Sampling rate conversion (SRC) is one of important issues in modern sampling theory. It can be realized by up-sampling, filtering, and down-sampling operations, which need large complexity. Although some efficient algorithms have been presented to do the sampling rate conversion, they all need to compute the N-point original signal to obtain the up-sampling or the down-sampling signal in the tim...

In many practical applications of digital signal processing sampling rate conversion is a problem. The process of converting a signal from a given rate to a different rate is called Sampling Rate Conversion. Sampling rate conversion process may be based on an integer or a rational factor. In this paper, the process of rational sampling rate conversion is discussed in detail. Along with this, a ...

The conversion of digital signals from a given sampling rate to a second, arbitrary sampling rate, with both sampling rates derived from independent clock generators, is revisited. A general approach to arbitrary sampling rate conversion is presented from which two efficient realisations are deduced. The computational expenditure of both realisations is derived under the restriction of finite c...

Software radio terminals must be able to process many various communications standards. These standards are generally based on different master clock rates and thus employ different bit/chip rates. The most obvious solution to cope with the diversity of master clock rates in one terminal is to provide a dedicated master clock for each standard of operation. Not only too costly, this kind of sol...

Accuracy of oversampled analog-to-digital (A/D) conversion, the dependence of accuracy on the sampling interval and on the bit rate are characteristics fundamental to A/D conversion but not completely understood. These characteristics are studied in this paper for oversampled A/D conversion of band-limited signals in ( ). We show that the digital sequence obtained in the process of oversampled ...

We describe an asynchronous sampling-rate conversion (SRC) algorithm that is specifically tailored to multichannel audio applications. The algorithm is capable of converting between arbitrary asynchronous sampling-rates around a fixed operating point, and is designed to operate in multi-threaded systems. The algorithm uses a set of fractional delay filters together with cubic interpolation to a...

Conversion rate (CVR) prediction is one of the most critical tasks for digital display advertising. Commercial systems often require to update models in an online learning manner catch up with evolving data distribution. However, conversions usually do not happen immediately after user clicks. This may result inaccurate labeling, which called delayed feedback problem. In previous studies, probl...

Digital multistage sampling rate conversion has many engineering applications in fields of signal and image processing, which is to adapt the sampling rates to the flows of diverse audio and video signals. The FIR (Finite Impulse Response) polyphase sampling rate converter is one of typical schemes that are suitable for interpolation or decimation by an integer factor. It also guarantees the st...

If the SRC is performed between arbitrary sampling rates, then the SRC factor can be a ratio of two very large integers or even an irrational number. An efficient way to reduce the implementation complexity of a SRC system in those cases is to use polynomial-based interpolation filters with the impulse response ha(t) having the following properties. ha(t) is nonzero for an interval 0 ≤ t < NT w...