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Signal Wizard 2.5 Programmable Digital Filter

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    Signal Wizard 2.5 Programmable Digital Filter

    Manufacturer: Signal Wizard Systems

    Price: $699.00

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    • Description
    • Features
    • Downloads

    Introduction

    Note: This system has also been referred to erroneously in the media as the "Sound Wizard". Especially when associated with using the device to create a violin sound comparable to a Stradivarius. Read more

    The Signal Wizard 2.5 is a unique, integrated system for designing, downloading and running very high performance filters in real-time. It includes the high-level PC-based software interface that designs the filter according to the user's requirements, a hardware module based on an advanced digital signal processor and a low-level firmware operating system that implements the filtering operations. Once designed, an integrated software interface is used to download the filter to the hardware module via a serial link where it is executed on demand. Most important, the system requires no knowledge of digital signal processing (DSP) theory on the part of the user, or of the mathematics associated with digital filter design. The Signal Wizard is a total-solution package. Due to its flexibility, it is particularly well suited to the real-time processing of audio signals. High quality analog signal conditioning and a stereo 24-bit resolution codec provide extremely high resolution, sufficient for the most demanding applications. In short, The Signal Wizard 2 brings the power of digital signal processing to any audio-bandwidth domain that requires electronic signal filtering. Applications include audio signal processing, sensor signal conditioning, signal analysis, vibration analysis, education and research in electrical, electronic and other physical sciences.

    New features added for Signal wizard 2.5 include:

    • True stand-alone operation (without PC) once configured

    • IIR and adaptive filters

    • True dual channel operation

    • Impulse response import

    • Real or complex frequency response import

    • Delay options for in/out and FIR filter modes

    • Real-time spectrum analyzer

    • 6 x faster operation

    • Off-line filter mode for wave (WAV) files

     

    The Main User Interface

    Real-time signal processing based on both general purpose microprocessors and fast digital signal processors is a technique that emerged in the 1970's, and is now widely considered one of the fastest growing application areas in the field of digital technology. Applications include biomedical signal analysis, image analysis, image coding and decoding, and audio signal enhancement. Typically for filtering, the analog waveform is first digitized by an ADC, and the binary values are transmitted to a DSP device that filters them using an appropriate algorithm. The processed data are then sent to a DAC that outputs a filtered analog signal.

    Filters constructed using DSP technology offer many advantages over traditional analog methods. Most important, they are inherently flexible, since changing the characteristics of the filter merely involves changing the program code or filter coefficients; with an analog filter, physical reconstruction is required. Furthermore, they are immune to the effects of aging and environmental conditions, since the filtering process is dependent on numerical calculations, not mechanical characteristics of the components. This makes them particularly suited for very low frequency signals. For the same reason, the performance of digital filters can be specified with extreme precision, in contrast to analog filters where a 5% figure is considered excellent. However, there are significant investments in terms of time and intellectual effort required to understand the functions and instruction set of a particular device, construct the system, and write the algorithms. This cycle can take many months. Contrast this with designing and fabricating a 2nd order analog filter based on two resistors, two capacitors and one op-amp, a process that might take fifteen minutes. Perhaps for this reason, scientists and engineers who wish to use a particular filter will first attempt an analog solution. DSP filters in contrast, tend to be used by individuals who are both familiar and comfortable with the art of DSP, in terms of the electronics, coding and mathematics.


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