Waveform sampling system

The document Processing Fundamentals and applications Digital signal present the content: introduction to digital signal processing, signal sampling and quantization, digital signals and systems, discrete fourier transform and signal spectrum, the Z-transform, digital signal processing systems, basic filtering types, and digital filter realizations, finite impulse response filter design, infinite impulse response filter design, hardware and software for digital signal processors, adaptive filters and applications, waveform quantization and compression, subband- and wavelet-based coding, ima...

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In the study of nuclear structure, the fast timing technique can be used to measure the lifetime of excited states. In the paper, we have developed a new fast timing system, which is made up of two LaBr3:Ce detectors and a set of waveform sampling system. The sampling system based on domino ring sampler version 4 chip (DRS4) can digitize and store the waveform information of detector signal, with a smaller volume and higher timing accuracy, and the waveform data are performed by means of digital waveform analysis methods.

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Receiver structure Impact of AWGN and ISI on the transmitted signal. Optimum filter to maximize SNR. Matched filter receiver and Correlator receiver.Demodulation and sampling: Waveform recovery and preparing the receivedl signal for detection: Improving the signal power to the noise power (SNR) using matched filter Reducing ISI using equalizerl Sampling the recovered waveform. Detection: Estimate the transmitted symbol based on the received sample

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Reference subjects of digital information in English and fully understandable. This book was written to be a textbook for seniors or first - year graduate students interested in electrical communication systems. The book departs from the usual formata in two major respects. First, the text does not cover analog or pulse modulation systems.

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This chapter begins with a discussion of elementary signals that may be applied to electric networks. The unit step, unit ramp, and delta functions are introduced. The sampling and sifting properties of the delta function are defined and derived. Several examples for expressing a variety of waveforms in terms of these elementary signals are provided.

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