Для просмотра ссылки Войди или Зарегистрируйся
Название: Digital Signal Processing with Python Programming
Год: 2017
Издатель: Wiley
Язык: english
Кол-во страниц: 258
Формат: PDF
Описание:
Parameter estimation and hypothesis testing are the main tools of statistical inference. These methods are used in many data processing applications, and Monte Carlo methods have also become an important tool for evaluating performance. The author implies that the reader has a good knowledge of the Python language and an understanding of the basics of DSP. For educational purposes, the book includes several computational tasks and exercises. To prevent students from getting stuck on the exercises, detailed corrections are provided.
Скачать
Для просмотра ссылки Войдиили Зарегистрируйся
Название: Digital Signal Processing with Python Programming
Год: 2017
Издатель: Wiley
Язык: english
Кол-во страниц: 258
Формат: PDF
Описание:
Parameter estimation and hypothesis testing are the main tools of statistical inference. These methods are used in many data processing applications, and Monte Carlo methods have also become an important tool for evaluating performance. The author implies that the reader has a good knowledge of the Python language and an understanding of the basics of DSP. For educational purposes, the book includes several computational tasks and exercises. To prevent students from getting stuck on the exercises, detailed corrections are provided.
Скачать
Для просмотра ссылки Войди