• формат pdf
  • размер 8.22 МБ
  • добавлен 17 сентября 2011 г.
Candy J.W., Bayesian Signal Processing
Hoboken, JohnWiley & Sons, Inc., 2007. - 460p.

Монография посвящена применению байесовского подхода в статистике к построению методов обработки сигналов. Рассмотрены как классические подходы (калмановская фильтрация, скрытые марковские цепи), так и недавно предложенные. Продемонстрировано использование этих методов в решении задач обработки физических данных (в приложении к ядерной физике, биологии и океанографии). Рассчитана на научных работников и аспирантов соответствующих отраслей.
Похожие разделы
Смотрите также

Barner K.E., Arce G.R. Nonlinear Signal and Image Processing. Theory, Methods, and Applications

  • формат pdf
  • размер 30.43 МБ
  • добавлен 28 июня 2011 г.
Издательство CRC Press, 2004, -535 pp. Книга из серии «The Electrical Engineering and Applied Signal Processing Series» Nonlinear signal processing methods continue to grow in popularity and use. This growth is due to one factor—performance. While it is true that linear methods continue to dominate in current practice, nonlinear methods are making steady progress in moving from theoretical explorations to practical implementations. Clearly, the...

Bilinskis I. Digital Alias-Free Signal Processing

  • формат pdf
  • размер 6.58 МБ
  • добавлен 22 декабря 2011 г.
John Wiley & Sons Ltd, 2007, - 456 pages. Much attention in this book is paid to resolving the problems caused by overlapping of periodically sampled signal frequencies. This effect, known as aliasing, restricts application of the conventional digital signal processing methods and techniques to the frequency range where the achievable sampling rate could at least twice exceed the higher frequency present in the spectrum of the signal to be di...

Bose N.K., Rao C.R. (eds.) Handbook of Statistics 10: Signal Processing and its Applications

  • формат djvu
  • размер 8.99 МБ
  • добавлен 29 ноября 2011 г.
Elsеvier Sciеnce, 1993. - 992 pages. This volume of the "Handbook of Statistics" emphasizes both theory and applications. The collection of chapters deals with the topics of fast computations and transforms in signal processing, sampling theorems, parameter estimation and signal modelling, image and multidimensional signal processing, array processing, direction-of-arrival estimation, beamforming, adaptive algorithms, multiscale signal processi...

Candy J.V. Model-Based Signal Processing

  • формат pdf
  • размер 18.2 МБ
  • добавлен 21 июня 2011 г.
Издательство John Wiley & Sons, 2006, -701 pp. Учебник по обработке сигналов (для студентов и аспирантов). Оригинальный подход, основанный на построении моделей и процессоров для их функционирования. This text develops the model-based approach to signal processing for a variety of useful model-sets, including what has become popularly termed physics-based models. It presents a unique viewpoint of signal processing from the model-based perspe...

Cichocki A., Amari S. Adaptive Blind Signal and Image Processing

  • формат pdf
  • размер 24.01 МБ
  • добавлен 07 июля 2011 г.
Издательство John Wiley, 2000, -587 pp. Signal processing has always played a critical role in science and technology and development of new systems like computer tomography, wireless communication, digital cameras etc. As demand of high quality and reliability in recording and visualization systems increases, signal processing has an even more important role to play. Blind signal processing is now one if the hottest and emerging areas in signal...

Kehtarnavaz N. Real-Time Digital Signal Processing: Based on the TMS320C6000

  • формат pdf
  • размер 11.21 МБ
  • добавлен 22 сентября 2011 г.
Kehtarnavaz N. Real-Time Digital Signal Processing: Based on the TMS320C 6000. - Newnes, 2004. - 320 p. Digital Signal Processing has undergone enormous growth in usage/implementation in the last 20 years and many engineering schools are now offering real-time DSP courses in their undergraduate curricula. Our everyday lives involve the use of DSP systems inthings such as cell phones and high-speed modems; Texas Instruments has introduced the TMS...

Leis John W. Digital Signal Processing Using MATLAB for Students and Researchers

  • формат pdf
  • размер 15.43 МБ
  • добавлен 27 декабря 2011 г.
Wiley, 2011, 396 pages (English) Quickly Engages in Applying Algorithmic Techniques to Solve Practical Signal Processing Problems With its active, hands-on learning approach, this text enables readers to master the underlying principles of digital signal processing and its many applications in industries such as digital television, mobile and broadband communications, and medical/scientific devices. Carefully developed MATLAB® examples through...

Najim M. Digital Filters Design for Signal and Image Processing

  • формат pdf
  • размер 4.99 МБ
  • добавлен 05 августа 2011 г.
Издательство ISTE, 2006, -386 pp. Over the last decade, digital signal processing has matured; thus, digital signal processing techniques have played a key role in the expansion of electronic products for everyday use, especially in the field of audio, image and video processing. Nowadays, digital signal is used in MP3 and DVD players, digital cameras, mobile phones, and also in radar processing, biomedical applications, seismic data processing,...

Stranneby В. Digital Signal Processing: DSP & Applications

  • формат pdf
  • размер 8.5 МБ
  • добавлен 06 августа 2011 г.
Издательство Newnes, 2001, -239 pp. This book is not a basic digital signal processing textbook. Even though the first chapter contains a brief summary of basic digital signal processing theory, it is assumed you have good knowledge of sampling, difference equations, z-transforms, FIR and IIR filters, FFT etc. The main idea of this book is to combine the topics of signal processing theory and implementing DSP algorithms in practice/ The goal is...

White S. Digital Signal Processing. A Filtering Approach

  • формат pdf
  • размер 3.28 МБ
  • добавлен 09 августа 2011 г.
Издательство Delmar, 2000, -229 pp. Digital signal processing (DSP) refers to anything that can be done to a signal using code on a computer or DSP chip. To reduce certain sinusoidal frequency components in a signal in amplitude, digital filtering is done. One may want to obtain the integral of a signal. If the signal comes from a tachometer, the integral gives the position. If the signal is noisy, then filtering the signal to reduce the amplitu...