The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Switching noise cancellation (SNC) at the output of a pipelined ADC without noise sensors is proposed to reduce both additive and multiplicative noise errors stemming from digital switching noise coupling to analog circuits. A prototype 12b 40MS/s ADC was fabricated in 0.18-μm CMOS. The ADC plus digital test circuits occupy 4 mm2. With periodic switching noise, SNC improves SNDR by 10 dB and SFDR...
This paper presents a method to calibrate the gain and memory errors of a pipelined analog-to-digital converter (ADC) used in an adaptively equalized baseband receiver. Both types of errors degrade ADC linearity, which significantly limits overall system performance. Adaptive finite-impulse-response filters at the output of each pipeline stage correct gain and memory errors and also perform channel...
We propose a blind calibration algorithm for removing the distortion created by timing mismatches in time-interleaved analog-to-digital converters (TIADCs). A polyphase domain model of the TIADC which is parameterized by the timing mismatches is introduced. The model is used to derive correction and estimation methods which work in tandem. The adaptive blind estimation method only requires a slight...
The detailed description of large scale power systems inevitably results in models whose mathematical analysis is inaccessible. Several approximation techniques based on aggregation and averaging ideas are presented and their possible application to the analysis of hybrid systems is discussed.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.