35results about How to "Increase effective resolution" patented technology

A compact monochrome ink jet printhead having a staggered high-density arrangement of ink drop generators for high-performance printing. The present invention provides a high-performance design that enable high-resolution and high-speed printing while reducing cost due to an efficient use of printhead space. In particular, the compact, high-performance printhead of the present invention includes several thermally-efficient aspects that allow a large number of ink drop generators to be placed on a compact printhead while minimizing problems such as thermal excursions. In a preferred embodiment, the ink drop generator density on the compact printhead exceeds 10 ink drop generators per square millimeter and the compact printhead contains at least 350 nozzles. The ink drop generators are arranged in at least four parallel rows. Each row is staggered (or offset) relative to an adjacent row to provide a greater effective pitch that a non-staggered arrangement.

By adding stabilization and super-sampling to a digital pixel readout integrated circuit (ROIC), line of sight motion, that is usually costly and difficult to control, instead becomes an ally, doubling the effective FPA resolution in some systems. The base repartitioned digital pixel architecture supplements analog signal accumulation with off-pixel digital accumulation, greatly increasing dynamic range. Adding address mapping and increasing the ratio of memory locations to pixels, enables stabilization and resolution enhancement. Additional stabilization at sub-frame intervals limits the effect of latency and simplifies complex address mapping. Pixels gains are compensated in-ROIC, without requiring multipliers. A unique partitioning of functions between the ROIC and subsequent logic allows pixel biases and non-isomorphic sampling effects to be compensated off-ROIC, reducing overall system complexity and power.

A digital receiver includes: an analog-to-digital (AD) converter (102) for setting discrimination levels in accordance with a discrimination level control signal and converting an analog input signal into a digital signal based on the set discrimination levels; a discrimination level adjusting circuit (104) for generating the discrimination level control signal and outputting the discrimination level control signal to the AD converter; a signal quality monitoring portion (108) for generating a transfer function correction control signal, which is information about a transfer function of the AD converter; and a transfer function correcting circuit (106) for performing signal processing on the digital signal so as to cancel a gap between the transfer function of the AD converter and an initial transfer function based on the transfer function correction control signal.

A method and apparatus determine an antialiased intensity of a component of a pixel from a two-dimensional distance field representing an object. A set of sample points in the two-dimensional distance field is associated with the component of the pixel. A distance is determined from the two-dimensional distance field and the set of sample points and then mapped to the antialiased intensity of the component of the pixel.

The invention suggests the use of microwaves in the spinning industry in order to determine the band mass of an elongated, substantially non-twisted fiber structure. In addition, a method for measuring the sliver mass from the frequency detuning and the damping of resonance signals of a microwave sensor while taking into consideration the moisture of the fiber structure with a computer is suggested. Likewise, a corresponding spinning preparation machine and a laboratory device for measuring the sliver mass are part of the invention. Lastly, a method and a spinning preparation machine for recognizing foreign matter in a moved fiber structure with the aid of microwaves is suggested.

The invention discloses a method for improving the data resolution ratio of a silica-based optical matrix processor and the processor. The method includes the steps that laser signals are output by a laser array and received and modulated by an optical modulator array to an N*1 vector A; a modulator matrix is formed by a micro-ring optical modulator matrix, wherein modulation depths form an M*N matrix B; optical modulation is carried out respectively by dividing the vector A into k subvectors and dividing the matrix B into k submatrixes so as to obtain the product of the k subvectors and the k submatrixes; the obtained product of the subvectors and the k submatrixes is detected by a detector linear array formed by k detectors, and then the product of the vector A and the matrix B is obtained; the element bit wide of each subvector and each submatrix is m, m bit vectors and m bit matrixes are formed after bitwise separation, and the product of the subvectors and the submatrixes is obtained by multiplying the bit vectors by the bit matrixes respectively.

The invention relates to visual detection and image processing. Aiming to improve the resolution of an image and the measurement accuracy of a system, the technical scheme of the invention is that: a random micro-displacement-based super-resolution image reconstruction method comprises the following steps of: calculating micro-displacement by utilizing characteristic points in images of image sequences with the random micro-displacement; performing high-accuracy extraction on coordinates of the same characteristic points; setting two original images with the pixel size of 2d, the resolution of N and the sub-pixel micro-displacement of a as A and B; and setting a to-be-reconstructed image with the resolution of 2N as H, and as the image sequences are displaced and then scenes correspondingto H0 and H1 in the image are imaged only in A and not in B, in the process of reconstructing H, making equal H0, H1 and A0, performing the reconstruction according to corresponding relationships between H2, H3 and the like, and A and B and own weights of H2, H3 and the like for H2, H3 and the like, and obtaining a formula by deduction to calculate gray values. The method is mainly applied to theimage processing.

The invention relates to an analogue-to-digital direct operational conversion method and an analogue-to-digital cascade converter and an application thereof, and belongs to the signal measurement and processing, and electronic equipment technical field. The conversion method amplifies a residual voltage signal to twice the size thereof to serve as a cascade signal and the range of an output cascade signal is the same as the range of an input analogue signal. The analogue-to-digital cascade converter is composed of a plurality of AD conversion units which have same structural parameters and are in cascaded structure. The AC conversion units are composed of a voltage comparator, an electric level switch part, an operational amplifier and a resistor; the voltage comparator completes the polarity discrimination of an analog input signal; the resistor is matched with the operational amplifier to complete the residual operation and the function of twice amplification; and the electric level switch part is used for realizing the electric level match of interfaces of an analogue circuit and a digital circuit.

The invention relates to a method for speech emotion recognition using emotion perception spectrum features. Firstly, a pre-emphasis method is used to perform high-frequency enhancement on the input speech signal, and then the fast Fourier transform is used to convert it to a frequency to obtain a speech frequency signal; and then for the speech frequency The signal is divided into multiple sub-bands by using the emotion-aware sub-band division method; the emotional-aware spectral features are calculated for each sub-band, and the spectral features include emotional entropy features, emotional spectrum harmonic inclinations, and emotional spectrum harmonic flatness; The spectral features are calculated by global statistical features to obtain the global emotion perception spectrum feature vector; finally, the emotion perception spectrum feature vector is input to the SVM classifier to obtain the emotion category of the speech signal. According to the principle of the speech psychoacoustic model, the invention adopts the perceptual sub-band division method to accurately describe the emotional state information, and performs emotional recognition through the sub-band spectral features, and improves the recognition rate by 10.4% compared with the traditional MFCC features.