- •Unit 1. Introduction. Adaptive filters
- •Text a. Adaptive Processing
- •Read and translate Text a using Essential Vocabulary Text a. Adaptive Processing
- •Fig.1. Schematic of adaptive filter
- •Scheme 2b.
- •Text b. Adaptive Filters. The Historical Review
- •Text c. Adaptive Filter Operation
- •Read and translate Text c using Essential Vocabulary Text c. Adaptive Filter Operation
- •Text a. Recursive Filters
- •Read and translate Text a using Essential Vocabulary
- •Unit 2. Programmable filter designs
- •Text b. Nonrecursive Filters
- •Read and translate Text b using Essential Vocabulary Text b. Nonrecursive Filters
- •Task 1. Describe the work of Nonrecursive Filter using Scheme1. Compress Text b, part I.
- •Task 3. Speak about the Lattice Structure using Scheme 3.
- •Text c. Transformed-Based Filters
- •Unit 3. Adaptive filters
- •Text a. Adaptive Infinitive Impulse Response Filters (iif)
- •Text a. Adaptive Infinitive Impulse Response Filters (iif)
- •Text b. Adaptive Finite Impulse Response Filters (fir)
- •Unit 4. Supplementary texts for reading, translation and discussion Text 1
- •Список литературы
- •Интернет-источники
Text b. Adaptive Finite Impulse Response Filters (fir)
Essential Vocabulary
approach rate of convergence converged error deficiency to alter LMS (least mean squares)
slow-convergence response of LMS adaptive filter
to incorporate adaptive prediction error filter
spectral whitening parametric spectral estimator
to estimate |
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Read and translate Text B using Essential Vocabulary
Text B. Adaptive Finite Impulse Response Filters (FIR)
Much of the reported literature on adaptive filters has been based on the FIR .filter-based approaches. They are relatively simple to design and construct, and
Well-understood adaption algorithms (e.g., IMS) exist whose performance, with regard to rate of convergence, converged error, and so on, is well documented. Thus this is the approach most widely applied in the telecommunications applications of adaptive filters such as equalization and echo cancellation.
One of the major deficiencies of this approach is that the filter weights are altered according to a single, global error. The weights are therefore interrelated and this is one of the reasons for the relatively slow convergence response of IMS adaptive filters. One technique for overcoming this is to employ the lattice filter. The adaptive lattice structure, which incorporates recursive calculation of the internal Parcor coefficients, is an adaptive prediction error filter which performs spectral whitening. This property permits it to model the input signal and act as a parametric spectral estimator.
Task 1. Translate the following verbs with the prepositions into English.
Базировать на; быть довольно простым для; в отношении к чему-либо; наиболее широко используемый в; изменяться в соответствии с; способ для продления.
Task 2. Answer the questions to Text B.
What is the approach most widely applied in telecommunication applications of adaptive filters?
What is one of the major deficiencies of this approach?
What is one of the reasons for the relatively slow convergence response of LMA adaptive filters?
What is the technique for overcoming this deficiency?
Task 3. Translate the sentences into English.
Адаптивные фильтры обычно состоят из двух отдельных частей: фильтра и адаптивного алгоритма.
Структура фильтра используется для выполнения искомой функции обработки информации.
Адаптивный алгоритм предназначен для построения параметров (коэффициентов) этого фильтра.
Большое количество возможных комбинаций структуры фильтра и законов адаптивного управления ими приводят к значительному разнообразию адаптивных фильтров.
Task 4. Put questions (in English) to the statements given above to discover all the details.
