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Filtering by: Subject Signal processing -- Digital techniques Remove constraint Subject: Signal processing -- Digital techniques Degree Level Doctoral Remove constraint Degree Level: Doctoral

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  • Nonlinear approach to the direction finding problem in array processing

    Creator:
    Ill-keun Rhee
    Abstract:
    In sonar or radar array processing, one of the most important objectives is to estimate the angles of incidence of distant source signals in a noisy environment. The standard eigenstructure-based method, which is known to yield high resolution spectral estimates for solving the direction finding problem, relies on the assumption...
    Resource Type:
    Dissertation
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    -known multiple signal classification (MUSIC) technique is shown as an example of the FCNI, using a

  • A dual-path 2-0 MASH ADC with dual digital error correction

    Creator:
    Zhang, Zhenyong
    Abstract:
    This dissertation presents a dual-path 2-0 MASH (Multi-stAge-noise -SHaping) ADC with two verified digital corrections of DAC mismatch error and quantization noise leakage. By using these two techniques, the requirements for the analog circuits are greatly relaxed. The dual-path structure generates two outputs, one only composed of conversion errors, the...
    Resource Type:
    Dissertation
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    analog world to digital one, converting analog signal into digital one as shown in Fig.1-1. Here err

  • High-performance delta-sigma analog-to-digital converters

    Creator:
    da Silva, Jose Barreiro
    Abstract:
    Multi-stage delta-sigma (ΔΣ) architectures, commonly known as MASH, are the preferred choice for analog-to-digital converters (ADCs) used in broadband communication applications, where high-resolution (above 14 bits) and high-bandwidth (several MHz) performances are required. Current state-of-the-art designs are capable of as much as 5-MS/s output data rates with 90-dB SNR. However,...
    Resource Type:
    Dissertation
    Full Text:
    -to-digital converters require some additional signal processing building blocks. First, the

  • A wideband low-power continuous-time delta-sigma modulator for next generation wireless applications

    Creator:
    Chen, Xuefeng
    Abstract:
    Delta-Sigma (ΔΣ) analog-to-digital converters (ADCs) are widely used in wireless transceivers. Recently, continuous-time (CT) ΔΣ ADCs gain growing interest in wireless applications for their lower power consumption and wider input bandwidth as compared with the discrete-time (DT) counterparts. In this thesis, a wideband low-power CT ΔΣ modulator for next generation...
    Resource Type:
    Dissertation
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    video) with the digital signal processor which can only process discrete-time and discrete-amplitude

  • Design of a 14-bit continuous-time Delta-Sigma A/D modulator with 2.5MHz signal bandwidth

    Creator:
    Li, Zhimin
    Abstract:
    In recent years, there has been growing interest in both industry and academia to use continuous-time (CT) Δ-Σ A/D converters for wideband wireless and wireline communication applications. So far no reported CT Δ-Σ A/D modulator achieves 14-bit or higher dynamic range (DR) with more than 2MHz signal bandwidth (equivalently 4MS/s)....
    Resource Type:
    Dissertation
    Full Text:
    -digital conversion towards the system front-end. This implies that more signal processing is shifted

  • Applied color processing

    Creator:
    Zhang, Heng
    Abstract:
    The quality of a digital image pipeline relies greatly on its color reproduction which should at a minimum handle the color constancy, and the final judgment of the excellence of the pipeline is made through subjective observations by humans. This dissertation addresses a few topics surrounding the color processing of...
    Resource Type:
    Dissertation
    Full Text:
    dissertation addresses a few topics surrounding the color processing of digital image pipelines from a

  • Time-based noise-shaping techniques for time-to-digital and analog-to-digital converters

    Creator:
    Young, Brian LeRoy
    Abstract:
    In this dissertation, time-based signal processing techniques and their applications in oversampling and noise-shaping data converters are examined. These techniques demonstrate the ability to shift the burden of high performance analog circuits from the compressed voltage-domain to the augmented time-domain. First, the potential of high order noise-shaping and phase-domain feedback...
    Resource Type:
    Dissertation
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    . Abstract approved: Pavan Kumar Hanumolu In this dissertation, time-based signal processing techniques and

  • Image features and learning algorithms for biological, generic and social object recognition

    Creator:
    Zhang, Wei
    Abstract:
    Automated recognition of object categories in images is a critical step for many real-world computer vision applications. Interest region detectors and region descriptors have been widely employed to tackle the variability of objects in pose, scale, lighting, texture, color, and so on. Different types of object recognition problems usually require...
    Resource Type:
    Dissertation
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    ............................................................................................................... 92 32. Illustration of Quasi-Random Weighted Sampling (QWS) technique .................. 95 33

  • Processing sequences of chromatophore images with application to a signal transduction pathway modeling

    Creator:
    Orhanovic, Iva
    Abstract:
    Systems biology is becoming increasingly important for the study of living organisms. It focuses on the mathematical understanding of biological systems. Cells, the basic units of all living creatures, are biological systems of major interest. Considerable work is being done towards modeling cells as mathematical systems. At the same time,...
    Resource Type:
    Dissertation

  • Image feature detection and matching for biological object recognition

    Creator:
    Deng, Hongli
    Abstract:
    Image feature detection and matching are two critical processes for many computer vision tasks. Currently, intensity-based local interest region detectors and local feature-based matching methods are used widely in computer vision applications. But in some applications, such as biological object recognition tasks, within-class changes in pose, lighting, color, and texture...
    Resource Type:
    Dissertation
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    of entire stonefly transportation and imaging setup (with microscope and at- tached digital camera