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A convolutional encoder typically consisting of a shift register of length K-1 and generates codes that mix input bit with memory values using an XOR operation to generate the output sequence.
To overcome these challenges, and based on the observation that cache-resident memory values of ordinary programs exhibit a strong bias towards zero, this paper deals with new low leakage, hardened, and read-static-noise-margin-free SRAM memory cells for nano-scaled CMOS technology.
An X-machine is a general computational machine that can model: (a) non-trivial data structures as a typed memory tuple and (b) the dynamic part of a system by employing transitions, which are not labelled with simple inputs but with functions that operate on inputs and memory values.
We say that an algorithm is resilient to memory faults if, despite the corruption of some memory values before or during its execution, it is nevertheless able to get a correct output at least on the set of uncorrupted values (i.e., the algorithm works correctly on uncorrupted data).
The basic behaviour is that of the synchronous data-flow languages family [8]: at each reaction step, values of the input flows are used, as well as local and memory values, in order to compute the values of the output flows for that step, and memories for the next step.
In Figure 11, we compare the computational complexity of the proposed method with those of VE when the channel memory values of μ=4,8, and 16 are used, the alphabet size is υ=2, the ADIR memory is assumed as N d −1=2, and M is increasing from 0 to 150.
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If that person who looks like Martin manifests attitudes such as beliefs, intentions, memories, values typical of Martin Guerre; then this person is [probably] Martin.
Using this method, significantly lower running times and memory consumption values are obtained, compared with values before the automatic collapsing.
The separation of the conductance peak position during bidirectional sweep agrees well with the memory window values obtained from C-V measurements.
In this case, threads also must load in shared memory the values of adjacent pixels in order to compute the pixels located in borders.
According to the model presented earlier in Fig. 2, signal detection theory holds that unobservable (latent) memory strength values for targets and foils are distributed according to Gaussian distributions with means of μ Target and μ Foil, respectively.
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