Abstract: A neural network system and a signal processing method are provided. The neural network system includes at least one processing unit and a neural network module. The signal processing method includes: inputting a neural network input to the neural network module by the processing unit to generate an input at a previous layer of each convolutional transformer layer; performing pointwise convolution on the input by a key embedding layer based on key convolutional kernels to output a key tensor; performing convolution on the input by a value embedding layer based on value convolutional kernels to output a value tensor; performing a convolution on the cascading tensor of a first tensor and the key tensor by an attention embedding layer based on attention convolution kernels to output an attention tensor; and outputting an output tensor based on the attention tensor and the value tensor by an output module.

Abstract: An image recognition system includes a color conversion module and a target recognition module. The color conversion module is configured to convert a gray-level image into a preset color image according to a conversion function. The target recognition module includes a machine learning algorithm, and the machine learning algorithm includes a plurality of functions and a plurality of parameters. The machine learning algorithm receives the preset color image, and outputs a recognition result according to the functions and the parameters, the recognition result including an existent target or a null target.

Abstract: An apparatus and a method for video processing are provided. A first video signal is received by the apparatus for video processing. An impedance adjusting module analyses the first video signal, a control signal is generated by the impedance adjusting module according to a first gray level of the first video signal, and the impedance adjusting module adjusts an input impedance value according to the control signal. The first video signal is processed by the impedance adjusting module, and a second video signal is generated according to the input impedance value. The display module is coupled to the impedance adjusting module and receives the second video signal, wherein a second gray level of the second video signal is adjusted through the input impedance value.

Abstract: In the specification and drawing an apparatus for adjusting definition is disclosed. The apparatus can separate the first set of pulses from the second set of pulses and modulate distinct definition signals. Moreover, a method for adjusting definition is also disclosed in specification and drawing.

Abstract: The present invention provides a gamma curve compensating device and method using the same. The gamma curve compensating device includes an amplifier module, a signal corrector, and an attenuating unit. The amplifier module receives and amplifies a signal, and couples to a first impedance element and a second impedance element. The signal corrector includes a third impedance element which serially connects to a first transistor and couples to the amplifier module. When the voltage difference between an output terminal of the amplifier module and a control terminal of the first transistor is larger than a startup voltage of the first transistor, the signal corrector changes the signal output by the amplifier module and generates a compensated video signal. The attenuating unit connects with the output terminal of the amplifier module to attenuate the signal at the output terminal of the amplifier module, thereby outputting the gamma compensated video signal.