In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) SignalS in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined.
This is GPS Acquisition..by Matlab, this file performs cold start acquisition on the collected "data". It
searches for GPS SignalS of all satellites, which are listed in field
"acqSatelliteList" in the settings structure. Function saves code phase
and frequency of the detected SignalS in the "acqResults" structure.
This is GPS Matlab acquisition code. Function performs cold start acquisition on the collected "data". It
searches for GPS SignalS of all satellites, which are listed in field
"acqSatelliteList" in the settings structure. Function saves code phase
and frequency of the detected SignalS in the "acqResults" structure.
This is a simple MIPS processor datapath written in VERILOG hardware language. You can see the SignalS when emulating in SignalScan. Compile it with verilog in linux.
In C Algorithms for Real-Time DSP, author Paul M. Embree presents a complete guide to digital signal processing techniques in the C programming language. This book is structured in such a way that it will be most useful to the engineer who is familiar with DSP and the C language, but who is not necessarily an expert in both. All of the example programs in this book have been tested using standard C compilers in the UNIX and MS-DOS programming environments. In addition, the examples have been compiled using the real-time programing tools of specific real-time embedded DSP microprocessors (Analog Devices ADSP-21020 and ADSP-21062 Texas Instruments TMS320C30 and TMS320C40 and AT&T DSP32C) and then tested with real-time hardware using real-world SignalS.
SPREAD SPECTRUM MODULATION TECHNIQUES
-spread spectrum - those modulation methods that are producing a signal whose
spectrum is more wider than of the data signal, the occupied frequency band being
independent by the signal of data band.
-The SignalS with spread spectrum of direct sequence type BPSK (BPSK-DS-SS)
-The SignalS with spread spectrum of direct sequence type QPSK – DS–SS
- Frequency hopping spread spectrum SignalS (FH-SS)
The MINI2440 is an effecient ARM9 development board with a comprehensive price, it characterizes simple method and high performance-price ratio. Based on the Samsung S3C2440 microprocessor, it embodies professional stable CPU core power source chip and reset chip to ensure the stability of the system operation. The PCB on the MINI2440 board is designed to be 4-layers board, adopting the ENIG technology and professional equal-length wiring to ensure the completeness of the SignalS of the key signal wires and manufactured and released under stringent quality control plans. With the help of this detailed manual, users are supposed to become proficient in the development process of embedded Linux and WinCE operating system, they are supposed to get the foundation, so long as they have obtained the basic and necessary knowledge about the C language, in two weeks.
This application note considers the design of frequency-
selective filters, which modify the frequency content
and phase of input SignalS according to some specification.
Two classes of frequency-selective digital filters
are considered: infinite impulse response (IIR) and finite
impulse response (FIR) filters. The design process
consists of determining the coefficients of the IIR or FIR
filters, which results in the desired magnitude and
phase response being closely approximated.
This application note considers the design of frequency-
selective filters, which modify the frequency content
and phase of input SignalS according to some specification.
Two classes of frequency-selective digital filters
are considered: infinite impulse response (IIR) and finite
impulse response (FIR) filters. The design process
consists of determining the coefficients of the IIR or FIR
filters, which results in the desired magnitude and
phase response being closely approximated.
gmsk modulation of numerical data generated by a random source, the output of the modulator give two SignalS, the first is gmsk signal and the other is gaussien frequency pulse shape
