Abstract:
For continuous-time multi-stage noise shaping analog-to-digital converters (CT MASH ADCs), quantization noise cancellation often requires accurate estimation of transfer functions, e.g., a noise transfer function of the front end modulator and a signal transfer function of the back end modulator. To provide quantization noise cancellation, digital quantization noise cancellation filters adaptively tracks transfer function variations due to integrator gain errors, flash-to-DAC timing errors, as well as the inter-stage gain and timing errors. Tracking the transfer functions is performed through the direct cross-correlation between the injected maximum length linear feedback shift registers (LFSR) sequence and modulator outputs and then corrects these non-ideal effects by accurately modeling the transfer functions with programmable finite impulse response (PFIR) filters.
Abstract:
Remote evaluation, e.g., web-based evaluation, lowers the evaluation barrier by allowing an engineer to gain experience with an integrated circuit (IC) using a client (e.g. a web browser) on a remote computer (e.g., a machine remote from the IC being evaluated but local to the engineer) to activate a test set-up that is maintained at a location that is far away from the engineer.
Abstract:
A flash analog-to-digital converter (ADC) includes comparators that convert an analog input signal to a digital output signal. Offsets of these comparators introduce noise and can hurt the performance of the ADC. Thus, these comparators are calibrated using calibration codes. Conventional calibration methods determine these calibration codes by removing the ADC from an input signal. Otherwise, it is difficult to distinguish the noise from the signal in the calibration measurement. In contrast, an embodiment can determine the calibration codes while the ADC converts the input signal to a digital signal. Such an embodiment can be achieved by a frequency-domain technique. In an embodiment employing a frequency-domain power meter, an input signal can be removed from the power measurement. This removal enables accurate measurement of in-band noise without having the measurement be corrupted by input signal power.
Abstract:
An analog-to-digital converter (ADC) is a device that can include a reference shuffler and a loop filter. An ADC can achieve better performance with incremental adjustment of a pointer of the reference shuffler, changing coefficients of the loop filter, and storing calibration codes of the ADC in a non-volatile memory. By incrementally adjusting a pointer of the reference shuffler, a calibration can be performed more efficiently than with a random adjustment of the pointer. By temporarily changing the loop filter coefficients, a greater amount of activity can be introduced into the loop filter. This activity can allow the calibration to proceed more efficiently. By storing the calibration codes in a non-volatile memory, a search space for calibration codes can be reduced. Thus, a calibration can occur more quickly, and the calibration itself can be improved.
Abstract:
For continuous-time multi-stage noise shaping analog-to-digital converters (CT MASH ADCs), quantization noise cancellation often requires accurate estimation of transfer functions, e.g., a noise transfer function of the front end modulator and a signal transfer function of the back end modulator. To provide quantization noise cancellation, digital quantization noise cancellation filters adaptively tracks transfer function variations due to integrator gain errors, flash-to-DAC timing errors, as well as the inter-stage gain and timing errors. Tracking the transfer functions is performed through the direct cross-correlation between the injected maximum length linear feedback shift registers (LFSR) sequence and modulator outputs and then corrects these non-ideal effects by accurately modeling the transfer functions with programmable finite impulse response (PFIR) filters.
Abstract:
An integrated circuit includes a component calculator configured to compute at least one component value of a highly programmable analog-to-digital converter (ADC) from at least one application parameter, and a mapping module configured to map the component value to a corresponding register setting of the ADC based on at least one process parameter, wherein the integrated circuit produces digital control signals capable of programming the ADC. In a specific embodiment, the component calculator uses an algebraic function of a normalized representation of the application parameter to approximately evaluate at least one normalized ADC coefficient. The component value is further calculated by decimalizing the normalized ADC coefficient. In another specific embodiment, the component calculator uses an algebraic function of the application parameter to calculate the component value. In some embodiments, the integrated circuit further includes a scaling module configured to scale the component value based on scaling parameters.
Abstract:
Analog-to-digital converters (ADCs) can be used inside ADC architectures, such as delta-sigma ADCs. The error in such internal ADCs can degrade performance. To calibrate the errors in an internal ADC, comparator offsets of the internal ADC can be estimated by computing a mean of each comparator of the internal ADC. Relative differences in the computed means serves as estimates for comparator offsets. If signal paths in the internal ADC are shuffled, the estimation of comparator offsets can be performed in the background without interrupting normal operation. Shuffling of signal paths may introduce systematic measurement errors, which can be measured and reversed to improve the estimation of comparator offsets.
Abstract:
Data converters convert signals in analog form to digital form or from digital form to analog form. Due to mismatches between devices that are intended to be identical (unary elements), some data converters outputs may have undesirable characteristics, such as non-linearities. Shuffling the inputs to the unary elements based on a pseudo-random sequence is a technique that can average out the mismatches over time. However, shuffling generally requires a complex switch matrix, and can potentially impact the speed of the converter. To address mismatches, a high speed technique for rotating comparator thresholds is implemented to effectively rotate an array of unary digital-to-analog converter elements. The technique is particularly advantageous for addressing mismatches in unary digital-to-analog converters used for reconstructing a quantized analog signal within delta-sigma analog-to-digital converter.
Abstract:
An integrated circuit includes a component calculator configured to compute at least one component value of a highly programmable analog-to-digital converter (ADC) from at least one application parameter, and a mapping module configured to map the component value to a corresponding register setting of the ADC based on at least one process parameter, wherein the integrated circuit produces digital control signals capable of programming the ADC. In a specific embodiment, the component calculator uses an algebraic function of a normalized representation of the application parameter to approximately evaluate at least one normalized ADC coefficient. The component value is further calculated by decimalizing the normalized ADC coefficient. In another specific embodiment, the component calculator uses an algebraic function of the application parameter to calculate the component value. In some embodiments, the integrated circuit further includes a scaling module configured to scale the component value based on scaling parameters.
Abstract:
Remote evaluation, e.g., web-based evaluation, lowers the evaluation barrier by allowing an engineer to gain experience with an integrated circuit (IC) using a client (e.g. a web browser) on a remote computer (e.g., a machine remote from the IC being evaluated but local to the engineer) to activate a test set-up that is maintained at a location that is far away from the engineer.