A scheme is provided for dynamically adjusting an amount of power drawn from individual power sources to optimize the power usage without violating power limits. Coarse adjustment is provided through dynamic phase reallocation while a fine adjustment is provided through dynamic current steering. By adding a control loop around current steering techniques in digital voltage regulator controllers, power drawn from multiple input rails is balanced. The apparatus allows users to maximize the power delivered to discrete graphics cards without violating PCIe specifications. This allows maximum performance with minimal bill-of-material (BOM) cost.

A scheme is provided for dynamically adjusting an amount of power drawn from individual power sources to optimize the power usage without violating power limits. Coarse adjustment is provided through dynamic phase reallocation while a fine adjustment is provided through dynamic current steering. By adding a control loop around current steering techniques in digital voltage regulator controllers, power drawn from multiple input rails is balanced. The apparatus allows users to maximize the power delivered to discrete graphics cards without violating PCIe specifications. This allows maximum performance with minimal bill-of-material (BOM) cost.

An integrated circuit may include a ranging receiver that includes an analog-to-digital converter (ADC) having a time-variant sampling or data rate. Notably, the sampling rate may be increased when a return signal is detected by the ranging receiver. For example, the return signal may be detected using a matched filter (such as a correlation of the return signal and a target signal) and a comparator having a time-variant threshold. The time-variant threshold may be decreased as a function of time after a transmit signal is output in order to track the channel response, such as a decrease in the return signal amplitude for objects at larger ranges. Alternatively or additionally, the sampling rate may be increased based at least in part on a predefined function (such as a closed-form expression or a stepwise function, e.g., a stairstep function) after the transmit signal is output.

An integrated circuit may include a ranging receiver that includes an analog-to-digital converter (ADC) having a time-variant sampling or data rate. Notably, the sampling rate may be increased when a return signal is detected by the ranging receiver. For example, the return signal may be detected using a matched filter (such as a correlation of the return signal and a target signal) and a comparator having a time-variant threshold. The time-variant threshold may be decreased as a function of time after a transmit signal is output in order to track the channel response, such as a decrease in the return signal amplitude for objects at larger ranges. Alternatively or additionally, the sampling rate may be increased based at least in part on a predefined function (such as a closed-form expression or a stepwise function, e.g., a stairstep function) after the transmit signal is output.

An Artificial Neural Network (ANN) processing system includes artificial neurons (processing elements) and an analog to digital converter (ADC). An artificial neuron includes a digital to analog converter (DAC) and a low pass filter (LPF) configured to generate a first filtered analog current signal. Also, the artificial neuron includes a delta-sigma DAC configured to generate an M-bit current signal based on a digital weight value. The artificial neuron also includes a multiplier configured to generate a first output current source signal based on the first filtered analog current signal and the M-bit current signal. The ADC is operably coupled to a common node via a single line and configured to generate a digital output signal based on an input voltage of the ADC. The digital output signal is representative of a summation of output analog current signals at a common node to which the ADC is operably coupled.

An Artificial Neural Network (ANN) processing system includes artificial neurons (processing elements) and an analog to digital converter (ADC). An artificial neuron includes a digital to analog converter (DAC) and a low pass filter (LPF) configured to generate a first filtered analog current signal. Also, the artificial neuron includes a delta-sigma DAC configured to generate an M-bit current signal based on a digital weight value. The artificial neuron also includes a multiplier configured to generate a first output current source signal based on the first filtered analog current signal and the M-bit current signal. The ADC is operably coupled to a common node via a single line and configured to generate a digital output signal based on an input voltage of the ADC. The digital output signal is representative of a summation of output analog current signals at a common node to which the ADC is operably coupled.

An analog-to-digital conversion method, an analog-to-digital converter and an image sensor, are provided. The analog-to-digital conversion method includes a first conversion period and a second conversion period; in the first conversion period and the second conversion period, a first counter and the second counter have different effective clock edges and work in a time-sharing way using the first count clock signal and the second count clock signal respectively; in the second conversion period, count directions of the first counter and the second counter are reversed, and the count results in the first conversion period are used as an initial value of the second conversion period; and the conversion result is output based on the first count result and the second count result.

An analog-to-digital conversion method, an analog-to-digital converter and an image sensor, are provided. The analog-to-digital conversion method includes a first conversion period and a second conversion period; in the first conversion period and the second conversion period, a first counter and the second counter have different effective clock edges and work in a time-sharing way using the first count clock signal and the second count clock signal respectively; in the second conversion period, count directions of the first counter and the second counter are reversed, and the count results in the first conversion period are used as an initial value of the second conversion period; and the conversion result is output based on the first count result and the second count result.

A digital signal processing (DSP) device includes a first fitter to equalize channel dispersion associated with signal transmission through a medium, a second filter to cancel channel reflections, and a third filter to at least reduce noise. The DSP device is a receiver DSP of the SERDES.

A digital signal processing (DSP) device includes a first fitter to equalize channel dispersion associated with signal transmission through a medium, a second filter to cancel channel reflections, and a third filter to at least reduce noise. The DSP device is a receiver DSP of the SERDES.