Nonlinearity error reduction in signal ratiometry by ratio-to-phase conversion

Digital Transmission : Carrier - to - Noise Ratio , Signal - to - Noise Ratio , and Modulat ion Error Ratio

Effect of Phase-Encoding Reduction on Geometric Distortion and BOLD Signal Changes in fMRI

Introduction Echo-planar imaging (EPI) is a group of fast data acquisition methods commonly used in fMRI studies. It acquires multiple image lines in k-space after a single excitation, which leads to a very short scan time. A well-known problem with EPI is that it is more sensitive to distortions due to the used encoding scheme. Source of distortion is inhomogeneity in the static B0 field that ...

Multipath Error Reduction in Signal Processing

The multipath error reduction methods described in this paper will give you an insight into further development of the so-called "strobe methods" that have been used in pseudo random noise (PRN) receivers since 1975 (see Ref.[1]). These methods already proved their high effectiveness in reducing tracking errors in spreadspectrum (PRN type) digital receivers (see Ref.[2-4]). However, it should b...

Error reduction in EMG signal decomposition.

Decomposition of the electromyographic (EMG) signal into constituent action potentials and the identification of individual firing instances of each motor unit in the presence of ambient noise are inherently probabilistic processes, whether performed manually or with automated algorithms. Consequently, they are subject to errors. We set out to classify and reduce these errors by analyzing 1,061...

Quantifying the Maximum Phase-Distortion Error Introduced by Signal Samplers

Quantifying the errors introduced by signal sampler imperfections is of interest to people who are doing frequency domain measurements. The phase-distortion introduced by the sampler is hard to quantify and is usually neglected. In this article upper bounds for this phase-distortion error are derived which are based upon simple assumptions, namely that the sampler weighting function is strictly...