Search results
Results From The WOW.Com Content Network
A clamper will bind the upper or lower extreme of a waveform to a fixed DC voltage level. These circuits are also known as DC voltage restorers. Clampers can be constructed in both positive and negative polarities. When unbiased, clamping circuits will fix the voltage lower limit (or upper limit, in the case of negative clampers) to 0 volts.
A clamper circuit is not a clipper, but the simple diode version has a similar topology to a clipper with the exception that the resistor is replaced with a capacitor. The clamper circuit fixes either the positive or negative peaks at a fixed voltage (determined by the biasing voltage) rather than clipping them off.
This is the theoretical distribution model for a balanced coin, an unbiased die, a casino roulette, or the first card of a well-shuffled deck. The hypergeometric distribution, which describes the number of successes in the first m of a series of n consecutive Yes/No experiments, if the total number of successes is known. This distribution ...
For finite n, the estimator for is unbiased, but the one for is biased. As for the normal distribution, an unbiased estimator for σ {\displaystyle \sigma } can be obtained by replacing the denominator n by n −1 in the equation for σ ^ 2 {\displaystyle {\widehat {\sigma }}^{2}} .
They should be V in +V bias-V D for the positive clamper and -V in-V bias +V D for the negative clamper. I verified the equations with PSpice. The equations used is this article are completely off. I don't understand where the 2 multiplier comes from. Likewise, the equations for the unbiased circuits has the same problem.
A random r-regular graph is a graph selected from ,, which denotes the probability space of all r-regular graphs on vertices, where < and is even. [1] It is therefore a particular kind of random graph , but the regularity restriction significantly alters the properties that will hold, since most graphs are not regular.
There have been written many different representations of the biased random walks on graphs based on the particular purpose of the analysis. A common representation of the mechanism for undirected graphs is as follows: [2] On an undirected graph, a walker takes a step from the current node, , to node .
A balanced biased graph is (for most purposes) essentially the same as an ordinary graph. If B is empty, Ω is called contrabalanced. Contrabalanced biased graphs are related to bicircular matroids. If B consists of the circles of even length, Ω is called antibalanced and is the biased graph obtained from an all-negative signed graph.