including synopsis. This Lossless Data compression project includes algorithm implementation of run length coding, huffman coding,adaptive huffman coding,arithmetic coding and dictionary based coding. This MATLAB project is guided by Innowitech,Bangalore,INDIA.

Description of MATLAB Project on Lossless Data Compression

Data compression has become popular as compression reduces size of a file which helps save space when storing and save time when transmitting it. Data compression can be applied to text, image, sound and video information. Applications of data compressions are many which include generic file compression, multimedia, communication and database maintained by Google servers. There are two main types of compressions e.g. lossless and lossy. In this project test based lossless data compression algorithms have been implemented. The algorithms which have been implemented are run length coding, huffman coding, adaptive huffman coding, arithmetic coding and dictionary based coding.

COFDM simulation in MATLAB

This page covers COFDM simulation MATLAB Project basics including synopsis. This COFDM simulation project is coded in MATLAB language. This MATLAB project is guided by Innowitech,Bangalore,INDIA.

Description of MATLAB Project on COFDM simulation

COFDM is the combination of OFDM and CDMA concepts. It utilizes advantages of both the CDMA and OFDM modulation techniques to serve better BER. The BER curve for both OFDM and OFCDM has been depicted above. MATLAB simulation of OFCDM physical layer is carried out for 256 point FFT for multi user scenario. Total number of users simulated are four with provision to extend to N users. Both time domain and frequency domain spreading is applied to the mapped data. Blind channel estimation is carried out using eight pilot subcarriers spread across 256 FFT.

CTC Encoder in MATLAB

This page covers CTC Encoder MATLAB Project basics including synopsis. This CTC Encoder project is coded in MATLAB language. This MATLAB project is guided by Innowitech,Bangalore,INDIA.

Decription of MATLAB Project on CTC Encoder

The CTC stands for Convolutional Turbo Code. The constituent encoder or CTC encoder is depicted in the figure. It is double binary circular recursive systematic convolutional code. The MATLAB code for the same has been implemented. This is implemented as per IEEE 802.16e-2005 mobile wimax specifications. Write to us for more details.

Other MATLAB Projects

We offer MATLAB projects in other domain areas also after analyzing the requirements. So write to us with your specific need at enquiry@innowitech.com. Innowitech Solutions offer MATLAB projects in Bangalore at their facility located in RT Nagar.

About Bangalore,INDIA

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