38, this algorithm can simultaneously identify the defined geometric and non-geometric parameters through a comprehensive error model that includes kinematic and compliance errors. Sign in to download hi-res image Fig. 38. Flowchart of the hybrid least-squares-GA-based algorithm: (a) GA and (b)...
Then the genetic algorithm (GA) is used to optimize the number of neurons in the wavelet and product layers and weights of SRW neural networks, and the error models are established with the GA-SRW, SRW, and back propagation (BP) neural networks. The results show that the predictive ...
Background For many years Global Positioning System (GPS) observations and leveling data have been adopted to evaluate gravimetric geoid, and many studies have been carried out by comparing the interpolated values of the gravimetric geoid at the GPS benchmarks with the corresponding GPS-leveling heig...
such LDPC codes have a parallelizable decoding algorithm (unlike turbo codes), which advantageously involves simple operations such as addition, comparison, and table look-up. Moreover, carefully designed LDPC codes do not exhibit any sign of an error floor. According to one such example embodiment...
The structure of the CLEAN algorithm is shown in the flowchart of Figure 2 and is well documented in the literature. The general idea is to find the largest pulse embedded within the received signal, d(t), by correlating it with a template signal, p(t), that is specified in advance [...
FIG. 13A shows a flowchart of a learning algorithm using a back propagation utilized in the present invention. The learning is conducted as follows. All the information to be learnt is input to a neural network, namely, a layered type network constituted of ANPs, through an input control circ...
FIG. 3 shows a bipartite graph corresponding to a message-passing decoding algorithm that can be used in the memory system of FIG. 1 according to an embodiment of the disclosure;FIG. 4 shows a flowchart of a decoding method that can be used in the memory system of FIG. 1 according to ...
the error coping technique may replace the value of the operand with a programmable value, the last operand value that did not have an error, or a computed value. When the erroneous operand value is replaced, the effect of the local error on the final output of the algorithm is typically ...
while maintaining the lower granularity of the multi-level error diffusion algorithm at gray levels intermediate to the output levels. FIG. 7E shows output produced using the hybrid multi-level dither/error diffusion algorithm with three output levels (No=3). While this method does substantially red...
Boundary matching algorithm (BMA) is the most common method that uses the boundary properties to choose a best motion vector. There are two kinds of BMA. One is using boundary gradient to choose a result which makes the boundary match between lost MB and its neighbors. This method can be ...