Transmission Profile Matching
Transmission Profile Matching - Related Videos
01:17
Sign Test for Matched Pairs
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2025
The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values. To conduct the sign test, we first calculate the differences in value between...
09:43
Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
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Cited by 10 •
2017
We demonstrate the transmission of multiple independent signals through a multimode fiber using wavefront shaping employing a single spatial light modulator. By modulating the wavefront for each signal individually, spatially separated foci are transmitted. Potential applications are multiplexed data transfer in communications engineering and endoscopic light delivery in biophotonics.
11:09
An Easy Method for Plant Polysome Profiling
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Cited by 20 •
2016
This protocol describes an easy method to extract and fractionate transcripts from plant tissues on the basis of the number of bound ribosomes. It allows a global estimate of translation activity and the determination of the translational status of specific mRNAs.
08:29
Expression Profiling with Microarrays
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2023
Microarrays are important tools for profiling gene expression, and are based on complementary binding between probes that are attached to glass chips and nucleic acids derived from samples. Using these arrays, scientists can simultaneously evaluate the expression of thousands of genes. In addition, the expression profiles of different cells or tissue types can be compared, allowing researchers to deduce how the expression of different genes change during biological processes, and thus gain...
09:30
Non-invasive Assessment of Changes in Corticomotoneuronal Transmission in Humans
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Cited by 6 •
2017
The aim of the present study was to assess changes in transmission at the corticomotoneuronal synapses in humans after repetitive transcranial magnetic stimulation. For this purpose, an electrophysiological method is introduced that allows assessment of pathway specific corticospinal transmission, i.e. differentiation of fast, direct corticospinal pathways from polysynaptic connections.
FAQs
The comparison examines transmission behavior along the dimensions that matter for the engineered system, such as frequency, time, or operating condition. A response that aligns under one condition may diverge under another, revealing where performance changes. Evaluating these dimensions helps distinguish localized mismatch from broader behavior and supports more reliable design decisions.
A mismatch shows that the system’s actual transmission behavior differs from its desired or reference behavior. The difference can point to limitations in a component, channel, interface, or connected transmission path. Engineers can then relate the discrepancy to design parameters, using the comparison to guide adjustments intended to reduce distortion and improve signal integrity.
A reference profile provides a defined basis for judging whether measured behavior is acceptable or requires adjustment. Without that comparison, engineers can observe a response but have less context for determining its significance. Linking measurements to a target also supports model validation by showing whether the system behaves as the design representation predicts.
A typical workflow begins by establishing a desired or reference profile, then evaluating the system’s measured transmission response across relevant frequency, time, or operating conditions. Engineers compare the two profiles, identify mismatches, and adjust design parameters where appropriate. Repeating the comparison after adjustment provides a practical way to assess whether alignment and performance have improved.
The method is relevant to communications, electronics, and networked systems wherever signals, energy, or information pass through components, channels, or interfaces. It can support channel characterization, calibration, and model validation. These uses make the approach valuable for examining transmission paths, locating behavior that departs from a target, and maintaining more consistent system performance.
By connecting measured responses with design targets, engineers can identify where a transmission path fails to follow the expected profile. The resulting comparison helps separate intended behavior from performance that may contribute to distortion or weakened signal integrity. This evidence supports targeted optimization rather than relying only on general observations of system performance.