Transfer function

About: Transfer function is a research topic. Over the lifetime, 14362 publications have been published within this topic receiving 214983 citations. The topic is also known as: system function & network function.

System and method for calibrating display device using transfer functions

Abstract: The present invention provides a voltage transfer function, a luminance transfer function, and a transfer factors (for example, efficiency, critical point, and slope) between these two functions, derives the correlation (based on the condition change in all cases) between an input grayscale voltage and output luminance, and calibrates the input grayscale voltage by a difference between measurement luminance and target luminance using the transfer functions. Therefore, the present invention can respond to change in conditions for all cases, and increase the accuracy, easiness, and generalization of calibration compared to the existing calibration scheme that relies on the lookup table by checking the actual measurement data and readjusting the transfer factors in each calibration stage. Moreover, the present invention can further increase the manufacturing yield by an average of 35% than the existing yield, significantly saving the manufacturing cost.

Ultrafast all-optical logic gate using a nonlinear optical loop mirror based multi-periodic transfer function

Abstract: A complete set of all-optical logic gate operations using a nonlinear-optical-loop-mirror-based multi-periodic transfer function is proposed. This scheme can operate all of sixteen two-input logic operations without changing configuration. We experimentally demonstrate AND, NAND, OR, NOR, XOR, and XNOR operations at 40 Gbit/s in a single configuration. We investigate the limitation of processing speed, and numerical simulation will show the feasibility of the processing speed up to 350 Gbit/s.

Accelerometer based line-of-sight stabilization approach for pointing and tracking systems

Abstract: Equipment operating from nonstationary platforms are subjected to angular jitter resulting from vehicle linear and angular motions. The purpose of a stabilized platform is to reject the angular disturbances so that the device modulation transfer function (MTF) is preserved at the system level. This paper describes a new platform stabilization approach where miniature, low-cost, linear accelerometers are used (instead of gyroscopes) for line-of-Sight (LOS) stabilization. This is accomplished by placing the accelerometers at strategic locations, and combining their outputs so that angular motion is determined from linear acceleration measurements. The control system uses the sensed angular accelerations to generate movement commands for the gimbal servomotors in the stabilization platform. This counter-rotates the imaging device to stabilize its LOS. The use of accelerometers allows the servo system to operate in an acceleration control mode which is more desirable than position or velocity control modes, typical of gyro-based systems, since this increases stabilization bandwidth. Substituting gyros with accelerometers provides the additional benefits of lower sensor cost, weight and power consumption, better temperature characteristics, more robustness, and higher shock resistance. >

Biased tomography schemes: an objective approach.

Abstract: We report on an intrinsic relationship between the maximum-likelihood quantum-state estimation and the representation of the signal. A quantum analogy of the transfer function determines the space where the reconstruction should be done without the need for any ad hoc truncations of the Hilbert space. An illustration of this method is provided by a simple yet practically important tomography of an optical signal registered by realistic binary detectors.

Signal-Flow Graphs and Random Signals

Abstract: A compact and meaningful description of a signal is offered by the flow-graph representation of the signal generator. A large class of important signal generators may be represented by a "trigger generator" which delivers a sequence of one or more impulses to various waveform generators. By describing the "trigger generator" by a Markoff process, by identifying the transition probability-densities between states of the Markoff process with impulse responses, and by interpreting the final response as an expectation-density (or average over the ensemble of possible signals), it is possible to obtain, by methods which are very similar to those used in computing the transfer function of an ordinary circuit, expressions for the power spectrum and correlation functions of signals produced by such sources. The important relationships between stochastic processes and familiar circuit concepts are first illustrated by calculating the probabilities associated with four different coin-tossing experiments of increasing complexity. As a fifth example, these relations are used to develop the well-known Poisson distribution and to introduce the expectation-density of occurrence of a recurrent event. General formulas for the correlation functions and power spectra of signals produced by Markoffian sources are then obtained for: a random telegraph message; a series of identical pulses having time jitter, both for the free-running and clock-synchronized cases; and, finally, a series of identical pulses of alternating polarity but with random spacing.