Design of complementary low-power CMOS architectures for looser-take-all and winner-take-all

Donckers, Nicolas; Dualibe, Carlos; Verleysen, Michel

doi:10.1109/mn.1999.758887

Cited by 21 publications

(7 citation statements)

References 9 publications

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“…Secondly, there are also several signal processing systems depending on the application. For instance, signal processing such as K-winners-take-all, are suitable for 3D vision systems [53][54][55][56][57][58] and subpixel accuracy [59][60][61][62][63][64][65]. Smoothing [66], motion detection [67][68][69], programmable amplification, multiresolution imaging [70], video compression [71], dynamic range enhancement, discrete cosine transform (DCT), intensity sorting, etc.…”

Section: Analog Signal Processingmentioning

confidence: 99%

Review of CMOS image sensors

Bigas

Cabruja

Salví

2006

Microelectronics Journal

498

230

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The role of CMOS Image Sensors since their birth around the 1960s, has been changing a lot. Unlike the past, current CMOS Image Sensors are becoming competitive with regard to Charged Couple Device (CCD) technology. They offer many advantages with respect to CCD, such as lower power consumption, lower voltage operation, on-chip functionality and lower cost. Nevertheless, they are still too noisy and less sensitive than CCDs.Noise and sensitivity are the key-factors to compete with industrial and scientific CCDs. It must be pointed out also that there are several kinds of CMOS Image sensors, each of them to satisfy the huge demand in different areas, such as Digital photography, industrial vision, medical and space applications, electrostatic sensing, automotive, instrumentation and 3D vision systems.In the wake of that, a lot of research has been carried out, focusing on problems to be solved such as sensitivity, noise, power consumption, voltage operation, speed imaging and dynamic range. In this paper, CMOS Image Sensors are reviewed, providing information on the latest advances achieved, their applications, the new challenges and their limitations. In conclusion, the State-of-the-art of CMOS Image Sensors. q

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Section: Analog Signal Processingmentioning

confidence: 99%

Review of CMOS image sensors

Bigas

Cabruja

Salví

2006

Microelectronics Journal

498

230

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“…The re-use of a n-input WTA circuit with current mirroring for p-input for the converse minimum calculation is not preferred due to the accuracy degradation and additional power consumption [19]. We propose this method, however, because the accuracy is still sufficient and because the circuit runs only during characterization.…”

Section: A Comparatormentioning

confidence: 99%

Regenerative circuits for rapid biosensing

Biyabani

Guiducci²,

DeMicheli³

2010

2010 17th IEEE International Conference on Electronics, Circuits and Systems

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Abstract-Integrated DNA-sensor arrays typically check for probe-target strand hybridization by analyzing the sensed capacitance changes, normally off-chip in software. However, many applications like portable medical devices require only the detection of an event or of a substance. We reduce the area, power and computational overhead for this task manifold with simple regenerative analog and mixed-signal circuits, including a 9-b low-power regenerative rail-to-rail comparator and a winner-take-all (WTA) circuit. Simulation of a design targeted for implementation in a 0.35µm CMOS process is presented.

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“…The next stage is the winner-take-all selection, which is done with a simple voltage-mode WTA after Donckers et al [48]. The main factor for choosing this WTA circuit is its simplicity; generally any kind of voltage-or current-mode WTA can be integrated with this system [53].…”

Section: System Architecturementioning

confidence: 99%

Active Pixel Sensor Design: From Pixels to Systems

Fish¹,

Yadid-Pecht²

2004

CMOS Imagers

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Abstract:Since active pixel sensors (APS) are fabricated in a commonly used CMOS process, image sensors with integrated "intelligence" can be designed. These sensors are very useful in many scientific, commercial and consumer applications. Current state-of-the-art CMOS imagers allow integration of all functions required for timing, exposure control, color processing, image enhancement, image compression, and ADC on the same die. In addition, CMOS imagers offer significant advantages and rival traditional charge coupled devices (CCDs) in terms of low power, low voltage and monolithic integration. This chapter presents different types of CMOS pixels and introduces the system-on-a-chip approach, showing examples of two "smart" APS imagers. The camera-on-a-chip approach is introduced, focusing on the advantages of CMOS sensors on CCDs. Different types of image sensors are described and their modes of operation briefly explained. Two examples of CMOS imagers are presented, a smart vision system-on-a-chip and a smart tracking sensor. The former is based on a photodiode APS with linear output over a wide dynamic range, made possible by random access to each pixel and by the insertion of additional circuitry into the pixels. The latter is a smart tracking sensor employing analog non-linear winner-take-all (WTA) selection.

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Design of complementary low-power CMOS architectures for looser-take-all and winner-take-all

Cited by 21 publications

References 9 publications

Review of CMOS image sensors

Review of CMOS image sensors

Regenerative circuits for rapid biosensing

Active Pixel Sensor Design: From Pixels to Systems

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