The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

Abstract: Error-correcting codes, such as classical BCH codes, are widely used in noisy channels, but emerging wavelet-based approaches offer adaptive alternatives. This article compares linear codes ...

Sometimes, reading Python code just isn’t enough to see what’s really going on. You can stare at lines for hours and still miss how variables change, or why a bug keeps popping up. That’s where a ...

A class that is able to develop any (n, k) linear code. Includes an implementation of an ASCII correcting linear code along with a simulation of error correction.

Abstract: The b-symbol metric is a generalization of the Hamming metric. Linear codes in the b-symbol metric have been used in the read channel whose outputs consist of b consecutive symbols. The ...