Analog Digital Conversion
Analog Digital Conversion - Related Videos
02:08
Gene Conversion
0 Views •
2020
Other than maintaining genome stability via DNA repair, homologous recombination plays an important role in diversifying the genome. In fact, the recombination of sequences forms the molecular basis of genomic evolution. Random and non-random permutations of genomic sequences create a library of new amalgamated sequences. These newly formed genomes can determine the fitness and survival of cells. In bacteria, homologous and non-homologous types of recombination lead to the evolution of new...
02:08
Gene Conversion
0 Views •
2023
Other than maintaining genome stability via DNA repair, homologous recombination plays an important role in diversifying the genome. In fact, the recombination of sequences forms the molecular basis of genomic evolution. Random and non-random permutations of genomic sequences create a library of new amalgamated sequences. These newly formed genomes can determine the fitness and survival of cells. In bacteria, homologous and non-homologous types of recombination lead to the evolution of new...
10:13
Fentanyl Analog Screening using LC-TIMS-TOF MS/MS
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Cited by 1 •
2024
A method for the screening of fentanyl analogs based on their retention time, mobility, and mass spectrometry fragmentation pattern.
01:36
Conversion of Units
0 Views •
2023
Sometimes, there is a need to convert from one unit to another one. For instance, reading a cookbook in which quantities are expressed in units of liters or ounces may require conversion of quantities to cups. Or, when looking up directions on how to get to a location, we may be interested to know how many miles we are going to walk. In this case, we would have to convert units of feet or meters to miles. The first step in the unit conversion is to list the given units and the units required...
02:48
Labeling of Replicating HSV-1 Genomes with a Nucleoside Analog
0 Views •
2026
Source: Dembowski, J. A., Deluca, N. A. Purification of Viral DNA for the Identification of Associated Viral and Cellular Proteins. J. Vis. Exp. (2017)This video demonstrates the infection of stationary-phase mammalian cells with HSV-1 (Herpes Simplex Virus-1), followed by replication of the viral genome using host and viral replication machinery. A synthetic nucleoside analog is incorporated into newly synthesized viral DNA to label replicating genomes, which are subsequently isolated for...
FAQs
Sampling rate determines how frequently the input is measured. A higher rate supplies more observations over a given period, while a lower rate supplies fewer. Because the digital representation is built from these discrete observations, the chosen rate directly affects how closely stored data follows changes in the original signal. It is therefore a key fidelity parameter.
Resolution sets the number of available amplitude levels for representing each measurement. With more levels, measured values can be expressed with finer distinctions; with fewer, different input values must share broader intervals. This quantization choice affects how precisely the digital record reflects signal magnitude, making resolution important for dependable measurement and later analysis.
Quantization assigns each measured amplitude to one value within a finite set of levels, while binary encoding expresses that selected level as numerical digital data. These operations transform measurement results into a form digital systems can handle consistently. Together, they allow the converted signal to be stored, processed, transmitted, and analyzed by engineering equipment.
An engineering workflow begins by presenting the physical signal to the converter and defining when measurements will be taken. Each observation is assigned an amplitude level and encoded as a binary value. The resulting data can then move into storage, processing, transmission, or analysis, linking the original measurement with a digital system's operations.
Sampling rate and resolution describe different aspects of signal representation. Sampling rate determines how much time-based detail is captured, whereas resolution determines how finely amplitude is distinguished. Engineers must consider both when seeking a faithful digital record, because frequent observations alone do not provide fine amplitude distinctions, and fine levels alone do not capture changes between observations.
The technique connects sensors and instrumentation with computers, control systems, medical devices, and communications equipment. In these settings, converted measurements support digital filtering, automation, storage, transmission, and analysis. Its engineering value comes from making physical signals usable by digital hardware while preserving information needed for monitoring, decision-making, and system operation.