Abstract:
A method of simulating device mismatch effects on transient circuit behaviors utilizes a circuit model corresponding to an electronic circuit. The circuit model includes a plurality of circuit elements and one or more noise sources. The noise sources have noise characteristics that correspond to device mismatch effects associated with the circuit elements. A noise analysis is performed on the circuit model to generate a noisy steady-state waveform of a selected output of the electronic circuit. Then, the noisy steady-state waveform is translated into a prediction of the variation of a respective circuit parameter associated with the electronic circuit.
Abstract:
Embodiments of a system for determining and optimizing the performance a signaling system are described. During operation, the system captures or measures a single-bit response (SBR) for the signaling system. Next, the system constructs an idealized inter-symbol-interference-free (ISI-free) SBR for the signaling system which is substantially free of inter-symbol-interference (ISI). The system then calculates an ISI-residual from the captured SBR and the idealized ISI-free SBR. Next, the system constructs a calibration bit pattern for the signaling system that is based substantially on the ISI-residual. Finally, the system uses the calibration bit pattern to calibrate, optimize and determine an aspect of the performance of the signaling system.
Abstract:
A transform circuit includes a first circuit and a second circuit. The first circuit and the second circuit implement first and second mappings that together generate a pre-defined transform of N digital data symbols. The first circuit maps a set of N digital data symbols from N parallel data streams to N analog data symbols by generating N sets of first weighted sums of the N digital data symbols. Each respective first weighted sum is defined by a respective set of pre-determined first weighting values in a first matrix. The second circuit maps the N analog data symbols to a sequence of N output signals over N time intervals. Each of the N output signals corresponds to a respective second weighted sum of the N analog data symbols. Each respective second weighted sum is defined by a respective set of pre-determined second weighting values in a second matrix.
Abstract:
Light-field microscopy is facilitated using an approach to image computation. In connection with an example embodiment, a subject (e.g., 105) is imaged by passing light from the subject through a microlens array (e.g., 120) to a photosensor array (e.g., 130) to simultaneously detect light from the subject that is passed through different directions to different locations. In certain embodiments, information from the detected light is used to compute refocused images, perspective images and/or volumetric datasets, from a single- shot photograph.
Abstract:
A receive circuit for receiving a signal transmitted via an electrical signal conductor. A first sampling circuit generates a first sample value that indicates whether the signal exceeds a first threshold level, and a second sampling circuit generates a second sample value that indicates whether the signal exceeds a second threshold level. A first select circuit receives the first and second sample values from the first and second sampling circuits and selects, according to a previously generated sample value, either the first sample value or the second sample value to be output as a selected sample value.
Abstract:
Image data is processed to facilitate focusing and/or optical correction. According to an example embodiment of the present invention, an imaging arrangement collects light data corresponding to light passing through a particular focal plane. The light data is collected using an approach that facilitates the determination of the direction from which various portions of the light incident upon a portion of the focal plane emanate from. Using this directional information in connection with value of the light as detected by photo sensors, an image represented by the light is selectively focused and/or corrected.
Abstract:
Described are communication systems that convey differential and common-mode signals over the same differential channel. Noise-tolerant communication schemes use low-amplitude common-mode signals that are easily refected by differential receivers thus allowing for very high differential data rates. Some embodiments employ the common-mode signals to transmit bacchanal signals for adjusting the characteristics of the differential transmitter. Backchannel control signals are effectively conveyed even if the forward channel transmitter is so maladjusted that the received differential data is unrecognizable. Systems in accordance with the above-described embodiments obtain these advantages without additional pins or communications channels, and are compatible with both AC-coupled and DC-coupled communications channels. Data coding schemes and corresponding data recovery circuits eliminate the need for complex, high-speed CDR circuits.
Abstract:
A system and method for performing clock data recovery. The system sets the phase of a recovered clock signal 30 according to at least three estimates of the rate of change of an offset between the frequency of the data transmitter clock and the frequency of a receiver clock 15.
Abstract:
A first device is described. The first device may include a linear transformation circuit to implement multiplication by a matrix D. The linear transformation circuit may have an input to receive a vector having N digital values and an output to output N first output signals, a sign-adjustment circuit to adjust signs of a subset including at least M of the N first output signals in accordance with a set of coefficients H, and a conversion (DAC) circuit coupled to the sign-adjustment circuit. Outputs from the DAC circuit may be summed to produce an output.