Panama - OS Endorsement

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This PhD thesis examines differential modulation and non-coherent detection techniques in wireless relay networks. It proposes two differential relaying schemes: differential amplify-and-forward relaying and differential distributed space-time coding relaying. For differential amplify-and-forward relaying, it develops multiple-symbol differential detection to overcome error floors in fast-fading channels. It analyzes the performance of the schemes in time-varying channels and demonstrates their effectiveness through simulations. The thesis also explores maximum ratio combining at the destination to obtain diversity gains.

Dsp lab _eec-652__vi_sem_18012013

Kurmendra Singh

i. The linear convolution of two sequences was calculated using the conv command in MATLAB. The input sequences, individual sequences, and convolved output were plotted. ii. Linear convolution was also calculated using the DFT and IDFT. The sequences were padded with zeros and transformed to the frequency domain using FFT. The transformed sequences were multiplied and inverse transformed using IFFT to obtain the circular convolution result. iii. The circular convolution result using DFT/IDFT was the same as the linear convolution using the conv command, demonstrating the equivalence between linear and circular convolution in the frequency domain.

Digital e chap 4

Mohammad Bappy

Combating fading channels (1) (3)

liril sharma

Wireless communication systems are impacted by fading effects that cause fluctuations in signal strength. Fading occurs due to multipath propagation which results in multiple versions of the transmitted signal reaching the receiver at different times. This can cause either flat or frequency selective fading depending on the delay spread. Modulation techniques like BPSK can be used to combat fading. Simulation of a Rayleigh fading channel, which occurs when there is no dominant signal path, showed that it significantly impacts the bit error rate of a BPSK modulated signal. Future work could explore additional modulation techniques and integrating the model into a network simulator.

Mimo ofdm wireless communications with matlab

ntnam113

This document is the preface to a book titled "MIMO-OFDM Wireless Communications with MATLAB". The book provides a comprehensive introduction to MIMO-OFDM techniques for wireless communications, including wireless channel modeling, OFDM, and MIMO. It uses MATLAB programs to simulate the underlying techniques. The preface does not contain any content from the book, but rather introduces the book and acknowledges its intended audience of students and researchers in the field of wireless communications.

4g lte matlab

Hakim Zentani

Implementation of Wireless Channel Model in MATLAB: Simplified

Rosdiadee Nordin

The document discusses implementing a wireless channel model in MATLAB. It describes what a wireless channel is and the impairments in wireless channels like small-scale fading. It then covers the basics of channel models including generating fading channels and common channel models for single-input single-output (SISO) and multiple-input multiple-output (MIMO) systems. Specific SISO channel models covered include two-ray, exponential, IEEE 802.11, and Saleh-Valenzuela models. The spatial channel model is described as a common MIMO channel model. The presentation concludes with sharing experiences in modeling wireless channels.

Speaker recognition using MFCC

Hira Shaukat

This document discusses speaker recognition using Mel Frequency Cepstral Coefficients (MFCC). It describes the process of feature extraction using MFCC which involves framing the speech signal, taking the Fourier transform of each frame, warping the frequencies using the mel scale, taking the logs of the powers at each mel frequency, and converting to cepstral coefficients. It then discusses feature matching techniques like vector quantization which clusters reference speaker features to create codebooks for comparison to unknown speakers. The document provides references for further reading on speech and speaker recognition techniques.

This document discusses modeling wireless communication systems using MATLAB. It covers: - Characterizing the wireless channel from physics of propagation to multi-path fading channels. - Statistical characterization of channels including Doppler spectrum, delay spread, coherence time and bandwidth. - Simulating multi-path fading channels in MATLAB and modeling path loss. - Explaining how multi-path propagation leads to signal distortion and is equivalent to undesired filtering.

Matlab source codes section | Download MATLAB source code freerce-codes

hafsabanu

Simulation of A Communications System Using Matlab

Polytechnique Montreal

MATLAB and Simulink for Communications System Design (Design Conference 2013)

Analog Devices, Inc.

matlab code for channel estimation for ofdm

Gyana Ranjan Mati

This Matlab code simulates OFDM channel estimation using a PN sequence as a cyclic prefix. It generates transmitted OFDM signals, adds channel effects using different multipath delay profiles, and estimates the channel using three methods: conventional correlation, correlation with two-tap filter estimation, and interpolation of periodically inserted PN sequences. It compares the bit error rates of the three channel estimation methods under varying signal-to-noise ratios.

Introduction To Wireless Fading Channels

Nitin Jain

The document summarizes key concepts related to wireless fading channels, including: 1. Multipath fading causes fluctuations in signal strength over small physical distances due to constructive and destructive interference from multiple signal paths. 2. Rayleigh fading occurs when there is no line-of-sight path between transmitter and receiver, resulting in fast, large fluctuations in signal strength over small physical distances. 3. Doppler spread and coherence time describe how quickly the wireless channel varies over time due to mobility, with fast fading occurring if the channel changes significantly within a symbol period.

Simulation of Wireless Communication Systems

Bernd-Peter Paris

This document provides an outline for a course on modeling wireless communication systems using MATLAB. The course aims to cover both theoretical concepts and practical simulations. MATLAB will be used to illustrate key concepts and visualize signals. Students will learn the basics of MATLAB, including how to represent signals as vectors, perform vector operations, and use built-in functions to manipulate signals. Both theory and MATLAB simulations will be presented in parallel to make concepts concrete.

Classroom Management Presentation

lorenwilliams

This document discusses classroom management strategies for urban middle schools. It defines classroom management as creating a safe, inclusive learning environment through building relationships, understanding students, and promoting engagement. Key strategies discussed include establishing clear routines and expectations, using positive reinforcement, and consistency. The document notes challenges urban students and teachers face include violence, lack of support systems, and low motivation. It emphasizes that strong classroom managers can help close learning gaps through training in research-backed management techniques.

Classroom Management Techniques

Baita Sapad

The document discusses effective classroom communication techniques. It emphasizes using descriptive rather than judgmental language when speaking to students. Both parties need to listen - communication is a two-way street. The document outlines aspects of communicating like teaching students to listen, listening to students, using supportive replies, avoiding unintended messages, and maintaining professional confidence while respecting students' rights. Overall, the key is using a descriptive language style to make students feel less defensive and more willing to engage in learning.