Digital Signal Processor ( DSP ) based 1 / f α noise generator

نویسندگان

  • R. Mingesz
  • P. Bara
  • Z. Gingl
چکیده

1/f noise is present in several natural and artificial systems, and even though it was discovered several years ago, it is still not completely understood. Due to the lack of an universal model, the main methods of investigating a system where 1/f noise is present are numerical simulations and real measurements. The second method can lead to more adequate results, since it is free from numerical artifacts. In the case of real measurements, we need reliable, wide-band noise generators. Many ways of generating noise are known; most of them have several limitations on the frequency bandwidth or on spectral properties. We wanted to create a device which is easy to use, which can generate any kind of 1/f α noise and whose bandwidth is wide enough to make our investigations. We used a DSP (ADSP2181) to numerically generate the desired noise, and a D/A converter to convert it to an analogue signal. The noise generation algorithm was based on the known method of filtering a Gaussian white noise with a series of first-order digital filters. We enhanced this method to get a better spectral shape and to compensate for the side effects of the digital-to-analogue conversion.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A 10µW digital signal processor with adaptive-SNR monitoring for a sub-1V digital hearing aid

An ultra low-power digital signal processor (DSP) is proposed for the digital hearing aid. The DSP has a SNR monitor to vary its internal clock frequency in accordance with the input signal level. Digital filters use hardwired barrel shifters in place of multipliers, and a parameter ROM provides filter parameters. The clock generator consumes only 1 μW at sub-1V. The DSP consumes only 10 μW at ...

متن کامل

Design and Implementation of Digital Demodulator for Frequency Modulated CW Radar (RESEARCH NOTE)

Radar Signal Processing has been an interesting area of research for realization of programmable digital signal processor using VLSI design techniques. Digital Signal Processing (DSP) algorithms have been an integral design methodology for implementation of high speed application specific real-time systems especially for high resolution radar. CORDIC algorithm, in recent times, is turned out to...

متن کامل

Ultra-Low-Energy DSP Processor Design for Many-Core Parallel Applications

Background and Objectives: Digital signal processors are widely used in energy constrained applications in which battery lifetime is a critical concern. Accordingly, designing ultra-low-energy processors is a major concern. In this work and in the first step, we propose a sub-threshold DSP processor. Methods: As our baseline architecture, we use a modified version of an existing ultra-low-power...

متن کامل

Neutron generator burst timing measured using a pulse shape discrimination plastic scintillator with silicon photomultiplier readout

An EJ-299-34 plastic scintillator with silicon photomultiplier (SiPM) readout was used to measure the fast neutron output of a pulsed Thermo-Fisher A-325 Deuterium-Tritium sealed tube neutron generator (STNG). The SiPM signals were handled by a prototype digital pulse processing system, based on a free-running analogue to digital converter feeding a digital signal processor (DSP). Pulse shape d...

متن کامل

Hardware Implementation of Speech Enhancement Algorithms

This paper implements a VLSI based Adaptive noise canceller (ANC) using Least Mean-Square (LMS) and Normalized Least Mean-Square (NLMS). Adaptive filters are capable of adapting their filter coefficients as per the variations in characteristics of input signal and noise to achieve a noise free signal. These algorithms have been implemented on Digital Signal Processor. Platform used for implemen...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005