Sentence examples for identification of a convolutional from inspiring English sources

Our earlier identification of a convolutional encoder relied on a similar approach [8].

Among the available methods, few of them are dedicated to the blind identification of convolutional encoders in a noisy environment.

Our method, dedicated to the blind identification of k/n convolutional encoders, also allows the blind identification of the equivalent encoder of the punctured code.

This method allows the identification of parameters and generator matrix of a convolutional encoder.

In [6, 11], a dual code method for blind identification of k/n-rate convolutional codes is proposed for cognitive radio receivers.

Then, an iterative method for the blind identification of convolutional encoders is described in Section 3. Finally, the performances of the method are discussed in Section 4. Some conclusions and prospects are drawn in Section 5. Prior to explain our blind identification method, let us recall the properties of convolutional encoders used in our method.

This comprises of a convolutional neural network whose architecture contains six learned layers: three convolutional and three fully-connected.

Figure 1 Architecture of a convolutional autoencoder for image classification.

The dual code generator matrix of a convolutional encoder, termed a parity check matrix, can also be used to describe a convolutional code.

The average complexity of one iteration of the process dedicated to the blind identification of convolutional encoder is O l m a x 4. Indeed, our blind identification method is divided into three steps: (i) identification of n, (ii) identification of a dual code basis, and (iii) identification of parity checks and a generator matrix.

Identification of an itaconate-cysteine adduct.