Models UWB TX and RX using BPSK fifth derivative.
MATLAB Release: R13
Description: This m file models a UWB system using BPSK with the fifth order derivative of the gaussian pulse with correlation receiver and intgrator.
Decoding most of the infrared signals can be easily
handled by PIC16C5X microcontrollers. This application
note describes how this decoding may be done.
The only mandatory hardware for decoding IR signals
is an infrared receiver. The use of two types is
described here. Both are modular types used often by
the consumer electronics industry. The first type
responds to infrared signals modulated at about
40 kHz. The second responds to non-modulated infrared
pulses and has a restricted range. The hardware
costs of each approach will be less than two dollars.
本文檔作為《MISC平臺接口規范》的附件，定義了中國移動移動信息業務中心Mobile Information Service Center（以下簡稱為MISC）平臺V1.6版本WAP業務SP的應用程序接口，目的是為SP開發可接入MISC平臺的WAP業務提供指導規范。
本文檔并不用于指導SP如何申請接入MISC及業務測試等相關流程，以及WAP的頁面規范、WAP應用程序的可用性（如UI），這些問題請參閱CMCC相關文檔。
同樣，本文檔也不用于指導SMS等MISC所支持的其他應用的開發。
LemonSMS is a component developed in Java that provides a turnkey solution for application developers to incorporate into their Java applications the functionality of sending and processing of incoming SMS messages.
LemonSMS acts as a middleware between a Java application and a GSM Modem or Data enabled phone. Because LemonSMS only provides an interface to the added SMS functionality, your application still handles access to data and business logic tier. With the easy-to-use LemonSMS API, developers can easily utilize SMS functionalities provided by LemonSMS.
his packet is a IS-95 baseband simulation for 1 data channel of 9.6 KBps rate.
The simulation is written for static channel and AWGN noise. The packet include:
1) Packet Builder (Viterbi Encoding, Interleaver, PN generation)
2) Modulator (RRC filter)
3) Demodulator (Matched Filter, RAKE receiver)
4) Receiver (HD or SD) (Deinterleaver, Viterbi Decoder).
You should run "Simulation.m" function that include all modules.
This code was used for making the practical measurements in section 2.3 of my thesis. This Matlab code allows an OFDM signal to be generated based on an input data file. The data can be random data, a grey scale image, a wave file, or any type of file. The generated OFDM signal is stored as a windows wave file, allowing it to be viewed, listened to and manipulated in other programs. The modified wave file can then be decoded by the receiver software to extract the original data. This code was developed for the experiments that I performed in my honours thesis, and thus has not been fully debugged.
This is the original code developed for the thesis and so has several problems with it. The BER performance given by the simulations is infact Symbol Error Rate.
